Mapping a Decade of Research on Metacognition, Self-Regulated Learning, and Academic Writing Instruction: A Bibliometric Analysis (2015–2025)

Mapping a Decade of Research on Metacognition, Self-Regulated Learning, and Academic Writing Instruction: A Bibliometric Analysis (2015–2025) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Systematic Review Mapping a Decade of Research on Metacognition, Self-Regulated Learning, and Academic Writing Instruction: A Bibliometric Analysis (2015–2025) Tofan Stofiana, Dadang Sunendar, Yeti Mulyati, Andoyo Sastromiharjo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6580391/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study presents a bibliometric analysis of global research trends on metacognition, self-regulated learning (SRL), and academic writing instruction from 2015 to 2025. Drawing on 125 peer-reviewed articles indexed in Scopus, the analysis explores thematic patterns, co-authorship networks, and keyword co-occurrence using VOSviewer. Results indicate a growing scholarly interest in integrating metacognitive regulation and SRL strategies to enhance academic writing performance, with recurring themes such as writing self-efficacy, feedback, and reflective practice. However, research explicitly bridging these constructs with emerging technologies, such as AI-supported scaffolding, remains limited. This article maps the current knowledge structure and highlights research gaps, offering insights into future directions for writing pedagogy in higher education. The findings also provide conceptual support for instructional innovations like the TULIS model, which aims to integrate metacognitive strategies and adaptive feedback systems to improve students’ argumentative writing competencies. Linguistics Educational Philosophy and Theory Artificial Intelligence and Machine Learning Metacognition Self-Regulated Learning Academic Writing Bibliometric Analysis Writing Instruction Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 1. Introduction Academic writing serves as a cornerstone of scholarly engagement and intellectual development in higher education. Through writing, students not only demonstrate their understanding but also construct, negotiate, and communicate knowledge. Among various genres, argumentative writing is particularly demanding, requiring students to organize claims, support them with evidence, and anticipate counterarguments. Yet, across diverse educational contexts, the quality of students’ academic writing often remains below expectations, particularly in developing sustained, critical, and evidence-based arguments (Stapleton & Wu, 2015; Wingate, 2012 ). To address these challenges, scholars have increasingly turned to metacognitive regulation and self-regulated learning (SRL) as powerful frameworks for writing instruction. Metacognition, defined as the awareness and control of one's own cognitive processes, plays a crucial role in enabling students to plan, monitor, and revise their writing (Flavell, 1979 ; Schraw & Dennison, 1994 ). Coupled with SRL, it empowers learners to set goals, seek feedback, and evaluate their progress in a recursive writing process (Zimmerman, 2002 ). Recent studies have shown that integrating metacognitive strategies into writing instruction can significantly enhance students' writing performance and self-efficacy (Harris & Graham, 2009 ; Negretti & McGrath, 2018 ). Over the past decade, research into metacognitive strategies and SRL in writing instruction has expanded, driven by advances in educational psychology, learning sciences, and pedagogical theory. However, the body of literature remains fragmented, with studies differing in theoretical focus, instructional application, and methodological approach. Moreover, despite the emergence of AI-assisted writing tools and automated feedback systems, few studies have systematically examined how such technologies interact with metacognitive writing instruction. For instance, while AI tools like automated essay scoring systems and grammar checkers are increasingly used in educational settings, their impact on students' metacognitive development and self-regulation strategies remains underexplored (Marzuki et al., 2023; Yang et al., 2025 ). In light of these developments, this study conducts a bibliometric analysis of global publications between 2015 and 2025 that intersect metacognition, SRL, and academic writing instruction. Using data from the Scopus database, we aim to: Map the growth and distribution of relevant research, Identify key themes, contributors, and scholarly networks, and Uncover gaps in the literature that may inform future pedagogical innovations. 2. Method This study employed a bibliometric analysis to explore the intellectual structure and research evolution at the intersection of metacognition, self-regulated learning (SRL), and academic writing instruction between 2015 and 2025. Bibliometric approaches are well established in the literature for their capacity to systematically map scientific knowledge, uncover thematic trends, and identify research gaps across interdisciplinary domains (Aria & Cuccurullo, 2017 ; Donthu et al., 2021 ). Through this method, the study aimed to provide a macro-level overview of how pedagogical discourses in writing, particularly those emphasizing metacognitive strategy and self-regulation, have evolved over the past decade. The bibliographic dataset was retrieved from Scopus, a leading indexing platform known for its comprehensive coverage of peer-reviewed academic publications in the fields of education, psychology, and the social sciences. Scopus was selected due to its robust metadata architecture and its widespread application in science mapping studies (Falagas et al., 2008 ; Gusenbauer, 2019 ). The search strategy employed a Boolean query designed to capture studies situated at the confluence of metacognitive processes, self-regulation, and academic writing. The query combined terms such as “metacognition,” “metacognitive regulation,” and “self-regulated learning” with “academic writing,” “argumentative writing,” “scientific writing,” “essay writing,” and “writing instruction.” The search was refined to include only English-language journal articles published between 2015 and 2025, within subject areas relevant to Social Sciences, Arts and Humanities, Psychology, and Computer Science. From an initial yield of 154 records, document type filtering removed non-article entries, resulting in 130 articles. Further screening for thematic relevance and language criteria led to the exclusion of five additional studies, two for being non-English and one for falling outside the scope of writing pedagogy, culminating in a final dataset of 125 articles (see Table 1 for details). This selection process adhered to the PRISMA 2020 guidelines and is visualized in Fig. 1 (Page et al., 2021 ). Table 1 PRISMA 2020 Summary of Literature Selection Process Stage Description Number of Records Identification Records identified through Scopus search 154 Records removed Non-article documents removed 24 Screening Articles screened for relevance 130 Records excluded Not relevant to topic or subject area 2 Reports assessed Full-text reports reviewed for eligibility 128 Reports excluded Not in English (n = 2), outside writing pedagogy (n = 1) 3 Final included studies Total articles included for bibliometric analysis 125 Inclusion criteria were defined to encompass empirical, theoretical, or review articles that explicitly addressed metacognitive or SRL strategies within academic writing instruction, particularly in higher education contexts. Studies not directly related to writing pedagogy, such as those focusing on laboratory reports or clinical education, were excluded, along with duplicate entries. For the bibliometric analysis, the dataset was exported from Scopus in CSV and BibTeX formats and processed using VOSviewer (van Eck & Waltman, 2010 ). This tool enabled the visualization of bibliometric networks, including keyword co-occurrence, co-authorship relationships, and citation linkages. The visual maps generated by VOSviewer facilitated the identification of conceptual clusters and intellectual structures, offering insight into the dominant and emerging themes that shape the field of metacognitive writing instruction. In the keyword co-occurrence analysis using VOSviewer, a minimum threshold of three occurrences per keyword was applied to focus on terms that demonstrated consistent presence across the literature. This parameter was chosen to balance inclusivity and conceptual clarity, allowing for meaningful clustering without visual overcrowding. The association strength normalization method was used to construct the co-occurrence network, ensuring that the proximity between nodes accurately reflected their relative strength of association. This approach enabled the identification of dominant thematic structures and conceptual linkages across the corpus. 3. Results 3.1. Publication Trends and Growth Over Time A temporal analysis of publication output from 2015 to 2025 reveals a significant surge in scholarly attention to the intersection of metacognition, self-regulated learning, and academic writing instruction. As shown in Fig. 2 , research in this domain remained limited and sporadic from 2015 to 2022, with fewer than five publications per year. However, beginning in 2023, there was a substantial increase in output, reaching a peak in 2024 with over 30 publications, followed by a slight decrease in 2025. This spike may reflect growing academic and institutional interest in the integration of metacognitive frameworks and digital writing pedagogies, particularly following the COVID-19 pandemic and the broader shift toward technology-mediated instruction. The figure shows a sharp rise in publication volume starting in 2023, peaking in 2024, based on Scopus-indexed journal articles (n = 125). In terms of disciplinary distribution, the majority of publications originated from the Social Sciences (46.4%), followed by Computer Science (18.4%), Arts and Humanities (14.4%), and Psychology (7.2%). Other contributions came from multidisciplinary journals and applied fields such as education, management, and health professions. This distribution reflects the interdisciplinary nature of the research domain and confirms that the integration of metacognition, SRL, and academic writing is predominantly situated within educational and behavioral sciences. A visual representation of the subject area breakdown is provided in Fig. 2 . This pie chart illustrates the subject areas of the 125 documents analyzed in this study. The Social Sciences dominate the corpus, followed by Computer Science and Arts and Humanities. 3.2 Keyword Co-occurrence and Thematic Clusters (Extended with Visual) A co-occurrence analysis of author keywords using VOSviewer revealed several dominant clusters, representing key thematic areas in the literature. The most frequently occurring keywords included “metacognition”, “self-regulated learning”, “academic writing”, “writing instruction”, “feedback”, “writing strategies”, and “higher education”. These terms were distributed across three major clusters: Cluster 1 (Red – Metacognitive Development and Strategy): This cluster centers on terms such as metacognition, metacognitive strategy, and experience. Cluster 2 (Green – SRL and Academic Success): Includes terms like self-regulation, self-efficacy, motivation, and academic success. Cluster 3 (Blue – Pedagogical Practice and Integration): Contains terms like content, practice, knowledge, and integration. The clustering patterns demonstrate a healthy balance between theoretical development (e.g., cognitive/metacognitive strategy), pedagogical implementation, and psychological correlates (e.g., self-efficacy, motivation). However, the relatively low occurrence of AI-related terms confirms the limited intersection between metacognitive writing instruction and AI-supported scaffolding in the current literature. This network visualization was generated using VOSviewer. Colors indicate thematic clusters based on keyword co-occurrence patterns, with node size reflecting frequency of occurrence. 3.3. Thematic Evolution and Emerging Trends To gain insight into the temporal dynamics of research topics in the field, an overlay visualization was generated using VOSviewer. Figure 3 presents a chronological mapping of keyword co-occurrence based on average publication year. The color gradient from purple (earlier years) to yellow (recent years) indicates how topics have evolved between 2015 and 2025. The results show that foundational terms such as academic success, self-efficacy, interview, and writing process are positioned toward the cooler end of the spectrum (2015–2022), reflecting their early prominence in the field. In contrast, keywords such as metacognition, metacognitive strategy, technology, and integration appear in yellow, indicating increased scholarly attention in more recent years (2023–2025). Interestingly, the temporal distribution suggests that although metacognitive strategy and SRL have been discussed conceptually for a decade, their convergence with writing instruction, particularly in the context of technology and integration, is a relatively emerging trend. This evolution reveals an ongoing shift from theory-building toward the implementation of pedagogical innovation, with increasing exploration of AI-assisted writing environments, personalized learning tools, and strategic feedback mechanisms. Despite the increased attention to concepts such as metacognition, self-regulated learning, and integration in recent years, the overlay map confirms a noticeable absence of keywords explicitly referencing artificial intelligence, automated feedback, or machine learning. This indicates that while technological mediation in academic writing is an emerging trend, its theoretical and pedagogical connections to metacognitive and SRL frameworks remain underexplored. Future research may benefit from more integrated approaches that connect writing development, cognitive regulation, and intelligent support systems in a cohesive framework. A temporal overlay of keyword co-occurrence is presented in Fig. 3 , visualizing the shifting emphasis of research themes over the last decade. This map illustrates the temporal evolution of research themes. Nodes in yellow represent newer topics that gained attention more recently, while nodes in purple indicate earlier themes. Visualization generated using VOSviewer. 3.4. Density Mapping of Research Themes To complement the cluster and temporal visualizations, a density map was generated to identify areas of high thematic concentration within the bibliographic network. Figure 4 presents a density visualization of the most prominent keywords, where warmer colors (yellow) represent higher frequencies and stronger co-occurrence intensities, while cooler colors (blue) indicate lower frequencies and less central relevance in the network. The densest regions are centered on keywords such as self-learning, SRL, metacognition, practice, and writing process, suggesting their foundational roles in the literature. Notably, metacognitive strategy, experience, and motivation also appear as key focus areas, indicating strong scholarly interest in both cognitive and motivational aspects of writing development. In contrast, keywords such as integration, technology, and information appear on the periphery of the density map. Although present, these terms are less central, supporting the earlier observation that while digital tools are emerging in this research space, their integration with metacognitive frameworks remains underrepresented in the literature. This visualization reinforces the idea that research in the past decade has focused heavily on psychological and instructional dimensions of academic writing, with growing, yet still underdeveloped, explorations into the technological mediation of writing processes. The density distribution of keywords across the corpus is presented in Fig. 4 , offering insight into areas of concentrated research interest. The color intensity represents the frequency and centrality of keywords within the co-occurrence network. Yellow nodes indicate high density and high frequency of use. 4. Discussion This bibliometric analysis offers a comprehensive view of the evolution of research at the intersection of metacognition, self-regulated learning (SRL), and academic writing instruction between 2015 and 2025. The substantial increase in publication output—particularly after 2023, demonstrates a rising scholarly recognition of cognitive and metacognitive dimensions in writing pedagogy. This surge may also reflect the broader pedagogical shifts accelerated by the COVID-19 pandemic, which forced institutions worldwide to transition into remote, hybrid, and digitally mediated instruction. Consequently, the urgency to develop writing autonomy, digital self-regulation, and metacognitive strategy use became more pronounced in both research and practice. This aligns with global educational shifts toward promoting learner autonomy, reflective strategies, and deeper writing competence, especially in post-pandemic digital learning environments. 4.1. Theoretical Convergence with Pedagogical Practice The clustering analysis revealed a strong theoretical focus on metacognitive awareness, self-efficacy, and motivation. These elements are consistently associated with improved writing performance, particularly in higher education contexts. Studies such as(Teng & Huang, 2018 ) and(Anggraeni et al., 2025 ) have empirically shown that integrating SRL strategies into writing instruction improves learners’ ability to organize ideas, monitor progress, and revise effectively. Moreover,(Shen & Bai, 2022 ) affirm that writing self-efficacy and perceptions of feedback are pivotal in shaping students’ metacognitive engagement with academic tasks. This confirms that the intersection between metacognition and writing instruction is no longer a purely theoretical conversation, it has matured into a field that emphasizes practice-based and student-centered interventions. Yet, this growing body of work still reveals inconsistencies in instructional models and methodological approaches, as noted in the review by Falardeau et al. ( 2024 ), especially in EFL and ESL contexts. 4.2. Technology and the Missing Link Despite the increased attention toward digital literacy and AI in education, the visual analyses (keyword clustering, overlay, and density mapping) indicate that AI-related terms such as “artificial intelligence,” “machine learning,” or “automated feedback” remain peripheral in this research domain. This suggests a significant disconnect between pedagogical innovation and technological advancement. While terms like technology and integration appear in recent publications (2023–2025), they have yet to coalesce with the core concepts of metacognitive regulation in writing. This is notable given the broader rise in research on AI-supported learning environments. As(Nuryadin et al., 2024 ) emphasize, there is an urgent need for interdisciplinary research that bridges education, computer science, and cognitive psychology to develop robust models for AI-assisted instruction that are both theoretically sound and pedagogically useful. 4.3. Cognitive Support and Scaffolding in Writing Scaffolding has long been identified as a key mediator in helping learners transition from guided to independent writing. The lack of focus on scaffolding in relation to metacognitive strategy use is an underutilized area in the literature. Negretti & McGrath ( 2018 ) found that effective scaffolding fosters genre awareness and supports learners’ development of metacognitive strategies in writing. This reinforces the need to study how guided instructional support, whether through human tutors or intelligent systems, facilitates metacognitive regulation during complex writing tasks. 4.4. Fragmentation and the Need for Integration While the dataset reveals significant advances in understanding how metacognition and SRL contribute to writing development, the literature remains fragmented across disciplines, research foci, and technologies. As noted by (Falardeau et al., 2024 ), many studies operate in isolated paradigms, with few attempts to develop holistic, cross-domain pedagogical models. This gap may hinder the creation of scalable, adaptable, and empirically grounded frameworks for writing instruction that are responsive to both cognitive and technological demands. 5. Conclusion This bibliometric study provides a decade-long panoramic view of the scholarly landscape at the intersection of metacognition, self-regulated learning (SRL), and academic writing instruction. By analyzing 125 Scopus-indexed journal articles published between 2015 and 2025, this research reveals key thematic clusters, temporal evolutions, and intellectual gaps that shape the discourse in this field. The results show that while the core concepts of metacognition and SRL are increasingly embedded in academic writing pedagogy, the field remains dominated by psychological and pedagogical perspectives. Concepts such as motivation, self-efficacy, reflection, and feedback emerge as central to the development of writing competence. Furthermore, the marked growth in publication volume since 2023 reflects a heightened academic awareness of these frameworks’ importance in promoting effective, reflective, and independent writing practices. However, the study also identifies critical gaps, most notably, the limited integration of technological advancements, particularly artificial intelligence and adaptive learning tools, into metacognitive writing instruction. While terms such as technology and integration appear with increasing frequency, they remain peripheral and are rarely linked with core SRL or metacognitive constructs. This suggests an untapped potential for research that bridges digital innovation with cognitive and instructional design. Additionally, the fragmentation of the literature across domains and methodologies underscores the need for more cohesive, interdisciplinary approaches. Future research would benefit from design-based studies, longitudinal interventions, and cross-field collaboration that align theoretical models with practical writing pedagogy in both physical and digital learning environments. In conclusion, the convergence of metacognition, SRL, and academic writing instruction presents a promising yet underexploited area of research. A more integrated, cross-disciplinary, and technologically-informed agenda is essential to advance both the theory and practice of writing instruction in higher education. Although this study provides a comprehensive bibliometric overview of research on metacognition, self-regulated learning (SRL), and academic writing instruction, several limitations must be acknowledged. First, the analysis was restricted to publications indexed in the Scopus database. While Scopus is widely recognized for its extensive and high-quality coverage, it does not capture all relevant literature, particularly in non-English or regional journals that may also contribute valuable perspectives. Second, the search strategy, though designed to be inclusive, may have inadvertently excluded relevant studies that used alternative terminologies or did not explicitly mention the target constructs in titles, abstracts, or keywords. For instance, terms such as “thinking strategies,” “writing autonomy,” or “reflective learning” may overlap conceptually with metacognition and SRL but were not captured in the query. Third, this study relied on quantitative co-occurrence analysis and did not include qualitative content analysis of the full texts. As a result, some nuanced theoretical arguments and pedagogical frameworks may not be fully represented in the visual mappings and keyword clusters. Finally, while bibliometric tools such as VOSviewer offer valuable visualizations, their interpretive value is bounded by algorithmic limitations and user-defined thresholds (e.g., keyword frequency), which may oversimplify complex conceptual relationships. To build upon the findings of this study, several promising avenues for future research are proposed: Conceptual Integration with Technology: Future studies should explore how digital tools, particularly AI-assisted writing platforms, intelligent feedback systems, and adaptive learning environments, can be meaningfully integrated with metacognitive and SRL frameworks in writing instruction. Longitudinal and Experimental Designs: There is a need for more empirical studies that examine how metacognitive regulation and SRL evolve over time in writing contexts, particularly through intervention-based research or mixed-methods approaches. Scaffolding and Instructional Design: Research should further investigate how instructional scaffolding, both human and automated, can support students’ metacognitive development and self-monitoring skills during complex writing tasks. Cross-Linguistic and Cross-Cultural Perspectives: Expanding research beyond English-dominant contexts will enrich understanding of how metacognitive writing strategies function across different cultural and linguistic environments. Interdisciplinary Collaborations: There is significant value in promoting collaboration across education, psychology, computer science, and applied linguistics to co-develop models, tools, and pedagogies that reflect the multifaceted nature of academic writing development. 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Sastromiharjo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAsUlEQVRIiWNgGAWjYHACAyC2YWBgBlI8JGhJI13LYQiTKC38s5s3PuapOJ+4nZ2B8cHbNiK0SNw5VmzMc+Z24s5mBmbDucRoYbiRYybN23Y7ccNhBjYggwgd8hAt50Ba2H8TpcUAouUA2BZmorQY3kgrNpxzJtl4ZzNjs+Scc0RokbuRvPHBmwo72e38hw9+eFNGhBYQYAJFhwEDYwOR6oGA8QcDJEJHwSgYBaNgFGAFAAWcNMDtH8ykAAAAAElFTkSuQmCC","orcid":"","institution":"Universitas Pendidikan Indonesia","correspondingAuthor":true,"prefix":"","firstName":"Andoyo","middleName":"","lastName":"Sastromiharjo","suffix":""}],"badges":[],"createdAt":"2025-05-02 18:37:45","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6580391/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6580391/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":81975513,"identity":"50ae7a9c-6ffb-4d67-b95f-3c8979ae26b9","added_by":"auto","created_at":"2025-05-05 13:34:40","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":43489,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003ePRISMA 2020 Flow Diagram of the Study Selection Process\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-6580391/v1/21ae1a3adaf7a3403be3f6bf.png"},{"id":81976268,"identity":"398244a8-904c-4d1f-aef3-8c7ce19a835b","added_by":"auto","created_at":"2025-05-05 13:42:40","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":36775,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFigure 1 Annual Scientific Production on Metacognition, SRL, and Academic Writing Instruction (2015–2025)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-6580391/v1/b0153ef2bd1c4003a7c14a06.png"},{"id":81975514,"identity":"92e40f13-7f82-4f83-b948-3bd119bfab72","added_by":"auto","created_at":"2025-05-05 13:34:40","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":82866,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFigure 2 Distribution of Documents by Subject Area (Scopus, 2015–2025)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-6580391/v1/07b340f2fd1bca2b906d4e9b.png"},{"id":81976269,"identity":"6865ece9-4663-42d8-821d-caab7f7ca454","added_by":"auto","created_at":"2025-05-05 13:42:41","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":359698,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFigure 2 Keyword Co-occurrence Map of Terms Related to Metacognition, SRL, and Academic Writing Instruction (2015–2025)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-6580391/v1/fe682eb379e3e404d587c8ea.png"},{"id":81975525,"identity":"6dd662b5-d3a3-42e0-b996-4b845177db4a","added_by":"auto","created_at":"2025-05-05 13:34:41","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":332702,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFigure 3 Overlay Visualization of Keyword Co-occurrence by Average Publication Year (2015–2025)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-6580391/v1/d92a5bafc1c16d0ce0d286fd.png"},{"id":81975518,"identity":"da88a6ec-afdc-4f5f-9b78-785b33f240e5","added_by":"auto","created_at":"2025-05-05 13:34:41","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":352900,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFigure 4 Density Visualization of Keyword Co-occurrence in Metacognition, SRL, and Academic Writing Research (2015–2025)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-6580391/v1/ee4eb45a5f4168e25f809f24.png"},{"id":81976366,"identity":"a3aa3cad-b13b-4183-b930-25a8d44bbb8d","added_by":"auto","created_at":"2025-05-05 13:50:41","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1831006,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6580391/v1/5d20cc2c-ef9f-43aa-958d-600ebb9872ce.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eMapping a Decade of Research on Metacognition, Self-Regulated Learning, and Academic Writing Instruction: A Bibliometric Analysis (2015–2025)\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eAcademic writing serves as a cornerstone of scholarly engagement and intellectual development in higher education. Through writing, students not only demonstrate their understanding but also construct, negotiate, and communicate knowledge. Among various genres, argumentative writing is particularly demanding, requiring students to organize claims, support them with evidence, and anticipate counterarguments. Yet, across diverse educational contexts, the quality of students\u0026rsquo; academic writing often remains below expectations, particularly in developing sustained, critical, and evidence-based arguments (Stapleton \u0026amp; Wu, 2015; Wingate, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2012\u003c/span\u003e). To address these challenges, scholars have increasingly turned to metacognitive regulation and self-regulated learning (SRL) as powerful frameworks for writing instruction. Metacognition, defined as the awareness and control of one's own cognitive processes, plays a crucial role in enabling students to plan, monitor, and revise their writing (Flavell, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e1979\u003c/span\u003e; Schraw \u0026amp; Dennison, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e1994\u003c/span\u003e). Coupled with SRL, it empowers learners to set goals, seek feedback, and evaluate their progress in a recursive writing process (Zimmerman, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2002\u003c/span\u003e). Recent studies have shown that integrating metacognitive strategies into writing instruction can significantly enhance students' writing performance and self-efficacy (Harris \u0026amp; Graham, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Negretti \u0026amp; McGrath, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). Over the past decade, research into metacognitive strategies and SRL in writing instruction has expanded, driven by advances in educational psychology, learning sciences, and pedagogical theory. However, the body of literature remains fragmented, with studies differing in theoretical focus, instructional application, and methodological approach. Moreover, despite the emergence of AI-assisted writing tools and automated feedback systems, few studies have systematically examined how such technologies interact with metacognitive writing instruction. For instance, while AI tools like automated essay scoring systems and grammar checkers are increasingly used in educational settings, their impact on students' metacognitive development and self-regulation strategies remains underexplored (Marzuki et al., 2023; Yang et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). In light of these developments, this study conducts a bibliometric analysis of global publications between 2015 and 2025 that intersect metacognition, SRL, and academic writing instruction. Using data from the Scopus database, we aim to:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eMap the growth and distribution of relevant research,\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eIdentify key themes, contributors, and scholarly networks, and\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eUncover gaps in the literature that may inform future pedagogical innovations.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e"},{"header":"2. Method","content":"\u003cp\u003eThis study employed a bibliometric analysis to explore the intellectual structure and research evolution at the intersection of metacognition, self-regulated learning (SRL), and academic writing instruction between 2015 and 2025. Bibliometric approaches are well established in the literature for their capacity to systematically map scientific knowledge, uncover thematic trends, and identify research gaps across interdisciplinary domains (Aria \u0026amp; Cuccurullo, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Donthu et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Through this method, the study aimed to provide a macro-level overview of how pedagogical discourses in writing, particularly those emphasizing metacognitive strategy and self-regulation, have evolved over the past decade. The bibliographic dataset was retrieved from Scopus, a leading indexing platform known for its comprehensive coverage of peer-reviewed academic publications in the fields of education, psychology, and the social sciences. Scopus was selected due to its robust metadata architecture and its widespread application in science mapping studies (Falagas et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Gusenbauer, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). The search strategy employed a Boolean query designed to capture studies situated at the confluence of metacognitive processes, self-regulation, and academic writing. The query combined terms such as \u0026ldquo;metacognition,\u0026rdquo; \u0026ldquo;metacognitive regulation,\u0026rdquo; and \u0026ldquo;self-regulated learning\u0026rdquo; with \u0026ldquo;academic writing,\u0026rdquo; \u0026ldquo;argumentative writing,\u0026rdquo; \u0026ldquo;scientific writing,\u0026rdquo; \u0026ldquo;essay writing,\u0026rdquo; and \u0026ldquo;writing instruction.\u0026rdquo; The search was refined to include only English-language journal articles published between 2015 and 2025, within subject areas relevant to Social Sciences, Arts and Humanities, Psychology, and Computer Science. From an initial yield of 154 records, document type filtering removed non-article entries, resulting in 130 articles. Further screening for thematic relevance and language criteria led to the exclusion of five additional studies, two for being non-English and one for falling outside the scope of writing pedagogy, culminating in a final dataset of 125 articles (see Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e for details). This selection process adhered to the PRISMA 2020 guidelines and is visualized in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e1\u003c/span\u003e (Page et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePRISMA 2020 Summary of Literature Selection Process\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStage\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDescription\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNumber of Records\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIdentification\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eRecords identified through Scopus search\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e154\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRecords removed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNon-article documents removed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eScreening\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eArticles screened for relevance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e130\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRecords excluded\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot relevant to topic or subject area\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReports assessed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eFull-text reports reviewed for eligibility\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e128\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReports excluded\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNot in English (n\u0026thinsp;=\u0026thinsp;2), outside writing pedagogy (n\u0026thinsp;=\u0026thinsp;1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFinal included studies\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTotal articles included for bibliometric analysis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e125\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eInclusion criteria were defined to encompass empirical, theoretical, or review articles that explicitly addressed metacognitive or SRL strategies within academic writing instruction, particularly in higher education contexts. Studies not directly related to writing pedagogy, such as those focusing on laboratory reports or clinical education, were excluded, along with duplicate entries. For the bibliometric analysis, the dataset was exported from Scopus in CSV and BibTeX formats and processed using VOSviewer (van Eck \u0026amp; Waltman, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). This tool enabled the visualization of bibliometric networks, including keyword co-occurrence, co-authorship relationships, and citation linkages. The visual maps generated by VOSviewer facilitated the identification of conceptual clusters and intellectual structures, offering insight into the dominant and emerging themes that shape the field of metacognitive writing instruction. In the keyword co-occurrence analysis using VOSviewer, a minimum threshold of three occurrences per keyword was applied to focus on terms that demonstrated consistent presence across the literature. This parameter was chosen to balance inclusivity and conceptual clarity, allowing for meaningful clustering without visual overcrowding. The association strength normalization method was used to construct the co-occurrence network, ensuring that the proximity between nodes accurately reflected their relative strength of association. This approach enabled the identification of dominant thematic structures and conceptual linkages across the corpus.\u003c/p\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e3.1. Publication Trends and Growth Over Time\u003c/h2\u003e \u003cp\u003eA temporal analysis of publication output from 2015 to 2025 reveals a significant surge in scholarly attention to the intersection of metacognition, self-regulated learning, and academic writing instruction. As shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e2\u003c/span\u003e, research in this domain remained limited and sporadic from 2015 to 2022, with fewer than five publications per year. However, beginning in 2023, there was a substantial increase in output, reaching a peak in 2024 with over 30 publications, followed by a slight decrease in 2025. This spike may reflect growing academic and institutional interest in the integration of metacognitive frameworks and digital writing pedagogies, particularly following the COVID-19 pandemic and the broader shift toward technology-mediated instruction.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe figure shows a sharp rise in publication volume starting in 2023, peaking in 2024, based on Scopus-indexed journal articles (n\u0026thinsp;=\u0026thinsp;125). In terms of disciplinary distribution, the majority of publications originated from the Social Sciences (46.4%), followed by Computer Science (18.4%), Arts and Humanities (14.4%), and Psychology (7.2%). Other contributions came from multidisciplinary journals and applied fields such as education, management, and health professions. This distribution reflects the interdisciplinary nature of the research domain and confirms that the integration of metacognition, SRL, and academic writing is predominantly situated within educational and behavioral sciences. A visual representation of the subject area breakdown is provided in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e2\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThis pie chart illustrates the subject areas of the 125 documents analyzed in this study. The Social Sciences dominate the corpus, followed by Computer Science and Arts and Humanities.\u003c/p\u003e \u003ch2\u003e3.2 Keyword Co-occurrence and Thematic Clusters (Extended with Visual)\u003c/h2\u003e \u003cp\u003eA co-occurrence analysis of author keywords using VOSviewer revealed several dominant clusters, representing key thematic areas in the literature. The most frequently occurring keywords included \u0026ldquo;metacognition\u0026rdquo;, \u0026ldquo;self-regulated learning\u0026rdquo;, \u0026ldquo;academic writing\u0026rdquo;, \u0026ldquo;writing instruction\u0026rdquo;, \u0026ldquo;feedback\u0026rdquo;, \u0026ldquo;writing strategies\u0026rdquo;, and \u0026ldquo;higher education\u0026rdquo;. These terms were distributed across three major clusters:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eCluster 1 (Red \u0026ndash; Metacognitive Development and Strategy): This cluster centers on terms such as metacognition, metacognitive strategy, and experience.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCluster 2 (Green \u0026ndash; SRL and Academic Success): Includes terms like self-regulation, self-efficacy, motivation, and academic success.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCluster 3 (Blue \u0026ndash; Pedagogical Practice and Integration): Contains terms like content, practice, knowledge, and integration.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThe clustering patterns demonstrate a healthy balance between theoretical development (e.g., cognitive/metacognitive strategy), pedagogical implementation, and psychological correlates (e.g., self-efficacy, motivation). However, the relatively low occurrence of AI-related terms confirms the limited intersection between metacognitive writing instruction and AI-supported scaffolding in the current literature.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThis network visualization was generated using VOSviewer. Colors indicate thematic clusters based on keyword co-occurrence patterns, with node size reflecting frequency of occurrence.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e3.3. Thematic Evolution and Emerging Trends\u003c/h2\u003e \u003cp\u003eTo gain insight into the temporal dynamics of research topics in the field, an overlay visualization was generated using VOSviewer. Figure\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003e presents a chronological mapping of keyword co-occurrence based on average publication year. The color gradient from purple (earlier years) to yellow (recent years) indicates how topics have evolved between 2015 and 2025. The results show that foundational terms such as academic success, self-efficacy, interview, and writing process are positioned toward the cooler end of the spectrum (2015\u0026ndash;2022), reflecting their early prominence in the field. In contrast, keywords such as metacognition, metacognitive strategy, technology, and integration appear in yellow, indicating increased scholarly attention in more recent years (2023\u0026ndash;2025). Interestingly, the temporal distribution suggests that although metacognitive strategy and SRL have been discussed conceptually for a decade, their convergence with writing instruction, particularly in the context of technology and integration, is a relatively emerging trend. This evolution reveals an ongoing shift from theory-building toward the implementation of pedagogical innovation, with increasing exploration of AI-assisted writing environments, personalized learning tools, and strategic feedback mechanisms. Despite the increased attention to concepts such as metacognition, self-regulated learning, and integration in recent years, the overlay map confirms a noticeable absence of keywords explicitly referencing artificial intelligence, automated feedback, or machine learning. This indicates that while technological mediation in academic writing is an emerging trend, its theoretical and pedagogical connections to metacognitive and SRL frameworks remain underexplored. Future research may benefit from more integrated approaches that connect writing development, cognitive regulation, and intelligent support systems in a cohesive framework. A temporal overlay of keyword co-occurrence is presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003e, visualizing the shifting emphasis of research themes over the last decade.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThis map illustrates the temporal evolution of research themes. Nodes in yellow represent newer topics that gained attention more recently, while nodes in purple indicate earlier themes. Visualization generated using VOSviewer.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e3.4. Density Mapping of Research Themes\u003c/h2\u003e \u003cp\u003eTo complement the cluster and temporal visualizations, a density map was generated to identify areas of high thematic concentration within the bibliographic network. Figure\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e4\u003c/span\u003e presents a density visualization of the most prominent keywords, where warmer colors (yellow) represent higher frequencies and stronger co-occurrence intensities, while cooler colors (blue) indicate lower frequencies and less central relevance in the network. The densest regions are centered on keywords such as self-learning, SRL, metacognition, practice, and writing process, suggesting their foundational roles in the literature. Notably, metacognitive strategy, experience, and motivation also appear as key focus areas, indicating strong scholarly interest in both cognitive and motivational aspects of writing development. In contrast, keywords such as integration, technology, and information appear on the periphery of the density map. Although present, these terms are less central, supporting the earlier observation that while digital tools are emerging in this research space, their integration with metacognitive frameworks remains underrepresented in the literature. This visualization reinforces the idea that research in the past decade has focused heavily on psychological and instructional dimensions of academic writing, with growing, yet still underdeveloped, explorations into the technological mediation of writing processes. The density distribution of keywords across the corpus is presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e4\u003c/span\u003e, offering insight into areas of concentrated research interest.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe color intensity represents the frequency and centrality of keywords within the co-occurrence network. Yellow nodes indicate high density and high frequency of use.\u003c/p\u003e \u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThis bibliometric analysis offers a comprehensive view of the evolution of research at the intersection of metacognition, self-regulated learning (SRL), and academic writing instruction between 2015 and 2025. The substantial increase in publication output\u0026mdash;particularly after 2023, demonstrates a rising scholarly recognition of cognitive and metacognitive dimensions in writing pedagogy. This surge may also reflect the broader pedagogical shifts accelerated by the COVID-19 pandemic, which forced institutions worldwide to transition into remote, hybrid, and digitally mediated instruction. Consequently, the urgency to develop writing autonomy, digital self-regulation, and metacognitive strategy use became more pronounced in both research and practice. This aligns with global educational shifts toward promoting learner autonomy, reflective strategies, and deeper writing competence, especially in post-pandemic digital learning environments.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e4.1. Theoretical Convergence with Pedagogical Practice\u003c/h2\u003e \u003cp\u003eThe clustering analysis revealed a strong theoretical focus on metacognitive awareness, self-efficacy, and motivation. These elements are consistently associated with improved writing performance, particularly in higher education contexts. Studies such as(Teng \u0026amp; Huang, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) and(Anggraeni et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2025\u003c/span\u003e) have empirically shown that integrating SRL strategies into writing instruction improves learners\u0026rsquo; ability to organize ideas, monitor progress, and revise effectively. Moreover,(Shen \u0026amp; Bai, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) affirm that writing self-efficacy and perceptions of feedback are pivotal in shaping students\u0026rsquo; metacognitive engagement with academic tasks. This confirms that the intersection between metacognition and writing instruction is no longer a purely theoretical conversation, it has matured into a field that emphasizes practice-based and student-centered interventions. Yet, this growing body of work still reveals inconsistencies in instructional models and methodological approaches, as noted in the review by Falardeau et al. (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), especially in EFL and ESL contexts.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e4.2. Technology and the Missing Link\u003c/h2\u003e \u003cp\u003eDespite the increased attention toward digital literacy and AI in education, the visual analyses (keyword clustering, overlay, and density mapping) indicate that AI-related terms such as \u0026ldquo;artificial intelligence,\u0026rdquo; \u0026ldquo;machine learning,\u0026rdquo; or \u0026ldquo;automated feedback\u0026rdquo; remain peripheral in this research domain. This suggests a significant disconnect between pedagogical innovation and technological advancement. While terms like technology and integration appear in recent publications (2023\u0026ndash;2025), they have yet to coalesce with the core concepts of metacognitive regulation in writing. This is notable given the broader rise in research on AI-supported learning environments. As(Nuryadin et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) emphasize, there is an urgent need for interdisciplinary research that bridges education, computer science, and cognitive psychology to develop robust models for AI-assisted instruction that are both theoretically sound and pedagogically useful.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e4.3. Cognitive Support and Scaffolding in Writing\u003c/h2\u003e \u003cp\u003eScaffolding has long been identified as a key mediator in helping learners transition from guided to independent writing. The lack of focus on scaffolding in relation to metacognitive strategy use is an underutilized area in the literature. Negretti \u0026amp; McGrath (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) found that effective scaffolding fosters genre awareness and supports learners\u0026rsquo; development of metacognitive strategies in writing. This reinforces the need to study how guided instructional support, whether through human tutors or intelligent systems, facilitates metacognitive regulation during complex writing tasks.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e4.4. Fragmentation and the Need for Integration\u003c/h2\u003e \u003cp\u003eWhile the dataset reveals significant advances in understanding how metacognition and SRL contribute to writing development, the literature remains fragmented across disciplines, research foci, and technologies. As noted by (Falardeau et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), many studies operate in isolated paradigms, with few attempts to develop holistic, cross-domain pedagogical models. This gap may hinder the creation of scalable, adaptable, and empirically grounded frameworks for writing instruction that are responsive to both cognitive and technological demands.\u003c/p\u003e \u003c/div\u003e"},{"header":"5. Conclusion","content":"\u003cp\u003eThis bibliometric study provides a decade-long panoramic view of the scholarly landscape at the intersection of metacognition, self-regulated learning (SRL), and academic writing instruction. By analyzing 125 Scopus-indexed journal articles published between 2015 and 2025, this research reveals key thematic clusters, temporal evolutions, and intellectual gaps that shape the discourse in this field. The results show that while the core concepts of metacognition and SRL are increasingly embedded in academic writing pedagogy, the field remains dominated by psychological and pedagogical perspectives. Concepts such as motivation, self-efficacy, reflection, and feedback emerge as central to the development of writing competence. Furthermore, the marked growth in publication volume since 2023 reflects a heightened academic awareness of these frameworks\u0026rsquo; importance in promoting effective, reflective, and independent writing practices. However, the study also identifies critical gaps, most notably, the limited integration of technological advancements, particularly artificial intelligence and adaptive learning tools, into metacognitive writing instruction. While terms such as technology and integration appear with increasing frequency, they remain peripheral and are rarely linked with core SRL or metacognitive constructs. This suggests an untapped potential for research that bridges digital innovation with cognitive and instructional design. Additionally, the fragmentation of the literature across domains and methodologies underscores the need for more cohesive, interdisciplinary approaches. Future research would benefit from design-based studies, longitudinal interventions, and cross-field collaboration that align theoretical models with practical writing pedagogy in both physical and digital learning environments. In conclusion, the convergence of metacognition, SRL, and academic writing instruction presents a promising yet underexploited area of research. A more integrated, cross-disciplinary, and technologically-informed agenda is essential to advance both the theory and practice of writing instruction in higher education. Although this study provides a comprehensive bibliometric overview of research on metacognition, self-regulated learning (SRL), and academic writing instruction, several limitations must be acknowledged. First, the analysis was restricted to publications indexed in the Scopus database. While Scopus is widely recognized for its extensive and high-quality coverage, it does not capture all relevant literature, particularly in non-English or regional journals that may also contribute valuable perspectives. Second, the search strategy, though designed to be inclusive, may have inadvertently excluded relevant studies that used alternative terminologies or did not explicitly mention the target constructs in titles, abstracts, or keywords. For instance, terms such as \u0026ldquo;thinking strategies,\u0026rdquo; \u0026ldquo;writing autonomy,\u0026rdquo; or \u0026ldquo;reflective learning\u0026rdquo; may overlap conceptually with metacognition and SRL but were not captured in the query. Third, this study relied on quantitative co-occurrence analysis and did not include qualitative content analysis of the full texts. As a result, some nuanced theoretical arguments and pedagogical frameworks may not be fully represented in the visual mappings and keyword clusters. Finally, while bibliometric tools such as VOSviewer offer valuable visualizations, their interpretive value is bounded by algorithmic limitations and user-defined thresholds (e.g., keyword frequency), which may oversimplify complex conceptual relationships.\u003c/p\u003e \u003cp\u003eTo build upon the findings of this study, several promising avenues for future research are proposed:\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eConceptual Integration with Technology: Future studies should explore how digital tools, particularly AI-assisted writing platforms, intelligent feedback systems, and adaptive learning environments, can be meaningfully integrated with metacognitive and SRL frameworks in writing instruction.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eLongitudinal and Experimental Designs: There is a need for more empirical studies that examine how metacognitive regulation and SRL evolve over time in writing contexts, particularly through intervention-based research or mixed-methods approaches.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eScaffolding and Instructional Design: Research should further investigate how instructional scaffolding, both human and automated, can support students\u0026rsquo; metacognitive development and self-monitoring skills during complex writing tasks.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eCross-Linguistic and Cross-Cultural Perspectives: Expanding research beyond English-dominant contexts will enrich understanding of how metacognitive writing strategies function across different cultural and linguistic environments.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eInterdisciplinary Collaborations: There is significant value in promoting collaboration across education, psychology, computer science, and applied linguistics to co-develop models, tools, and pedagogies that reflect the multifaceted nature of academic writing development.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eBy addressing these directions, future research can contribute to the design of more integrative, adaptive, and evidence-based writing instruction frameworks that empower learners to write reflectively, autonomously, and critically in diverse academic settings.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAnggraeni C, Mujiyanto J, Rustipa K, Widhiyanto (2025) Effects of utilizing self-regulated learning-based instruction on EFL students\u0026rsquo; academic writing skills: a mixed-method investigation. \u003cem\u003eAsian-Pacific Journal of Second and Foreign Language Education\u003c/em\u003e, \u003cem\u003e10\u003c/em\u003e. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1186/s40862-024-00317-6\u003c/span\u003e\u003cspan address=\"10.1186/s40862-024-00317-6\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAria M, Cuccurullo C (2017) bibliometrix: An R-tool for comprehensive science mapping analysis. 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Theory Into Pract 41(2):64\u0026ndash;70. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.jstor.org/stable/1477457\u003c/span\u003e\u003cspan address=\"http://www.jstor.org/stable/1477457\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Universitas Pendidikan Indonesia","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Metacognition, Self-Regulated Learning, Academic Writing, Bibliometric Analysis, Writing Instruction","lastPublishedDoi":"10.21203/rs.3.rs-6580391/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6580391/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study presents a bibliometric analysis of global research trends on metacognition, self-regulated learning (SRL), and academic writing instruction from 2015 to 2025. Drawing on 125 peer-reviewed articles indexed in Scopus, the analysis explores thematic patterns, co-authorship networks, and keyword co-occurrence using VOSviewer. Results indicate a growing scholarly interest in integrating metacognitive regulation and SRL strategies to enhance academic writing performance, with recurring themes such as writing self-efficacy, feedback, and reflective practice. However, research explicitly bridging these constructs with emerging technologies, such as AI-supported scaffolding, remains limited. This article maps the current knowledge structure and highlights research gaps, offering insights into future directions for writing pedagogy in higher education. The findings also provide conceptual support for instructional innovations like the TULIS model, which aims to integrate metacognitive strategies and adaptive feedback systems to improve students\u0026rsquo; argumentative writing competencies.\u003c/p\u003e","manuscriptTitle":"Mapping a Decade of Research on Metacognition, Self-Regulated Learning, and Academic Writing Instruction: A Bibliometric Analysis (2015–2025)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-05 13:34:36","doi":"10.21203/rs.3.rs-6580391/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"85443bea-60e0-4cd5-b93e-f5ef3b70f0b3","owner":[],"postedDate":"May 5th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":48010327,"name":"Linguistics"},{"id":48010328,"name":"Educational Philosophy and Theory"},{"id":48010329,"name":"Artificial Intelligence and Machine Learning"}],"tags":[],"updatedAt":"2025-05-05T13:34:36+00:00","versionOfRecord":[],"versionCreatedAt":"2025-05-05 13:34:36","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6580391","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6580391","identity":"rs-6580391","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}