Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis

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However, a comprehensive mapping of sustainability-oriented digital fashion skills and their relationship to vocational teacher competency frameworks is still limited. The research conducted in this paper aims to map trends in existing research and identify key digital fashion skills that should be taught in Green TVET, which will be used in designing a digital fashion skills framework for future vocational teachers. Methods The method used was a systematic literature review (SLR) using the PRISMA 2020 guidelines. Additionally, bibliometric analysis was used to examine research patterns and the evolution of themes. As a result, 62 peer-reviewed journal articles indexed in Scopus and published between 2021 and 2025 were included according to predetermined inclusion and exclusion criteria. Results The core skill domains identified in the digital fashion world for future vocational education teachers in Green TVET resulted in eight skills: 1) Digital Design Skills, 2) Digital Pattern Skills, 3) Digital Production Skills, 4) Digital Sustainability Skills, 5) Digital Ethics & Data Security Skills, 6) Digital Learning & Pedagogy Skills, 7) Digital Communication & Marketing Skills, and 8) Digital Entrepreneurship Skills. Overall, these domains form a competency framework that encompasses the technical, cognitive, and pedagogical dimensions of sustainability-oriented vocational fashion teachers. Conclusion This study provides a robust, evidence-based foundation for transforming the fashion vocational curriculum, creating professional development schemes, and strengthening policy measures targeting the development of digital and green skills in vocational education and training (TVET). The proposed framework paves the way for training the next generation of fashion teachers who are ready to face the challenges of digitalization and sustainability. " } { "@context": "http://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "item": { "@id": "https://f1000research.com/", "name": "Home" } }, { "@type": "ListItem", "position": "2", "item": { "@id": "https://f1000research.com/browse/articles", "name": "Browse" } }, { "@type": "ListItem", "position": "3", "item": { "@id": "https://f1000research.com/articles/15-196/v1", "name": "Mapping Digital Fashion Skills in Green TVET: Foundations for Future..." } } ] } Home Browse Mapping Digital Fashion Skills in Green TVET: Foundations for Future... ALL Metrics - Views Downloads Get PDF Get XML Cite How to cite this article Sholikhah R, Triyono MB, -Sukarno S et al. Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.12688/f1000research.176893.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Systematic Review Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] Roudlotus Sholikhah https://orcid.org/0009-0005-1722-999X 1,2 , Mochamad Bruri Triyono https://orcid.org/0000-0001-5720-9604 1 , Sukarno -Sukarno https://orcid.org/0009-0007-9708-2434 3 , Sudiyono -Sudiyono https://orcid.org/0000-0001-6786-3095 4 , Dias Aziz Pramudita https://orcid.org/0000-0002-8369-6984 1,5 , Hamid Nasrullah https://orcid.org/0000-0001-8265-1314 1 Roudlotus Sholikhah https://orcid.org/0009-0005-1722-999X 1,2 , Mochamad Bruri Triyono https://orcid.org/0000-0001-5720-9604 1 , [...] Sukarno -Sukarno https://orcid.org/0009-0007-9708-2434 3 , Sudiyono -Sudiyono https://orcid.org/0000-0001-6786-3095 4 , Dias Aziz Pramudita https://orcid.org/0000-0002-8369-6984 1,5 , Hamid Nasrullah https://orcid.org/0000-0001-8265-1314 1 PUBLISHED 05 Feb 2026 Author details Author details 1 Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, Special Region of Yogyakarta, 55281, Indonesia 2 Fashion Design Education, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Central Java, 50229, Indonesia 3 English Language Education, Faculty of Languages and Arts, Universitas Negeri Yogyakarta, Yogyakarta, Special Region of Yogyakarta, 55281, Indonesia 4 Mechanical Engineering Education, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Central Java, 50229, Indonesia 5 Technische Universitat Dresden, Dresden, Saxony, Germany Roudlotus Sholikhah Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Methodology, Resources, Software, Validation, Visualization, Writing – Original Draft Preparation Mochamad Bruri Triyono Roles: Investigation, Supervision Sukarno -Sukarno Roles: Investigation, Supervision Sudiyono -Sudiyono Roles: Data Curation, Methodology, Project Administration, Writing – Review & Editing Dias Aziz Pramudita Roles: Formal Analysis, Funding Acquisition, Software, Visualization, Writing – Review & Editing Hamid Nasrullah Roles: Data Curation, Funding Acquisition, Project Administration, Validation, Writing – Review & Editing OPEN PEER REVIEW DETAILS REVIEWER STATUS Abstract Abstract* Background The fashion industry is undergoing a digital transformation, creating a pressing demand for digital fashion skills in Green TVET. However, a comprehensive mapping of sustainability-oriented digital fashion skills and their relationship to vocational teacher competency frameworks is still limited. The research conducted in this paper aims to map trends in existing research and identify key digital fashion skills that should be taught in Green TVET, which will be used in designing a digital fashion skills framework for future vocational teachers. Methods The method used was a systematic literature review (SLR) using the PRISMA 2020 guidelines. Additionally, bibliometric analysis was used to examine research patterns and the evolution of themes. As a result, 62 peer-reviewed journal articles indexed in Scopus and published between 2021 and 2025 were included according to predetermined inclusion and exclusion criteria. Results The core skill domains identified in the digital fashion world for future vocational education teachers in Green TVET resulted in eight skills: 1) Digital Design Skills, 2) Digital Pattern Skills, 3) Digital Production Skills, 4) Digital Sustainability Skills, 5) Digital Ethics & Data Security Skills, 6) Digital Learning & Pedagogy Skills, 7) Digital Communication & Marketing Skills, and 8) Digital Entrepreneurship Skills. Overall, these domains form a competency framework that encompasses the technical, cognitive, and pedagogical dimensions of sustainability-oriented vocational fashion teachers. Conclusion This study provides a robust, evidence-based foundation for transforming the fashion vocational curriculum, creating professional development schemes, and strengthening policy measures targeting the development of digital and green skills in vocational education and training (TVET). The proposed framework paves the way for training the next generation of fashion teachers who are ready to face the challenges of digitalization and sustainability. READ ALL READ LESS Keywords Digital fashion skills, Green TVET, vocational teacher competencies, sustainable fashion, systematic literature review, and bibliometric analysis. Corresponding Author(s) Roudlotus Sholikhah ( [email protected] ) Close Corresponding author: Roudlotus Sholikhah Competing interests: No competing interests were disclosed. Grant information: This research was funded by the Indonesian Education Endowment Fund (LPDP), Ministry of Finance of the Republic of Indonesia, under Grant Number SKPB5859/LPDP/LPDP.3/2024. Article Processing Charges (APC) were supported by LPDP (Indonesian Education Endowment Fund) with Number SKPB5859/LPDP/LPDP.3/2024 and BPI (Indonesian Education Scholarship Program) with Number 01408/BPPT/BPI.06/9/2023 and 00393/BPPT/BPI.06/9/2023. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2026 Sholikhah R et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Sholikhah R, Triyono MB, -Sukarno S et al. Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.12688/f1000research.176893.1 ) First published: 05 Feb 2026, 15 :196 ( https://doi.org/10.12688/f1000research.176893.1 ) Latest published: 22 Apr 2026, 15 :196 ( https://doi.org/10.12688/f1000research.176893.2 )  There is a newer version of this article available. Suppress this message for one day. Introduction The rapid digital transformation across various global sectors has significantly changed the skills required in today’s workforce, including the fashion industry. Innovations such as 3D garment simulation, virtual prototyping, artificial intelligence-powered design, and immersive technologies like augmented and virtual reality have transformed the design, production, and education of fashion products. 1 , 2 Concurrently, the global shift towards sustainability to achieve the Sustainable Development Goals has accelerated the need for environmentally friendly methods in fashion and textile education. 3 – 5 In this context, Green TVET emerges as a crucial platform for preparing a future workforce equipped with advanced digital skills and a deep understanding of sustainability. Especially for future vocational teacher education, this change emphasizes the importance of developing future vocational educators who master digital mode technologies well into the learning process, while supporting sustainable principles and practices among students. 2 – 4 Recent research indicates a growing interest in digital skills in vocational and fashion education, reflecting the changing needs of Industry 4.0 and the broader creative economy. Research on digital skills in vocational and technical education emphasizes the importance of technical expertise, innovative thinking, and teaching skills in supporting technology-based learning and preparing students for the workforce. 6 , 7 In fashion education, research highlights the importance of modern digital technologies such as CLO3D, digital prototyping, and 3D garment simulation in improving design accuracy, minimizing material waste, and accelerating design and production processes. 8 , 9 Meanwhile, Green TVET emphasizes the importance of building an understanding of sustainability, environmentally friendly skills, and environmentally friendly practices to prepare students for the environmentally friendly sector. 10 , 11 In line with this, research on vocational teacher training emphasizes the importance of digital teaching skills, flexible skills, and innovative teaching methods to meet the demands of today’s curriculum. 12 , 13 Although digital technology and sustainability principles have become key concerns in the transformation of the fashion sector and vocational education, there is still a lack of research on the digital fashion skills that prospective vocational teachers must possess to adapt to global change. Previous studies have not provided a comprehensive mapping of digital fashion skills within the context of sustainable vocational education. 14 – 16 The absence of an evidence-based competency framework makes it difficult for TVET institutions to develop curricula that align with ever-changing industry expectations and technological and sustainability needs. Consequently, many TVET programs struggle to connect technological innovation and digital fashion skills that support sustainability. 6 , 17 Furthermore, there has been no bibliometric analysis or systematic literature review on global research related to digital fashion skills in the context of sustainable vocational education, especially for vocational education teachers, policy makers, and curriculum designers in making evidence-based decisions. 18 , 19 To address this issue, a literature review is needed to map digital fashion skills, serving as a foundation for developing a framework and input for the preparation of future vocational teachers within the Green TVET framework. This study uses a Systematic Literature Review and Bibliometric analysis approach to provide an in-depth understanding of how digital fashion skills have evolved, how digital fashion skills relate to sustainability demands, and how this knowledge can assist in designing an appropriate competency framework for vocational teacher education. The novelty of this study also lies in its clear focus on linking technological innovations with sustainability-focused teaching methods, an area that remains under-researched despite its increasing relevance for future-proofing TVET systems. 6 , 11 , 20 By synthesizing existing information into an evidence-based conceptual foundation, this study provides relevant guidance for policymakers, curriculum designers, and teacher educators seeking to update TVET programs in fashion to align with global sustainability and digitalization goals. This view not only emphasizes the importance of empirical research that links theory to practice but also highlights the need for effective strategies in designing teaching models for the future, which can provide a broad range of skills to vocational teachers. The synthesis resulting from this systematic review and bibliometric analysis provides in-depth insights into the development of digital fashion skills within the broader Green TVET agenda and the impact this direction has on the preparation of future TVET teachers. The research suggests the need for a well-structured competency framework that routinely incorporates digital skills, sustainable design principles, and innovative teaching strategies to keep TVET teachers abreast of industry developments and sustainability demands. 6 , 21 , 22 These findings collectively highlight a strategic direction to provide a robust theoretical and practical foundation for the development of digital-green skills for future TVET teachers. Research questions of this article are: RQ1: What are the current trends, themes, and research on digital fashion skills in the context of Green TVET, based on global scientific publications? RQ2: How are digital fashion skills mapped, specifically in relation to sustainability-oriented fashion in Green TVET? RQ3: How are competency matrix for digital fashion vocational teachers in Green TVET? Methods Identification This research uses the Systematic Literature Review (SLR) method and bibliometric analysis in VOSviewer to analyze the literature on digital skills in vocational education. This process is reflected in the following PRISMA flowchart in Figure 1 . Figure 1. PRISMA flow diagram for the systematic literature review, adapted from the PRISMA 2020 statement. The diagram below illustrates the procedures for identifying, screening, checking for eligibility, and including studies used in this systematic literature review. It also provides a summary of records retrieved from the databases, screening records, the number of articles excluded and their reasons, and the final set of included studies, following the PRISMA 2020 reporting guidelines. Figure 1 illustrates the PRISMA Flow Diagram for the Systematic Literature Review. The initial search process using the Scopus database resulted in a total of 768 relevant articles. The screening process was conducted in stages based on several criteria, including limiting the publication period to the last five years (2021-2025), limiting publication types to scientific journal articles, English-language articles, and open-access articles. A total of 224 articles were removed before the screening stage. Research trends emerging from the screening results in the Scopus database were then analyzed to identify key focuses in digital fashion skills in vocational education. Screening In the screening stage, articles retrieved from the Scopus databases, which were originally 539 articles, were selected through several stages. The results of this stage resulted in 335 articles that met the inclusion criteria, while 204 other articles were excluded because they did not match the established research criteria. Eligibility At this stage, 335 articles were included in the full screening. After full-text review, 128 articles met the criteria and were selected for inclusion in the literature review, and 207 articles were excluded. These articles will then be the main material in the literature analysis and discussion to explore the trends, challenges, and future directions of digital skills development in vocational education. Data abstraction and analysis At the Data Abstraction and Analysis stage, a thematic analysis approach was used to identify key patterns and themes from the existing literature. The results of this stage resulted in 62 articles that met the inclusion criteria, while 66 other articles were excluded because they did not match the established research criteria. Furthermore, a simple quantitative analysis was conducted to look at the frequency distribution of certain topics and trends in the last five years. This provides an overview of the shifting focus of research and its implications for vocational education policy development. Coding In the process of coding the screened 62 articles, each relevant text was identified and systematically coded to categorize key concepts. This coding process was iterative to ensure accuracy and reliability in the grouping of data, and each emerging code was consistently checked for validity. Results RQ1: The current trends, themes, and research related to digital fashion skills in the context of Green TVET based on global scientific publications According to the research made from the Scopus and Eric databases, the publication frequency in the past five years, from 2021 to 2025, has an increasing trend, as shown in Figure 2 . This kind of change reveals different forms of publication output from the years of study in question. A trend in the publication of research associated with digital fashion skills in TVET indicates an annual increase in the number of publications. Figure 2. The trend of digital fashion skills publications is shown by the number of documents (articles) published from 2021 to 2025. The figure illustrates the yearly count of published peer-reviewed journal articles from 2021 to 2025, pinpointing the rising curve and escalating academic fascination with digital fashion skills in the setting of fashion education, technology, and sustainability. The trends of publication among the five most influential Scopus-indexed sources in Digital Fashion Skills and Green TVET are shown in Figure 3 , and the trends are from the year 2021 to 2025. The visualization illustrates a lively scholarly output pattern where sources like Springer Proceedings in Business and Economics and Sustainability Switzerland have kept on releasing high amounts of publications, which is a sign of the increasing academic interest in the areas of digital technologies, sustainability, and education through vocational training. The peaks in the years 2023 and 2025 signal the integration of digital fashion tools like 3D design, virtual prototyping, and AI-driven fashion analytics, etc, into vocational teacher competency frameworks, and thus, teachers’ professional development will be one of the main areas of focus. Besides, the trends also imply that the research works are going to be about the changes in the modes of pedagogical practices towards the use of tech in schools; thus, through the Green TVET ecosystems, the development of educators who are skilled in both sustainability and digital fashion will be possible. Figure 3. Publication trends by source (2021–2025) in digital fashion skills research. The figure visualizes the spread of writings over various scholarly journals and sources, thus depicting the main channels of digital fashion skills research in the aforementioned time span. The graph in Figure 4 shows the distribution of the top ten countries that are the most significant contributors to the worldwide research on Digital Fashion Skills within the discourse of Green TVET from 2021 to 2025. The United States, China, and India rank the highest in terms of contribution and indicate the presence of strong research ecosystems in the areas of digital technology, AI integration, and sustainable innovation. The United Kingdom, Italy, Germany, and Spain are among the European countries that produce significant research outputs, which are an indication of their proactive participation in the digital transformation movement in vocational education, especially by means of virtual fashion design, Industry 4.0 tools, and sustainability-based curricula. South Korea is recognized as a major Asian innovator in the area of digital fashion simulation and virtual garment technologies, among others. The case of Indonesia is particularly interesting as it gradually shows a growing presence that portrays increased academic interest in the field of digital fashion competencies and the development of eco-friendly TVET practices. These countries together lead the world in the areas of digital fashion education, sustainability, and vocational teacher competency development. Figure 4. Top 10 contributing countries in digital fashion skills and Green TVET research (2021–2025). The figure shows the research output's geographical distribution by country, thereby indicating the main sources of digital fashion skills and Green TVET-related studies during the past five years. A bibliometric mapping derived from co-occurrence keywords produced by VOSviewer is shown in Figure 5 . It provides a visual perspective on the research terrain related to digital fashion skills in the Green TVET context. Figure 5. Bibliometric analysis of digital fashion skills keywords using VOSviewer. This figure illustrates a keyword co-occurrence network generated through bibliometric analysis using VOSviewer. Nodes represent the most frequently occurring keywords, while links represent co-occurrence relationships, thus revealing key research topics and digital clusters in the literature related to fashion skills. This bibliometric in Figure 5 reveals the presence of various significant thematic clusters including: (1) a red cluster consisting of the dimensions of mental health, digital literacy, and user behavior; (2) a green cluster consisting of the dimensions of digital transformation, education-based skills, and teacher professional development; (3) a blue cluster consisting of the dimensions of digital literacy, education, and cross-sectional studies; and (4) the yellow and purple clusters consisting of 3D design, the textile sector, fashion design, and higher education. The relationship among the clusters suggests that the development of digital skills in fashion is increasingly associated with AI, curriculum, and students’ digital literacy. In conclusion, these findings attest that research concerning digital fashion skills is evolving in a multidisciplinary way, involving technology, vocational education, and sustainable design innovation that underpins the Green TVET competence framework. RQ2: Mapping digital fashion skills, specifically in relation to sustainability-oriented fashion in Green TVET Mapping 62 studies provides a comprehensive overview of digital fashion skills, which are gradually integrating sustainability aspects into vocational education (Green TVET) as a core characteristic. These studies can be divided into three interrelated competency clusters: technical–production, sustainability–governance, and pedagogy–industry. The technical–production cluster, encompassing Digital Design, Digital Patterning, and Digital Production skills, is the most prominent, perhaps reflecting the field’s focus on 2D/3D fashion CAD, CLO3D simulation, AR/VR-based prototyping, automated digital grading, and AI-assisted garment production. 9 , 23 – 25 These skills are closely related to sustainability in Fashion 4.0, as they result in waste reduction through virtual prototyping, rapid design cycles, and a reduced need for physical samples. 2 The same applies to Digital Pattern Skills, specifically zero-waste digital pattern design and virtual fit assessment, among other skills, which have been identified as crucial capabilities that directly integrate environmental friendliness into the design and production process. 14 , 26 , 27 The sustainability and governance cluster has given rise to Digital Sustainability Skills and Digital Ethics & Data Security. These skills are increasingly recognized but remain underrepresented compared to technical skills. Studies continue to integrate zero-waste patterns, eco-friendly prototyping, sustainable material simulation, and digital carbon tracking as necessary skills for fashion model development in TVET. 28 , 29 Ethical digital practices, copyright literacy, data protection, and secure digital portfolio management are increasingly recognized as essential, given the proliferation of digital assets, AI-based design tools, and online learning platforms. 30 , 31 However, mapping shows that despite the near-universal acceptance of ethical awareness, there are still few explicit teaching methods for developing these skills in vocational teacher training. The pedagogy-industry cluster includes Digital Learning & Pedagogy, Digital Communication & Marketing, and Digital Entrepreneurship, which, together with Emerging Technologies and Societies, form the entire spectrum of innovative pedagogy. The most challenging challenge is finding skilled teachers in vocational institutions who are not only able to operate new technologies but also able to create VR-based courses, design digital assessments, and teach CLO3D. 32 , 33 At the same time, competencies in e-commerce, social media storytelling, and fashion data analytics are indicators of industry demand for graduates who are proficient in digital technologies and also able to operate in omni-channel markets and sustainability-oriented branding. 2 , 8 , 30 Digital Entrepreneurship, although the least discussed aspect, still shows the trend direction in the fashion industry regarding virtual showrooms, AI-based decision-making, and green business models as core components of future environmentally friendly TVET curricula. 7 , 34 Mapping across all areas reveals a strong but uneven integration of digitalization and sustainability. Technical expertise has been identified as one of the implicit associations that generate positive environmental impacts, for example, through virtual sampling to reduce waste. However, there are very few or no frameworks that address this link, which is reflected in the disparate competencies of teachers in the TVET sector. 6 , 21 , 35 This analysis argues that a robust competency framework for Green TVET educators must integrally combine fluency in advanced digital tools (DDS, DPS, DPrS) with sustainability-oriented digital practices (DSS) and the pedagogical capabilities necessary to create authentic, ethically grounded, and industry-relevant learning experiences (DLPS, DES, DCMS, DEntS). Thus, these results echo international recommendations that vocational teachers should be prepared to combine digital transformation and sustainable development into a future-oriented teaching practice. 36 – 38 The following is the Digital Fashion Skills Framework, synthesized from a Systematic Literature Review, presented in Table 1 . Table 1. Digital fashion skills framework from a systematic literature review. Authors and Year Domain skill Sub-skills identified (Thematic coding) Code 19 , 39 – 45 Digital Design Skills 2D/3D Fashion CAD; AR/VR Simulation; Fabric Rendering; Virtual Garment Visualization DDS1–DDS4 1 , 46 – 50 Digital Pattern Skills Digital Pattern Drafting Automated Grading; 3D Pattern Simulation Virtual Fit Assessment DPS1–DPS4 27 , 45 , 51 – 53 Digital Production Skills Smart Textile Integration 3D Fashion Printing AI-Based Garment Manufacturing Digital Workflow DPrS1–DPrS4 3 , 9 , 10 , 15 , 56 , 30 , 35 , 48 , 54 – 57 Digital Sustainability Skills Zero-Waste Pattern Making Sustainable Material Simulation; Eco-Friendly Prototyping; Digital Carbon Tracking DSS1–DSS4 6 , 13 , 23 , 33 , 58 Digital Ethics & Data Security Skills Copyright Awareness; Data Protection Compliance; Anti-Plagiarism Practice; Secure Digital Portfolio DES1–DES4 12 , 20 – 22 , 32 , 36 , 37 , 59 – 62 Digital Learning & Pedagogy Skills E-Learning Content Creation; CLO3D for Teaching; VR-Based Fashion Training; Digital Assessment Design DLPS1–DLPS4 63 – 69 Digital Communication & Marketing Skills Social Media Campaigning; E-Commerce Operations; Fashion Data Analytics; Digital Storytelling DCMS1–DCMS4 7 , 16 , 18 , 70 – 72 Digital Entrepreneurship Skills Fashion E-Business Models; Virtual Showroom Experience; AI for Fashion Business; Digital Brand Innovation DEntS1–DEntS4 The thematic analysis results derived from 62 articles indicate that the digital skills map in the sustainability tracker-oriented fashion area, under the context of Green TVET, contains a different yet closely connected competency system. Digital Design Skills was the most important domain with a percentage of 18.1%, which highlighted the importance of the role of 2D/3D CAD, AR/VR garment simulation, and virtual visualization as the technical capabilities foundation of a highly advanced digital fashion ecosystem in the digital fashion world. Digital Sustainability Skills (16.7%) and Digital Communication & Marketing Skills (16.7%) were the other two highlighted domains portraying the research trend toward zero-waste pattern making, sustainable material simulation, and digital communication literacy, and the analytics of data as the green fashion industry’s main demand. At the same time, domains like Digital Pattern Skills (12.5%) and Digital Learning & Pedagogy Skills (11.1%) brought attention to the requirement for pattern automation and the incorporation of VR, CLO3D, and digital assessment into the methodology of vocational education. Digital Production Skills (9.7%), Digital Entrepreneurship Skills (8.3%), and especially Digital Ethics & Data Security Skills (6.9%) were seen to get relatively less attention, and this has revealed that issues of AI-based manufacturing, digital entrepreneurship, and legal and data security are still not fully addressed in research. All in all, these findings validate the unevenness in research priorities while at the same time highlighting the necessity of creating a digital fashion competency framework that is wider, sustainability-driven, and more aligned with the needs of future vocational educators in the Green TVET environment. The following is a mapping of digital fashion skills in Green TVET for prospective vocational education teachers based on coding analysis using NVIVO, which is presented in Figure 6 . Figure 6. A mapping of digital fashion skills in Green TVET using NVIVO. This figure provides a visualization of the conceptual mapping of essential digital fashion skills in harmony with the Green TVET principles. The technical, digital, and sustainability-oriented competencies are combined in the framework to aid in the development of vocational fashion teacher competency frameworks. The mapping of digital fashion skills depicted in Figure 6 portrays an intricate and multidimensional competency ecosystem that perfectly synchronizes with the ongoing revolutionary changes in sustainable and technology-driven fashion education. The framework classifies “Digital Skills in Fashion” as the main competency, surrounded by eight skill clusters that are closely tied to the key domains of Green TVET and future-oriented fashion pedagogy. The Digital Design Skills, Digital Pattern Skills, and Digital Production Skills form the core technological circle of digital fashion competence, including the use of 2D/3D fashion software, CLO3D garment visualization, smart textile integration, automated pattern grading, and AI-supported production workflows. These skills act as a support to the conversion of traditional physical prototyping to totally virtualized, resource-efficient, designer-friendly, and sustainable processes. Apart from the technical skills, the Digital Sustainability Skills also incorporate with eco-responsibility principles via zero-waste digital pattern making, simulating sustainable materials, and tracking digital carbon the very critical elements for instilling environmental consciousness into the fashion workflow. In addition to technical and sustainability skills, the mapping reveals the professional domains that are crucial for vocational teachers across the board: Digital Learning & Pedagogy Skills and Digital Ethics & Data Security Skills. The demand for teachers to develop e-learning content, conduct VR-based fashion training, protect digital portfolios, and practice ethical digital habits such as copyright protection and data security has been recognized by the winning of these clusters. Besides, the mounting of Digital Communication & Marketing Skills and Digital Entrepreneurship Skills shows that digital business literacy has become the fashion industry’s need. Social media campaigning, e-commerce operations, fashion data analytics, virtual showrooms, and AI-driven innovation are some of the competencies that will prepare future designers and educators for the global digital market. This mapping, therefore, emphasizes that digital fashion skills require software proficiency and support the tech-savvy, sustainable thinking, pedagogy readiness, and entrepreneurship skills fusion that underpins a Green TVET-oriented vocational teacher competency framework’s robust development. RQ3: Competency matrix for digital fashion vocational teachers in Green TVET The combination of mapped digital fashion skills with the thematic categorization of sustainability-oriented competencies led to the establishment of a Competency Matrix that encapsulates the major capability demands for the future vocational fashion teachers in the Green TVET ecosystem. The results point out that the competencies of teachers should not only include technical digital proficiency but should also incorporate a blend of pedagogical, technological, sustainability-driven, and entrepreneurial capabilities. The competency matrix is organized along eight domains—Digital Design, Digital Patternmaking, Digital Production, Digital Sustainability, Digital Ethics & Data Security, Digital Learning & Pedagogy, Digital Communication & Marketing, and Digital Entrepreneurship, each described through the levels of mastery from Beginner to Expert. This organization corresponds to the increasing complexity of skills required for the design of immersive digital fashion learning environments, the integration of AI-based garment technologies, the execution of sustainable virtual workflows, and the assurance of ethical and secure digital practices. Among these are sustainability-oriented competencies like zero-waste digital patterning, material lifecycle simulation, and digital carbon tracking, which are classified as the leading cross-cutting domains necessary for the incorporation of Green TVET principles in teaching practice and the curriculum. The matrix indicates that the expert-level vocational teachers are supposed to perform not only with advanced digital instruments like CLO3D, VR/AR simulation, AI-based production systems, and fashion data analytics, but also to create learning experiences that nurture students’ ecological awareness, digital innovation, and future-oriented industry preparedness. The matrix of competencies gives a systematic, evidence-based framework that can direct the design of curricula, the implementation of professional development programs, and the setting of policy directions aimed at enhancing digital and green skills in fashion vocational education. The following Competency Matrix for vocational teachers in the fashion field in the context of Green TVET and Digital Fashion is presented in Table 2 . Table 2. Competency matrix for vocational teachers in the fashion field in the context of Green TVET and digital fashion. Competency domain Core competencies Specific sub-competencies Performance indicators 1. Digital Design Skills Ability to design fashion using digital technology - 2D/3D Fashion CAD - AR/VR Simulation for Design - Fabric Visualization & Rendering - Virtual Garment Presentation - Able to create 2D/3D designs on a CAD platform - Integrate AR/VR for design exploration - Display accurate texture visualizations - Present designs in an interactive digital format 2. Digital Pattern Skills Mastery of precise and efficient digital pattern making - Digital Pattern Drafting - Automated Grading - 3D Pattern Simulation - Virtual Fit Assessment - Produces production-ready digital patterns - Automatically grades according to standard sizes - Simulates patterns onto 3D avatars - Performs virtual fit analysis 3. Digital Production Skills Capacity to use digital production technology and automation - Smart Textile Integration - 3D Fashion Printing - AI-Based Manufacturing - Digital Workflow Management - Integrating smart textiles into prototypes - Operating a 3D printer for fashion - Using AI in production planning - Building an end-to-end digital workflow 4. Digital Sustainability Skills Expertise in applying sustainable production principles through digital technology - Zero-Waste Patterning - Sustainable Material Simulation - Eco-Digital Prototyping - Carbon Footprint Tracking - Digitally design zero-waste patterns - Simulate eco-friendly materials - Produce prototypes without physical waste - Measure carbon impact through software 5. Digital Ethics & Data Security Skills Digital professional ethics and data security in fashion - Copyright & IP Literacy - Data Protection Compliance - Anti-Plagiarism Practice - Secure Digital Portfolio - Comply with digital design copyright regulations - Manage student data securely - Prevent plagiarism in digital works - Develop a secure digital portfolio 6. Digital Learning & Pedagogy Skills Digital pedagogy for future fashion learning - E-Learning Content Development - CLO3D for Teaching - VR-Based Fashion Classroom - Online Assessment Design - Creating interactive digital learning content - Teaching CLO3D effectively - Managing a VR class for fashion - Designing a performance-based digital assessment 7. Digital Communication & Marketing Skills Digital communication and marketing for fashion - Social Media Campaigning - E-Commerce Operations - Fashion Data Analytics - Digital Storytelling - Managing fashion campaigns on digital platforms - Operating an online store - Using analytics for design/marketing decisions - Creating a digital narrative for branding 8. Digital Entrepreneurship Skills Digital entrepreneurship for the future fashion industry - Fashion E-Business Models - Virtual Showroom - AI for Business Decision - Digital Brand Innovation - Designing a digital fashion business model - Developing a virtual showroom - Applying AI to business forecasting - Generating technology-based brand innovations The competency matrix from Table 2 created for this research study illustrates the basic areas that the vocational fashion teachers should be skilled to work in a digitally driven and sustainability-oriented Green TVET environment. The domains include many core competencies, particular sub-skills, and performance indicators that can be measured, which are in line with the increasing use of advanced technologies in fashion education. The matrix reveals that teachers are required to be skilled not only in technical areas like digital design, patternmaking, production automation, and sustainability simulation but also in ethical data handling, digital teaching methods, communication, and entrepreneurship. The domains together point out a holistic capability profile in which teachers are anticipated to create interactive digital garments, carry out zero-waste workflows, incorporate AI-enhanced production, and maintain secure digital ecosystems, facilitate VR/AR learning experiences, and mentor students in digital branding and business innovation. Hence, this well-structured framework acts as a comprehensive entrance for upskilling vocational teachers with respect to the industry requirements and sustainability priorities that are global and environmental in the fashion sector. Discussion The findings of this study contribute to the ongoing digital transformation in Technical and Vocational Education and Training (TVET), particularly in the fashion sector. The findings confirm that trends, digitalization, and sustainability have become foundational in building future-ready vocational competencies. 2 , 73 Using a systematic review and bibliometric analysis, the authors uncovered that digital fashion technologies, including 3D simulation, AI-assisted design, and immersive VR/AR environments, are being considered by global academics as the most important enablers for making the education ecosystem more efficient, stable, and innovation-driven. However, existing studies remain fragmented and largely limited to a single aspect of technology and competency, without considering a sustainability-oriented competency framework for vocational teachers. This paper contributes to the literature by synthesizing research trends, identifying digital fashion skills, and developing a comprehensive competency matrix based on Green TVET principles. Bibliometric data analysis reveals a significant and rapid increase in the number of studies on digital fashion technologies, marked by the trend of 3D fashion software and virtual prototyping being incorporated into digital learning worldwide. 9 , 50 This development aligns with the Fourth Industrial Revolution, 69 where digital skills are a necessity in every vocational sector. Global research yields three main clusters: (1) Digital Fashion Design and Visualization, (2) Technology-Enabled Sustainable Fashion Production, and (3) Digital Pedagogy and Learning Innovation in TVET. Papers mentioned in the first cluster draw attention to CLO3D, Browzwear, and AI-enhanced CAD as software that reduces reliance on physical samples and accelerates the design process. 2 The second cluster connects the digital world with sustainability arguments, stating that zero-waste patterns, digital prototyping, and smart material simulation are techniques for reducing textile waste and energy consumption. 9 The third cluster, on the other hand, emphasizes the importance of digital pedagogy for vocational teachers who need to be trained for new learning environments, particularly those involving VR classrooms, interactive online learning, and online assessment systems. 38 These combined trends indicate that digital fashion skills are no longer viewed solely as technical abilities, but rather as a knowledge system encompassing all environmental, pedagogical, and technological aspects. This underscores the need for a more integrated competency framework, such as the one proposed in this study. The analysis revealed that digital fashion skills are closely linked to the sustainability drive characteristic of Green Higher Vocational Education (TVET) and should therefore not be considered solely as technologically literate competencies. According to the authors of a previous study, these are two key aspects of Green TVET: learners are trained in the use of modern technologies, while at the same time, the more environmentally friendly side of the industry is around them, encouraging and leading their development. 56 The domains mapped in this study, ranging from digital design and digital patterning to sustainability and digital entrepreneurship, demonstrate the ongoing integration of digitalization and environmental responsibility, a trend that has been recognized but not routinely incorporated into previous studies. Digital patterning, for example, and VR-based fitting simulations have been reported to reduce material waste by as much as 50% at the prototype stage. 74 Meanwhile, digital material simulations allow for the selection of eco-friendly textiles without the need for physical sampling. 75 Similarly, AI-powered production planning is considered an approach to data-driven sustainable manufacturing. 76 Consequently, the competency mapping output of this study not only confirms but also broadens the scope of previous conceptualizations by developing a structured, interconnected, and mode-specific skills taxonomy for Green TVET educators. The systematic review has synthesized a competency matrix which reveals the eight competencies that are interrelated mainly and must be acquired by fashion vocational teachers for the Green TVET transformation. The domains of the eight competencies are Digital Design, Digital Patternmaking, Digital Production, Digital Sustainability, Digital Ethics, Digital Pedagogy, Digital Marketing, and Digital Entrepreneurship, which together form a digital industry that is completely aligned with sustainable vocational education. The matrix structure is in tune with the recent literature, which points to the need for multi-faceted competencies among future educators, where digital literacy, ecological consciousness, and pedagogical adaptability are all crucial. 62 The matrix is made up of the eight domains, where each domain plays a significant role in the larger aim of teacher preparation, which can incorporate environmentally friendly methods in digital processing. For example, the use of Zero-Waste Patterning, Eco-Digital Prototyping, and Carbon Footprint Tracking directly corresponds to the sustainability capabilities that are part of Green TVET frameworks. 21 On the other hand, AI-Based Manufacturing, Virtual Fit Assessment, and VR-Based Fashion Classroom Management are examples of technological advancements that have already taken place in the fashion industry and are reflected in the current fashion industry research. 2 This study has significantly improved the previous competency models by establishing sustainability indicators outright within digital competencies. This approach is rare when talking about earlier digital skills taxonomies like DigCompEdu or ISTE standards, and it is this very aspect that makes the matrix the one for vocational fashion contexts only, and at the same time reflective of the reality of the industry’s shift towards green production ecosystems. Conclusions This study provides in-depth insights into the mapping of digital fashion skills within a Green TVET framework through a combination of a systematic review and bibliometric analysis. The results show that global research on digital fashion has shifted dramatically from technology to sustainability, with an increasing focus on 3D simulation, digital prototyping, VR/AR learning environments, and AI-based production systems. This study supports the expansion of technical mastery of digital fashion skills to encompass sustainability principles, ethical data practices, and digital pedagogical skills as necessary for future-oriented vocational education through mapping 62 publications. The eight-domain competency matrix framework not only provides a structural and comprehensive map but also positions vocational teachers in a core position to operationalize the processes of ecological awareness, digital innovation, and pedagogical change in the fashion education sector. In other words, this study is a step forward in current research by defining integrated competencies design, production, pedagogy, sustainability, entrepreneurship, and ethics, which are largely lacking in the existing TVET literature. Thus, this paper sets a reference point for reorienting vocational teacher training towards a digitally empowered and sustainability-aligned future. The findings of this study provide the basis for several strategic recommendations to policymakers, technical and vocational education and training (TVET) institutions, and future researchers. First and foremost, the proposed competency matrix should be integrated into the curriculum development of TVET institutions so that digital sustainability skills, namely, zero-waste patterns, eco-digital prototyping, and carbon tracking, are clearly stated in learning outcomes and learning activities. This way, digital sustainability skills will be integrated with learning outcomes and teaching methods. Second, teacher education programs require systematic professional development and support, which not only provides vocational teachers with expertise in 3D modeling software, immersive VR classrooms, AI-assisted manufacturing, and digital entrepreneurship but also ensures that these teachers stay abreast of industry standards and sustainability demands. Third, the government should accelerate the digital-green transition in TVET by providing the necessary supporting infrastructure, industry partnerships, and a regulatory framework that will not only facilitate the use of digital modeling technologies but also ensure their sustainable use. Future research should confirm the competency matrix with empirical evidence using expert judgment, pilot implementation, or mixed-method teacher readiness assessments. Furthermore, cross-country comparisons are recommended to analyze the integration of digital sustainability competencies across national TVET systems. Furthermore, researchers should consider developing digital assessment tools and microcredentialing systems to support competency-based lifelong learning for TVET teachers in the green digital era. With these directions in mind, future research can refine and expand the framework to ensure its relevance and practical applicability in changing educational and industrial contexts. Use of AI tools During the preparation of this manuscript, Grammarly was used for language editing and grammatical refinement only. The use of this tool did not influence the study design, data analysis, interpretation of results, or the scientific content of the article. The authors take full responsibility for the content of the manuscript. Data availability Underlying data “All data underlying the results are available as part of the article, and no additional source data are required.” Extended data Extended data supporting this study are available in the Figshare repository https://doi.org/10.6084/m9.figshare.31021585 . 77 The dataset includes the systematic literature review data extraction table, bibliographic records, screening outcomes, and supporting materials used during the eligibility assessment process. Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Reporting guidelines This study adheres to the PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. The completed PRISMA 2020 checklist and PRISMA flow diagram are available via Figshare. Figshare: Supporting Data for a Systematic Literature Review on Digital Fashion Skills Mapping in Green TVET. https://doi.org/10.6084/m9.figshare.31021585 77 Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Acknowledgements The authors would like to acknowledge the support provided by the Indonesian Education Endowment Fund (LPDP) and the Indonesian Education Scholarship Program (BPI LPDP). The authors also acknowledge the academic and administrative support provided by Universitas Negeri Yogyakarta throughout the research process. References 1. Chhabra J: Role of Technology in Fashion Designing Skills: An Exploratory Study in the Context of New Technology. Journal of Critical Reviews. 2023; 6 (1). Publisher Full Text 2. Lin X, Ingaramo MO: EMBRACING DIGITAL 3D TECHNOLOGY IN SUSTAINABLE FASHION DESIGN EDUCATION. INTED Proceedings. 2023; 1 : 315. Publisher Full Text 3. Bedor SA, Kamis A, Shafie S, et al. : Issues and Trends in Fashion Education Sustainability. Asian Journal of Vocational Education and Humanities. 2021; 2 (1): 9. Publisher Full Text 4. Blaga M, Avădanei M, Curteza A, et al. : Education on Sustainable Textile Technologies and Fashion in the European Market. Sciendo eBooks. Sciendo; 2023; p. 447. Publisher Full Text 5. Bothner S, Grundmeier A-M: Education for sustainable development through design thinking. AIP Conference Proceedings. 2023; 2928 : 40010. Publisher Full Text 6. Han X, Zhou Q, Li M, et al. : Handbook of Technical and Vocational Teacher Professional Development in the Digital Age. Springer briefs in education. Netherlands: Springer Nature; 2023. Publisher Full Text 7. Mustaffa M, Tawil NM, Selvaratnam DP, et al. : Empowering Digital Entrepreneurship in Technical and Vocational Education and Training (TVET) Education. Jurnal Kejuruteraan. 2024; 36 (4): 1459. Publisher Full Text 8. Hodges N, Watchravesringkan K, Min S, et al. : Teaching virtual apparel technology through industry collaboration: an assessment of pedagogical process and outcomes. International Journal of Fashion Design Technology and Education. 2020; 13 (2): 120. Publisher Full Text 9. Jaroenyingwattana N: Digital Fashion in Sustainable Clothing Design and Production. Asian Creative Architecture, Art and Design: ACAAD. 2025; 39 (1). Publisher Full Text 10. Hamid NA, Rasul MS, Kamaruzaman FM: Circular Economy and Sustainable Technology in Technical and Vocational Education and Training: A Bibliometric Analysis. International Journal of Learning, Teaching and Educational Research. 2024; 23 (9): 141. Publisher Full Text 11. Ramli S, Rasul MS, Affandi HM: Sustainable Development: Needs of Green Skills in the Fourth Industrial Revolution (4IR). International Journal of Academic Research in Business and Social Sciences. 2018; 8 (9). Publisher Full Text 12. Lahn LC, Berntsen SK: Frameworking vocational teachers’ digital competences. Nordic Journal of Comparative and International Education (NJCIE). 2023; 7 (2). Publisher Full Text 13. Roll M, Ifenthaler D: Multidisciplinary digital competencies of pre-service vocational teachers. Empirical Research in Vocational. Educ. Train. 2021; 13 (1). Publisher Full Text 14. Casciani D, Chkanikova O: Fashion craftsmanship 4.0: learning experience about Industry 4.0 technologies for hybrid digital fashion-tech products, processes, and business model design. In the Academic Press eBooks. Academic Press; 2023. Publisher Full Text 15. Glogar M, Petrak S, Naglić MM: Digital Technologies in the Sustainable Design and Development of Textiles and Clothing—A Literature Review. Sustainability. 2025; 17 (4): 1371. Publisher Full Text 16. Morea C: Upskilling Future Workers in the Fashion Sector. Fashion Highlight. 2023; 1 (1): 30. Publisher Full Text 17. Ogur EO: TVET, economy, and sustainable development. International Journal of Vocational and Technical Education. 2023; 15 (2): 12. Publisher Full Text 18. Imama DD, Ismara KI, Sudir P, et al. : Bridging the Digital Skills Gap: A Systematic Literature Review of Technology Adaptability in Vocational Education and Training. International Journal of Research and Innovation in Social Science. 2025; 2983. Publisher Full Text 19. Mesjar L, Cross K, Jiang Y, et al. : The Intersection of Fashion, Immersive Technology, and Sustainability: A Literature Review [Review of The Intersection of Fashion, Immersive Technology, and Sustainability: A Literature Review]. Sustainability. 2023; 15 (4): 3761. Multidisciplinary Digital Publishing Institute. Publisher Full Text 20. Puertas-Águilar M-Á, Otero JÁ, Torres ML d L y: The Challenge of Teacher Training in the 2030 Agenda Framework Using Geotechnologies. Educ. Sci. 2021; 11 (8): 381. Publisher Full Text 21. Diao J, Han X, Zhou Q, et al. : Professional Competencies in TVET: Framework, Indicators and Assessment Instrument. Springer briefs in education. Netherlands: Springer Nature; 2023; p. 41. Publisher Full Text 22. Nakar S, Plessis AED: Facing the Dilemma of the Out-of-Field Teaching Phenomenon in Vocational Education and Training (VET). Vocat. Learn. 2023; 16 (3): 551. Publisher Full Text 23. Gangoda A, Krasley S, Cobb K: AI digitalisation and automation of the apparel industry and human workforce skills. International Journal of Fashion Design Technology and Education. 2023; 16 (3): 319. Publisher Full Text 24. Kalbaska N, Cantoni L: Digital Fashion Competences: Market Practices and Needs. Lecture Notes in Electrical Engineering. Springer Science+Business Media; 2018; p. 125. Publisher Full Text 25. Raru A, Soloviova A, Irovan M, et al. : Sustainable Technics in the Fashion Industry- Bio Materials and Virtual Prototyping (Practic Application). Sciendo eBooks. Sciendo; 2025; p. 36. Publisher Full Text 26. Imran A: Digitalization Impact on Sustainability in the Garments Industry. SDGs and textiles. 2024; p. 275. Publisher Full Text 27. Murugesan B, Jayanthi KB, Karthikeyan G: Integrating Digital Twins and 3D Technologies in Fashion: Advancing Sustainability and Consumer Engagement. Information Systems Engineering and Management. Springer International Publishing; 2024; p. 1. Publisher Full Text 28. Harris JG, Begum L, Vecchi A: Business of Fashion, Textiles & Technology: Mapping the UK Fashion, Textiles and Technology Ecosystem. University of the Arts London Research Online (University of the Arts London); 2023. Publisher Full Text 29. Poirier S, Remsen MA: Technical and Vocational Education and Training. Advances in higher education and professional development book series. IGI Global; 2017; p. 284. Publisher Full Text 30. Jung D, Suh S: Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education. Sustainability. 2024; 16 (16): 6973. Publisher Full Text 31. Sousa G, Simões I, Maldonado P: Entrepreneurship Education for Fashion Design. Advances in Intelligent Systems and Computing. Springer Nature; 2019; p. 284. Publisher Full Text 32. Pitsikalis S, Lasica I-E, Κώστας Α, et al. : Educational Design Guidelines for Teaching with Immersive Technologies—Updating Learning Outcomes of the European Qualification Framework. Trends in Higher Education. 2024; 3 (4): 1091. Publisher Full Text 33. Rutten N, Brouwer-Truijen KJP: Defining XR-Specific Teacher Competencies: Extending the DigCompEdu Framework for Immersive Education. Trends in Higher Education. 2025; 4 (1): 11. Publisher Full Text 34. Zdravkova K: Personalized Education for Sustainable Development. Sustainability. 2023; 15 (8): 6901. Publisher Full Text 35. Sourgiadaki M, Karkalakos S: “GreenComp” as a tool for examining the motivation of vocational teachers to create learning opportunities for the green transition. SN Social Sciences. 2023; 3 (7). Publisher Full Text 36. Noguera I, Barrientos D, Sánchez MT, et al. : Exploring Pedagogical and Digital Practices in Vocational Education and Training: Comparing Teacher and Student Perspectives. Educ. Sci. 2024; 14 (7): 734. Publisher Full Text 37. Wu W, Zhong Z: Teachers’ Enactment of Digital Transformation in Technical and Vocational Education and Training in China: An Activity Theory Perspective. Journal of Education and Learning. 2025; 15 (1): 113. Publisher Full Text 38. Zhu Y, Zuo H, Chen Y: Digital Transformation in Vocational Education: Challenges, Strategies, and an Experimental Proposal. Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences. Atlantis Press; 2023; p. 643. Publisher Full Text 39. Abtew MA, Kulińska M, Zeng X, et al. : Determinations of 3D ease allowance in a virtual environment for customized garment design using fuzzy modelling. Comput. Ind. 2021; 133 : 103552. Publisher Full Text 40. Balloni E, Stacchio L, Mancini A, et al. : A Neural Rendering System for the fashion design process. Eng. Appl. Artif. Intell. 2025; 153 : 110773. Publisher Full Text 41. Fondevilla A, Rohmer D, Hahmann S, et al. : Fashion Transfer: Dressing 3D Characters from Stylized Fashion Sketches. Computer Graphics Forum. 2021; 40 (6): 466. Publisher Full Text 42. Koo DS, An JS, Yoon HJ: Classification and analysis of fabric types for shirts: A comparison between virtual and real fabrics. Journal of Engineered Fibers and Fabrics. 2024; 19 . Publisher Full Text 43. Papachristou E, Anastassiu HT: Application of 3D Virtual Prototyping Technology to the Integration of Wearable Antennas into Fashion Garments. Technologies. 2022; 10 (3): 62. Publisher Full Text 44. Sayem ASM, Ahmed F, Julhazz MR, et al. : Virtual fashion in the Metaverse. Human-Centered Metaverse. 2025; 141 . Publisher Full Text 45. Liu M, Chang S: 3D CAD Hanfu Design Based on Virtual Reality Technology. Computer-Aided Design and Applications. 2021; 19 : 1. Publisher Full Text 46. Korosteleva M, Sorkine-Hornung O: GarmentCode: Programming Parametric Sewing Patterns. ACM Trans. Graph. 2023; 42 (6): 1. Publisher Full Text 47. Ju E, Kim K, Lee J, et al. : Interactive exploration of drapes by simulation parameters. Computer Animation and Virtual Worlds. 2022; 33 . Publisher Full Text 48. Rhee H-L, Lee K: Enhancing the Sneakers Shopping Experience through Virtual Fitting Using Augmented Reality. Sustainability. 2021; 13 (11): 6336. Publisher Full Text 49. Marriott J, Bektaş T, Leung E, et al. : The billion-pound question in fashion E-commerce: Investigating the anatomy of returns. Transportation Research Part E Logistics and Transportation Review. 2024; 194 : 103904. Publisher Full Text 50. Zhang J: Research on the Application of 3D Virtual Simulation Technology in Fashion Design from the Perspective of the Meta Universe. Scientific and Social Research. 2022; 4 (12): 19. Publisher Full Text 51. Oliveira C, Carvalho DAM, Moura I, et al. : 3D Printing Using Natural Fibers – An Emerging Technology in Sustainable Manufacturing: A Review [Review of 3D Printing Using Natural Fibers – An Emerging Technology in Sustainable Manufacturing: A Review]. Communications in Computer and Information Science. 2023; 343 . Springer Science+Business Media. Publisher Full Text 52. Ramos L, Rivas F, Pérez AG, et al. : Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022 [Review of Artificial intelligence and sustainability in the fashion industry: a review from 2010 to 2022]. SN Appl. Sci. 2023; 5 (12). Springer Nature. Publisher Full Text 53. Dai J, Dai H, Wang J, et al. : Children’s Clothing Virtual Simulation Immersive Design and Show Based on Machine Learning. Mob. Inf. Syst. 2021; 2021 : 1. Publisher Full Text 54. Li H, Khattak SI, Lu X, et al. : Greening the Way Forward: A Qualitative Assessment of Green Technology Integration and Prospects in a Chinese Technical and Vocational Institute. Sustainability. 2023; 15 (6): 5187. Publisher Full Text 55. Ghosh L, Ravichandran R: Emerging Technologies in Vocational Education and Training. Journal of Digital Learning and Education. 2024; 4 (1): 41. Publisher Full Text 56. Jerald H, Tawanda C, Vijayaratnam P, et al. : Greening TVET for Sustainable Skill Development: Opportunities and Challenges in Botswana with a Focus on Quality Education. Journal of Ecohumanism. 2024; 3 (8). Publisher Full Text 57. Yilmaz HH, Metlioğlu HH: ZERO WASTE APPROACH IN SUSTAINABLE FASHION DESIGN: DESIGNER PERSPECTIVE FOR PRE-CONSUMER WASTE MANAGEMENT. Tekstil ve Mühendis. 2025; 32 (137): 79. Publisher Full Text 58. Hegarty B, Thompson M: A Teacher’s Influence on Student Engagement: Using Smartphones for Creating Vocational Assessment ePortfolios. Journal of Information Technology Education Research. 2019; 18 : 113. Publisher Full Text 59. Benedek A: Learning Units and Micro-contents in the Reinterpreted Online Teaching Space. Lecture notes in networks and systems. Springer International Publishing; 2023; p. 57. Publisher Full Text 60. Ladu L, Koch C, Ashari PA, et al. : Technology adoption and digital maturity in the conformity assessment industry: Empirical evidence from an international study. Technol. Soc. 2024; 77 : 102564. Publisher Full Text 61. Laspro M, Groysman L, Verzella A, et al. : The Use of Virtual Reality in Surgical Training: Implications for Education, Patient Safety, and Global Health Equity. Surgeries. 2023; 4 (4): 635. Publisher Full Text 62. Gey N, Pellaud F, Blandenier G, et al. : Assessment of cross-cutting competences in education for sustainable development. Environ. Educ. Res. 2022; 29 (5): 766. Publisher Full Text 63. Alshaye S: Digital storytelling for improving critical reading skills, critical thinking skills, and self-regulated learning skills. Cypriot J. Educ. Sci. 2021; 16 (4): 2049. Publisher Full Text 64. Gürsoy G: Digital Storytelling: Developing 21st Century Skills in Science Education. European J. Educ. Res. 2021; 97 . Publisher Full Text 65. Joe Waheed Sayyed B, Erum Sherieff S, Gupta R: New Technology: Impact on Green Consumerism via Social Media and AI in the Fashion Industry. 2021 International Conference on Advanced Computing and Innovative Technologies in Engineering (ICACITE). 2021; 320. Publisher Full Text 66. Nam S, Kim S: Deciphering the digital evolution: strategic insights into the Korean fashion industry through advanced analytical perspectives. Fash. Text. 2025; 12 (1). Publisher Full Text 67. Sehgal V, Ghai L, Chowdhury A: A Data Analytics-Based Study on Campaigns and Hashtag Movements Related to the Production of Fashion Goods. Smart innovation, systems and technologies. Springer Nature; 2023; p. 77. Publisher Full Text 68. Silva P, Saraiva-Romanholo BM: The Role of Sustainable Communication in Distancing a Brand From Its Fast Fashion Reputation. Advances in Marketing, Customer Relationship Management, and e-services book series. IGI Global; 2025; p. 367. Publisher Full Text 69. Tabaghdehi SAH, Arda ÖA: AI ethics in action: a circular model for transparency, accountability and inclusivity. J. Manag. Psychol. 2025. Publisher Full Text 70. Blázquez M: The Metaverse and its potential for digital sustainability in fashion. J. Glob. Fash. Market. 2024; 15 (3): 303. Publisher Full Text 71. Boulocher-Passet V, Daly P, Ruaud S: Sustainable entrepreneurship within fashion: La Gentle Factory story. Int. J. Entrep. Innov. 2024; 26 (4): 376. Publisher Full Text 72. Sinatra F: Eco-fashion Luxury Brand: An Empirical Survey on the Attitudes of Millennials and Centennials. Lecture Notes in Computer Science. Springer Science+Business Media; 2023; p. 33. Publisher Full Text 73. Bonnelame N, Stevenson N: The use of digital pedagogies for accessible and equitable teaching and learning of fashion design for sustainability: a case study.2023; 349. Publisher Full Text 74. Sachdeva P, Mitra A: Integrating Digital Innovation and Biomimicry in Fast Fashion: A Synergistic Approach for Sustainable Design and Waste Minimization.2024; 441. Publisher Full Text 75. Wang Z, Tao X, Zeng X, et al. : Design of Customized Garments Towards Sustainable Fashion Using 3D Digital Simulation and Machine Learning-Supported Human–Product Interactions. Int. J. Comput. Intell. Syst. 2023; 16 (1). Publisher Full Text 76. de Carvalho PT , Lopes JD, Raimundo R: Innovation Impact in the Textile Industry: From the Toyota Production System to Artificial Intelligence. Sustainability. 2025; 17 (3): 1170. Publisher Full Text 77. Sholikhah R, Triyono MB, Sukarno S, et al. : Supporting Data for a Systematic Literature Review on Digital Fashion Skills Mapping in Green TVET. Dataset. figshare. 2025; 2025 . Publisher Full Text Comments on this article Comments (0) Version 2 VERSION 2 PUBLISHED 05 Feb 2026 ADD YOUR COMMENT Comment Author details Author details 1 Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, Special Region of Yogyakarta, 55281, Indonesia 2 Fashion Design Education, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Central Java, 50229, Indonesia 3 English Language Education, Faculty of Languages and Arts, Universitas Negeri Yogyakarta, Yogyakarta, Special Region of Yogyakarta, 55281, Indonesia 4 Mechanical Engineering Education, Faculty of Engineering, Universitas Negeri Semarang, Semarang, Central Java, 50229, Indonesia 5 Technische Universitat Dresden, Dresden, Saxony, Germany Roudlotus Sholikhah Roles: Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Methodology, Resources, Software, Validation, Visualization, Writing – Original Draft Preparation Mochamad Bruri Triyono Roles: Investigation, Supervision Sukarno -Sukarno Roles: Investigation, Supervision Sudiyono -Sudiyono Roles: Data Curation, Methodology, Project Administration, Writing – Review & Editing Dias Aziz Pramudita Roles: Formal Analysis, Funding Acquisition, Software, Visualization, Writing – Review & Editing Hamid Nasrullah Roles: Data Curation, Funding Acquisition, Project Administration, Validation, Writing – Review & Editing Competing interests No competing interests were disclosed. Grant information This research was funded by the Indonesian Education Endowment Fund (LPDP), Ministry of Finance of the Republic of Indonesia, under Grant Number SKPB5859/LPDP/LPDP.3/2024. Article Processing Charges (APC) were supported by LPDP (Indonesian Education Endowment Fund) with Number SKPB5859/LPDP/LPDP.3/2024 and BPI (Indonesian Education Scholarship Program) with Number 01408/BPPT/BPI.06/9/2023 and 00393/BPPT/BPI.06/9/2023. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Article Versions (2) version 2 Revised Published: 22 Apr 2026, 15:196 https://doi.org/10.12688/f1000research.176893.2 version 1 Published: 05 Feb 2026, 15:196 https://doi.org/10.12688/f1000research.176893.1 Copyright © 2026 Sholikhah R et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Sholikhah R, Triyono MB, -Sukarno S et al. Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.12688/f1000research.176893.1 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 1 VERSION 1 PUBLISHED 05 Feb 2026 Views 0 Cite How to cite this report: Wiana W. Reviewer Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.195015.r456338 ) The direct URL for this report is: https://f1000research.com/articles/15-196/v1#referee-response-456338 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 05 Mar 2026 Winwin Wiana , Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.195015.r456338 Introduction In the Introduction section, the author attempts to present the phenomenon of Green TVET as an integral part of digital skills in vocational and fashion education. However, there is one concept that seems to have low relevance between ... Continue reading READ ALL Introduction In the Introduction section, the author attempts to present the phenomenon of Green TVET as an integral part of digital skills in vocational and fashion education. However, there is one concept that seems to have low relevance between the mastery of digital skills in the field of fashion and Green TVET's emphasis on environmentally friendly skills. Is there a significant relevance between digital technology learning activities in fashion (such as CLO3D or other digital tools) and their impact on environmentally friendly skills? Please explain and provide some empirical examples. In conclusion, the author states that “..........strengthening policy measures targeting the development of digital and green skills in vocational education and training (TVET). This condition is not elaborated well in the discussion section, so the above statement needs to be discussed in more detail. Are the rationale for, and objectives of, the Systematic Review clearly stated? Yes Are sufficient details of the methods and analysis provided to allow replication by others? Yes Is the statistical analysis and its interpretation appropriate? Yes Are the conclusions drawn adequately supported by the results presented in the review? Partly If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.) Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: fashion design I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Wiana W. Reviewer Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.195015.r456338 ) The direct URL for this report is: https://f1000research.com/articles/15-196/v1#referee-response-456338 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 22 Apr 2026 Roudlotus Sholikhah , Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, 55281, Indonesia 22 Apr 2026 Author Response We sincerely thank the reviewer for the constructive and insightful comments, which have helped improve the conceptual clarity and policy relevance of the manuscript. The manuscript has been revised accordingly ... Continue reading We sincerely thank the reviewer for the constructive and insightful comments, which have helped improve the conceptual clarity and policy relevance of the manuscript. The manuscript has been revised accordingly as outlined below. 1. Relevance between Digital Fashion Skills and Green TVET Thank you for highlighting the need to clarify the relationship between digital fashion technologies and Green TVET. In response, we have strengthened the Introduction section by providing a clearer theoretical explanation of how digital fashion technologies—such as 3D garment simulation, virtual prototyping, and digital patternmaking—can contribute to sustainability-oriented competencies in vocational education. The revised text now explains that digitally mediated design processes can reduce reliance on physical sampling, improve material efficiency, and support environmentally responsible production practices in fashion development. In addition, several relevant studies have been incorporated to provide empirical examples supporting the linkage between digital fashion technologies and sustainability practices. 2. Elaboration of Policy Measures for Digital and Green Skills in TVET We appreciate the reviewer’s suggestion to further elaborate on the policy implications mentioned in the Conclusion. To address this comment, an additional paragraph has been added to the Discussion section to clarify how the findings of this study relate to policy development in TVET systems. The revised discussion now outlines potential policy measures, including strengthening digital infrastructure in vocational institutions, enhancing teacher professional development in digital fashion technologies, and integrating sustainability-oriented competencies into TVET curricula. These revisions ensure that the statement in the Conclusion is now supported by a clearer and more detailed discussion. We are grateful for the reviewer’s valuable feedback, which has significantly strengthened the conceptual coherence and practical implications of this study. We sincerely thank the reviewer for the constructive and insightful comments, which have helped improve the conceptual clarity and policy relevance of the manuscript. The manuscript has been revised accordingly as outlined below. 1. Relevance between Digital Fashion Skills and Green TVET Thank you for highlighting the need to clarify the relationship between digital fashion technologies and Green TVET. In response, we have strengthened the Introduction section by providing a clearer theoretical explanation of how digital fashion technologies—such as 3D garment simulation, virtual prototyping, and digital patternmaking—can contribute to sustainability-oriented competencies in vocational education. The revised text now explains that digitally mediated design processes can reduce reliance on physical sampling, improve material efficiency, and support environmentally responsible production practices in fashion development. In addition, several relevant studies have been incorporated to provide empirical examples supporting the linkage between digital fashion technologies and sustainability practices. 2. Elaboration of Policy Measures for Digital and Green Skills in TVET We appreciate the reviewer’s suggestion to further elaborate on the policy implications mentioned in the Conclusion. To address this comment, an additional paragraph has been added to the Discussion section to clarify how the findings of this study relate to policy development in TVET systems. The revised discussion now outlines potential policy measures, including strengthening digital infrastructure in vocational institutions, enhancing teacher professional development in digital fashion technologies, and integrating sustainability-oriented competencies into TVET curricula. These revisions ensure that the statement in the Conclusion is now supported by a clearer and more detailed discussion. We are grateful for the reviewer’s valuable feedback, which has significantly strengthened the conceptual coherence and practical implications of this study. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 22 Apr 2026 Roudlotus Sholikhah , Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, 55281, Indonesia 22 Apr 2026 Author Response We sincerely thank the reviewer for the constructive and insightful comments, which have helped improve the conceptual clarity and policy relevance of the manuscript. The manuscript has been revised accordingly ... Continue reading We sincerely thank the reviewer for the constructive and insightful comments, which have helped improve the conceptual clarity and policy relevance of the manuscript. The manuscript has been revised accordingly as outlined below. 1. Relevance between Digital Fashion Skills and Green TVET Thank you for highlighting the need to clarify the relationship between digital fashion technologies and Green TVET. In response, we have strengthened the Introduction section by providing a clearer theoretical explanation of how digital fashion technologies—such as 3D garment simulation, virtual prototyping, and digital patternmaking—can contribute to sustainability-oriented competencies in vocational education. The revised text now explains that digitally mediated design processes can reduce reliance on physical sampling, improve material efficiency, and support environmentally responsible production practices in fashion development. In addition, several relevant studies have been incorporated to provide empirical examples supporting the linkage between digital fashion technologies and sustainability practices. 2. Elaboration of Policy Measures for Digital and Green Skills in TVET We appreciate the reviewer’s suggestion to further elaborate on the policy implications mentioned in the Conclusion. To address this comment, an additional paragraph has been added to the Discussion section to clarify how the findings of this study relate to policy development in TVET systems. The revised discussion now outlines potential policy measures, including strengthening digital infrastructure in vocational institutions, enhancing teacher professional development in digital fashion technologies, and integrating sustainability-oriented competencies into TVET curricula. These revisions ensure that the statement in the Conclusion is now supported by a clearer and more detailed discussion. We are grateful for the reviewer’s valuable feedback, which has significantly strengthened the conceptual coherence and practical implications of this study. We sincerely thank the reviewer for the constructive and insightful comments, which have helped improve the conceptual clarity and policy relevance of the manuscript. The manuscript has been revised accordingly as outlined below. 1. Relevance between Digital Fashion Skills and Green TVET Thank you for highlighting the need to clarify the relationship between digital fashion technologies and Green TVET. In response, we have strengthened the Introduction section by providing a clearer theoretical explanation of how digital fashion technologies—such as 3D garment simulation, virtual prototyping, and digital patternmaking—can contribute to sustainability-oriented competencies in vocational education. The revised text now explains that digitally mediated design processes can reduce reliance on physical sampling, improve material efficiency, and support environmentally responsible production practices in fashion development. In addition, several relevant studies have been incorporated to provide empirical examples supporting the linkage between digital fashion technologies and sustainability practices. 2. Elaboration of Policy Measures for Digital and Green Skills in TVET We appreciate the reviewer’s suggestion to further elaborate on the policy implications mentioned in the Conclusion. To address this comment, an additional paragraph has been added to the Discussion section to clarify how the findings of this study relate to policy development in TVET systems. The revised discussion now outlines potential policy measures, including strengthening digital infrastructure in vocational institutions, enhancing teacher professional development in digital fashion technologies, and integrating sustainability-oriented competencies into TVET curricula. These revisions ensure that the statement in the Conclusion is now supported by a clearer and more detailed discussion. We are grateful for the reviewer’s valuable feedback, which has significantly strengthened the conceptual coherence and practical implications of this study. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Indarti I. Reviewer Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.195015.r456337 ) The direct URL for this report is: https://f1000research.com/articles/15-196/v1#referee-response-456337 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 27 Feb 2026 Indarti Indarti , Universitas Negeri Surabaya, Surabaya, East Java, Indonesia Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.195015.r456337 The topic is timely and relevant, particularly given the rapid integration of digital technologies (e.g., 3D design, AI, VR/AR) in fashion education and the growing emphasis on sustainability in vocational systems. The attempt to synthesize literature trends and translate them ... Continue reading READ ALL The topic is timely and relevant, particularly given the rapid integration of digital technologies (e.g., 3D design, AI, VR/AR) in fashion education and the growing emphasis on sustainability in vocational systems. The attempt to synthesize literature trends and translate them into a structured competency framework is commendable and potentially impactful. However, several methodological and reporting issues require substantial clarification before the manuscript can be considered robust and reproducible. Clarity and Consistency of Data Sources. The manuscript references Scopus as the primary database for the 62 selected studies, but other sections mention ERIC in relation to trend analysis. Search Strategy Transparency and Reproducibility. For a systematic review aligned with PRISMA 2020 standards, the complete search strategy must be reported, preferably in a table or appendix. PRISMA Flow and Screening Logic. Providing explicit exclusion reasons (e.g., irrelevance, conceptual mismatch, non-empirical design) would significantly strengthen methodological rigor. Open-Access Restriction and Potential Bias. Discuss its implications in the limitations section. Validation of the Proposed Competency Framework. The eight-domain framework and competency matrix are derived from literature synthesis, but no external validation (e.g., expert consultation, Delphi method, stakeholder review) has been conducted. At minimum, the framework should be clearly positioned as a proposed conceptual model pending empirical validation. Strength of Quantitative Claims. Some claims regarding sustainability impact (e.g., waste reduction percentages through VR-based prototyping) should be carefully contextualized and directly supported by clearly cited empirical evidence. Terminology should be standardized (e.g., “Digital Pattern,” “Digital Patterning,” “Digital Patternmaking”). Are the rationale for, and objectives of, the Systematic Review clearly stated? Partly Are sufficient details of the methods and analysis provided to allow replication by others? Yes Is the statistical analysis and its interpretation appropriate? Yes Are the conclusions drawn adequately supported by the results presented in the review? Yes If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.) Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: fashion design; creative industry I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Indarti I. Reviewer Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.195015.r456337 ) The direct URL for this report is: https://f1000research.com/articles/15-196/v1#referee-response-456337 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Author Response 22 Apr 2026 Roudlotus Sholikhah , Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, 55281, Indonesia 22 Apr 2026 Author Response We sincerely thank the reviewers for their constructive and insightful feedback. The manuscript has been carefully revised to address all comments. The revisions have strengthened the methodological clarity, conceptual position, ... Continue reading We sincerely thank the reviewers for their constructive and insightful feedback. The manuscript has been carefully revised to address all comments. The revisions have strengthened the methodological clarity, conceptual position, and internal consistency of the studies. Detailed responses are provided below. 1. Clarity and Consistency of Data Sources We have clarified in the Methods section (Data Sources and Selection Procedures) that Scopus was the sole database used for the final selection of 62 studies. Ambiguous references to ERIC have been removed to ensure full consistency and transparency in the data collection process. 2. Transparency of Search Strategy (PRISMA 2020 Compliance) The complete search strategy has now been added to Table 1, Search Strategy, including Boolean operators, search strings, keywords, date ranges, language restrictions, and inclusion/exclusion criteria. The screening steps have also been clarified in the Methods section to enhance transparency and reproducibility in accordance with PRISMA 2020 standards. 3. PRISMA Flowchart and Exclusion Logic The PRISMA 2020 flowchart (Figure 1) has been revised to include explicit exclusion reasons (e.g., irrelevance, conceptual-only studies, duplicates, non-English language publications). The screening logic and numerical consistency between the diagram and textual descriptions have been clarified in the Methods section. 4. Open Access Restrictions and Potential Bias A specific discussion has been included in the “Limitations and Implications for Future Research” section, which addresses potential publication and indexing bias arising from open access restrictions and reliance on a single database, along with their implications for representativeness and generalizability. 5. Validation of the Proposed Competency Framework The eight-domain competency framework has been explicitly repositioned as a conceptual model derived from a systematic literature synthesis in the Discussion (Framework Integration) section. We now clearly state that no external validation (e.g., Delphi method, expert consultation, field testing) was conducted within the scope of this study and that empirical validation is needed in future research. 6. Strength of Quantitative Claims All quantitative statements related to sustainability impacts have been carefully reviewed and revised in the Discussion (Sustainability Implications) section. Overly general numerical claims have been contextualized or reframed to reflect context-dependent findings to avoid overstatement. 7. Standardization of Terminology Terminology has been standardized throughout the manuscript. The term “Digital Patternmaking” is now used consistently throughout the text, tables, figures, and competency matrix to avoid conceptual ambiguity. We sincerely thank the reviewers for their constructive and insightful feedback. The manuscript has been carefully revised to address all comments. The revisions have strengthened the methodological clarity, conceptual position, and internal consistency of the studies. Detailed responses are provided below. 1. Clarity and Consistency of Data Sources We have clarified in the Methods section (Data Sources and Selection Procedures) that Scopus was the sole database used for the final selection of 62 studies. Ambiguous references to ERIC have been removed to ensure full consistency and transparency in the data collection process. 2. Transparency of Search Strategy (PRISMA 2020 Compliance) The complete search strategy has now been added to Table 1, Search Strategy, including Boolean operators, search strings, keywords, date ranges, language restrictions, and inclusion/exclusion criteria. The screening steps have also been clarified in the Methods section to enhance transparency and reproducibility in accordance with PRISMA 2020 standards. 3. PRISMA Flowchart and Exclusion Logic The PRISMA 2020 flowchart (Figure 1) has been revised to include explicit exclusion reasons (e.g., irrelevance, conceptual-only studies, duplicates, non-English language publications). The screening logic and numerical consistency between the diagram and textual descriptions have been clarified in the Methods section. 4. Open Access Restrictions and Potential Bias A specific discussion has been included in the “Limitations and Implications for Future Research” section, which addresses potential publication and indexing bias arising from open access restrictions and reliance on a single database, along with their implications for representativeness and generalizability. 5. Validation of the Proposed Competency Framework The eight-domain competency framework has been explicitly repositioned as a conceptual model derived from a systematic literature synthesis in the Discussion (Framework Integration) section. We now clearly state that no external validation (e.g., Delphi method, expert consultation, field testing) was conducted within the scope of this study and that empirical validation is needed in future research. 6. Strength of Quantitative Claims All quantitative statements related to sustainability impacts have been carefully reviewed and revised in the Discussion (Sustainability Implications) section. Overly general numerical claims have been contextualized or reframed to reflect context-dependent findings to avoid overstatement. 7. Standardization of Terminology Terminology has been standardized throughout the manuscript. The term “Digital Patternmaking” is now used consistently throughout the text, tables, figures, and competency matrix to avoid conceptual ambiguity. Competing Interests: No competing interests were disclosed. Close Report a concern Respond or Comment COMMENTS ON THIS REPORT Author Response 22 Apr 2026 Roudlotus Sholikhah , Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, 55281, Indonesia 22 Apr 2026 Author Response We sincerely thank the reviewers for their constructive and insightful feedback. The manuscript has been carefully revised to address all comments. The revisions have strengthened the methodological clarity, conceptual position, ... Continue reading We sincerely thank the reviewers for their constructive and insightful feedback. The manuscript has been carefully revised to address all comments. The revisions have strengthened the methodological clarity, conceptual position, and internal consistency of the studies. Detailed responses are provided below. 1. Clarity and Consistency of Data Sources We have clarified in the Methods section (Data Sources and Selection Procedures) that Scopus was the sole database used for the final selection of 62 studies. Ambiguous references to ERIC have been removed to ensure full consistency and transparency in the data collection process. 2. Transparency of Search Strategy (PRISMA 2020 Compliance) The complete search strategy has now been added to Table 1, Search Strategy, including Boolean operators, search strings, keywords, date ranges, language restrictions, and inclusion/exclusion criteria. The screening steps have also been clarified in the Methods section to enhance transparency and reproducibility in accordance with PRISMA 2020 standards. 3. PRISMA Flowchart and Exclusion Logic The PRISMA 2020 flowchart (Figure 1) has been revised to include explicit exclusion reasons (e.g., irrelevance, conceptual-only studies, duplicates, non-English language publications). The screening logic and numerical consistency between the diagram and textual descriptions have been clarified in the Methods section. 4. Open Access Restrictions and Potential Bias A specific discussion has been included in the “Limitations and Implications for Future Research” section, which addresses potential publication and indexing bias arising from open access restrictions and reliance on a single database, along with their implications for representativeness and generalizability. 5. Validation of the Proposed Competency Framework The eight-domain competency framework has been explicitly repositioned as a conceptual model derived from a systematic literature synthesis in the Discussion (Framework Integration) section. We now clearly state that no external validation (e.g., Delphi method, expert consultation, field testing) was conducted within the scope of this study and that empirical validation is needed in future research. 6. Strength of Quantitative Claims All quantitative statements related to sustainability impacts have been carefully reviewed and revised in the Discussion (Sustainability Implications) section. Overly general numerical claims have been contextualized or reframed to reflect context-dependent findings to avoid overstatement. 7. Standardization of Terminology Terminology has been standardized throughout the manuscript. The term “Digital Patternmaking” is now used consistently throughout the text, tables, figures, and competency matrix to avoid conceptual ambiguity. We sincerely thank the reviewers for their constructive and insightful feedback. The manuscript has been carefully revised to address all comments. The revisions have strengthened the methodological clarity, conceptual position, and internal consistency of the studies. Detailed responses are provided below. 1. Clarity and Consistency of Data Sources We have clarified in the Methods section (Data Sources and Selection Procedures) that Scopus was the sole database used for the final selection of 62 studies. Ambiguous references to ERIC have been removed to ensure full consistency and transparency in the data collection process. 2. Transparency of Search Strategy (PRISMA 2020 Compliance) The complete search strategy has now been added to Table 1, Search Strategy, including Boolean operators, search strings, keywords, date ranges, language restrictions, and inclusion/exclusion criteria. The screening steps have also been clarified in the Methods section to enhance transparency and reproducibility in accordance with PRISMA 2020 standards. 3. PRISMA Flowchart and Exclusion Logic The PRISMA 2020 flowchart (Figure 1) has been revised to include explicit exclusion reasons (e.g., irrelevance, conceptual-only studies, duplicates, non-English language publications). The screening logic and numerical consistency between the diagram and textual descriptions have been clarified in the Methods section. 4. Open Access Restrictions and Potential Bias A specific discussion has been included in the “Limitations and Implications for Future Research” section, which addresses potential publication and indexing bias arising from open access restrictions and reliance on a single database, along with their implications for representativeness and generalizability. 5. Validation of the Proposed Competency Framework The eight-domain competency framework has been explicitly repositioned as a conceptual model derived from a systematic literature synthesis in the Discussion (Framework Integration) section. We now clearly state that no external validation (e.g., Delphi method, expert consultation, field testing) was conducted within the scope of this study and that empirical validation is needed in future research. 6. Strength of Quantitative Claims All quantitative statements related to sustainability impacts have been carefully reviewed and revised in the Discussion (Sustainability Implications) section. Overly general numerical claims have been contextualized or reframed to reflect context-dependent findings to avoid overstatement. 7. Standardization of Terminology Terminology has been standardized throughout the manuscript. The term “Digital Patternmaking” is now used consistently throughout the text, tables, figures, and competency matrix to avoid conceptual ambiguity. Competing Interests: No competing interests were disclosed. Close Report a concern COMMENT ON THIS REPORT Comments on this article Comments (0) Version 2 VERSION 2 PUBLISHED 05 Feb 2026 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 Version 2 (revision) 22 Apr 26 read read Version 1 05 Feb 26 read read Indarti Indarti , Universitas Negeri Surabaya, Surabaya, Indonesia Winwin Wiana , Universitas Pendidikan Indonesia, Bandung, Indonesia Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Wiana W. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 05 May 2026 | for Version 2 Winwin Wiana , Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia 0 Views copyright © 2026 Wiana W. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions After reviewing the revised manuscript, I find that the discussion is sufficiently comprehensive and aligned with the issues addressed. I recommend that the manuscript be accepted for indexing. Competing Interests No competing interests were disclosed. Reviewer Expertise fashion design I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Wiana W. Peer Review Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.197555.r477620) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/15-196/v2#referee-response-477620 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Indarti I. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 27 Apr 2026 | for Version 2 Indarti Indarti , Universitas Negeri Surabaya, Surabaya, East Java, Indonesia 0 Views copyright © 2026 Indarti I. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions I agree that this article should be indexed and i approve of this manuscript. Competing Interests No competing interests were disclosed. I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Indarti I. Peer Review Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.197555.r477619) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/15-196/v2#referee-response-477619 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Wiana W. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 05 Mar 2026 | for Version 1 Winwin Wiana , Universitas Pendidikan Indonesia, Bandung, West Java, Indonesia 0 Views copyright © 2026 Wiana W. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Introduction In the Introduction section, the author attempts to present the phenomenon of Green TVET as an integral part of digital skills in vocational and fashion education. However, there is one concept that seems to have low relevance between the mastery of digital skills in the field of fashion and Green TVET's emphasis on environmentally friendly skills. Is there a significant relevance between digital technology learning activities in fashion (such as CLO3D or other digital tools) and their impact on environmentally friendly skills? Please explain and provide some empirical examples. In conclusion, the author states that “..........strengthening policy measures targeting the development of digital and green skills in vocational education and training (TVET). This condition is not elaborated well in the discussion section, so the above statement needs to be discussed in more detail. Are the rationale for, and objectives of, the Systematic Review clearly stated? Yes Are sufficient details of the methods and analysis provided to allow replication by others? Yes Is the statistical analysis and its interpretation appropriate? Yes Are the conclusions drawn adequately supported by the results presented in the review? Partly If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.) Yes Competing Interests No competing interests were disclosed. Reviewer Expertise fashion design I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 22 Apr 2026 Roudlotus Sholikhah, Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, 55281, Indonesia We sincerely thank the reviewer for the constructive and insightful comments, which have helped improve the conceptual clarity and policy relevance of the manuscript. The manuscript has been revised accordingly as outlined below. 1. Relevance between Digital Fashion Skills and Green TVET Thank you for highlighting the need to clarify the relationship between digital fashion technologies and Green TVET. In response, we have strengthened the Introduction section by providing a clearer theoretical explanation of how digital fashion technologies—such as 3D garment simulation, virtual prototyping, and digital patternmaking—can contribute to sustainability-oriented competencies in vocational education. The revised text now explains that digitally mediated design processes can reduce reliance on physical sampling, improve material efficiency, and support environmentally responsible production practices in fashion development. In addition, several relevant studies have been incorporated to provide empirical examples supporting the linkage between digital fashion technologies and sustainability practices. 2. Elaboration of Policy Measures for Digital and Green Skills in TVET We appreciate the reviewer’s suggestion to further elaborate on the policy implications mentioned in the Conclusion. To address this comment, an additional paragraph has been added to the Discussion section to clarify how the findings of this study relate to policy development in TVET systems. The revised discussion now outlines potential policy measures, including strengthening digital infrastructure in vocational institutions, enhancing teacher professional development in digital fashion technologies, and integrating sustainability-oriented competencies into TVET curricula. These revisions ensure that the statement in the Conclusion is now supported by a clearer and more detailed discussion. We are grateful for the reviewer’s valuable feedback, which has significantly strengthened the conceptual coherence and practical implications of this study. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Wiana W. Peer Review Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.195015.r456338) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/15-196/v1#referee-response-456338 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2026 Indarti I. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 27 Feb 2026 | for Version 1 Indarti Indarti , Universitas Negeri Surabaya, Surabaya, East Java, Indonesia 0 Views copyright © 2026 Indarti I. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (1) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The topic is timely and relevant, particularly given the rapid integration of digital technologies (e.g., 3D design, AI, VR/AR) in fashion education and the growing emphasis on sustainability in vocational systems. The attempt to synthesize literature trends and translate them into a structured competency framework is commendable and potentially impactful. However, several methodological and reporting issues require substantial clarification before the manuscript can be considered robust and reproducible. Clarity and Consistency of Data Sources. The manuscript references Scopus as the primary database for the 62 selected studies, but other sections mention ERIC in relation to trend analysis. Search Strategy Transparency and Reproducibility. For a systematic review aligned with PRISMA 2020 standards, the complete search strategy must be reported, preferably in a table or appendix. PRISMA Flow and Screening Logic. Providing explicit exclusion reasons (e.g., irrelevance, conceptual mismatch, non-empirical design) would significantly strengthen methodological rigor. Open-Access Restriction and Potential Bias. Discuss its implications in the limitations section. Validation of the Proposed Competency Framework. The eight-domain framework and competency matrix are derived from literature synthesis, but no external validation (e.g., expert consultation, Delphi method, stakeholder review) has been conducted. At minimum, the framework should be clearly positioned as a proposed conceptual model pending empirical validation. Strength of Quantitative Claims. Some claims regarding sustainability impact (e.g., waste reduction percentages through VR-based prototyping) should be carefully contextualized and directly supported by clearly cited empirical evidence. Terminology should be standardized (e.g., “Digital Pattern,” “Digital Patterning,” “Digital Patternmaking”). Are the rationale for, and objectives of, the Systematic Review clearly stated? Partly Are sufficient details of the methods and analysis provided to allow replication by others? Yes Is the statistical analysis and its interpretation appropriate? Yes Are the conclusions drawn adequately supported by the results presented in the review? Yes If this is a Living Systematic Review, is the ‘living’ method appropriate and is the search schedule clearly defined and justified? (‘Living Systematic Review’ or a variation of this term should be included in the title.) Yes Competing Interests No competing interests were disclosed. Reviewer Expertise fashion design; creative industry I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (1) Author Response 22 Apr 2026 Roudlotus Sholikhah, Technology and Vocational Education, Graduate School, Universitas Negeri Yogyakarta, Yogyakarta, 55281, Indonesia We sincerely thank the reviewers for their constructive and insightful feedback. The manuscript has been carefully revised to address all comments. The revisions have strengthened the methodological clarity, conceptual position, and internal consistency of the studies. Detailed responses are provided below. 1. Clarity and Consistency of Data Sources We have clarified in the Methods section (Data Sources and Selection Procedures) that Scopus was the sole database used for the final selection of 62 studies. Ambiguous references to ERIC have been removed to ensure full consistency and transparency in the data collection process. 2. Transparency of Search Strategy (PRISMA 2020 Compliance) The complete search strategy has now been added to Table 1, Search Strategy, including Boolean operators, search strings, keywords, date ranges, language restrictions, and inclusion/exclusion criteria. The screening steps have also been clarified in the Methods section to enhance transparency and reproducibility in accordance with PRISMA 2020 standards. 3. PRISMA Flowchart and Exclusion Logic The PRISMA 2020 flowchart (Figure 1) has been revised to include explicit exclusion reasons (e.g., irrelevance, conceptual-only studies, duplicates, non-English language publications). The screening logic and numerical consistency between the diagram and textual descriptions have been clarified in the Methods section. 4. Open Access Restrictions and Potential Bias A specific discussion has been included in the “Limitations and Implications for Future Research” section, which addresses potential publication and indexing bias arising from open access restrictions and reliance on a single database, along with their implications for representativeness and generalizability. 5. Validation of the Proposed Competency Framework The eight-domain competency framework has been explicitly repositioned as a conceptual model derived from a systematic literature synthesis in the Discussion (Framework Integration) section. We now clearly state that no external validation (e.g., Delphi method, expert consultation, field testing) was conducted within the scope of this study and that empirical validation is needed in future research. 6. Strength of Quantitative Claims All quantitative statements related to sustainability impacts have been carefully reviewed and revised in the Discussion (Sustainability Implications) section. Overly general numerical claims have been contextualized or reframed to reflect context-dependent findings to avoid overstatement. 7. Standardization of Terminology Terminology has been standardized throughout the manuscript. The term “Digital Patternmaking” is now used consistently throughout the text, tables, figures, and competency matrix to avoid conceptual ambiguity. View more View less Competing Interests No competing interests were disclosed. reply Respond Report a concern Indarti I. Peer Review Report For: Mapping Digital Fashion Skills in Green TVET: Foundations for Future Vocational Teacher Competency Framework through Systematic Review and Bibliometric Analysis [version 1; peer review: 2 approved with reservations] . F1000Research 2026, 15 :196 ( https://doi.org/10.5256/f1000research.195015.r456337) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/15-196/v1#referee-response-456337 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. 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