Development and validation of an adaptive learning readiness assessment framework for Moodle courses

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Abstract In the evolving landscape of educational technology, adaptive learning represents a significant advancement in personalizing student experiences. Despite Moodle's capabilities to support adaptive learning, institutions often struggle to implement these features effectively. This study addresses this gap by developing and validating an Adaptive Learning Readiness Assessment Framework (ALRAF) for evaluating Moodle courses' potential to support adaptive learning experiences. Drawing on established theoretical foundations and contemporary research in educational technology, we identified five key dimensions of adaptive learning readiness: Content Variety, Interaction Diversity, Assessment Flexibility, Learning Path Personalization, and Feedback Mechanisms. We applied this framework to analyze 985 Moodle courses at a Ukrainian pedagogical university using existing course component data. Our findings reveal significant correlations between adaptive readiness scores and student learning outcomes, with higher-scoring courses demonstrating improved grade distributions. The dimensional analysis highlights strong implementation of content variety but significant weaknesses in learning path personalization. Variations in readiness across faculties point to potential disciplinary differences in technology adoption. This framework provides institutions with a diagnostic tool for evaluating and enhancing their LMS implementation, bridging the gap between Moodle's technical capabilities and pedagogical implementation for adaptive learning. The study contributes to educational technology literature by transforming descriptive analysis into a prescriptive framework that can guide course design decisions and professional development initiatives.
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Development and validation of an adaptive learning readiness assessment framework for Moodle courses | 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 Research Article Development and validation of an adaptive learning readiness assessment framework for Moodle courses Serhiy Semerikov, Pavlo Nechypurenko, Tetiana Vakaliuk, Iryna Mintii, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7596476/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 11 You are reading this latest preprint version Abstract In the evolving landscape of educational technology, adaptive learning represents a significant advancement in personalizing student experiences. Despite Moodle's capabilities to support adaptive learning, institutions often struggle to implement these features effectively. This study addresses this gap by developing and validating an Adaptive Learning Readiness Assessment Framework (ALRAF) for evaluating Moodle courses' potential to support adaptive learning experiences. Drawing on established theoretical foundations and contemporary research in educational technology, we identified five key dimensions of adaptive learning readiness: Content Variety, Interaction Diversity, Assessment Flexibility, Learning Path Personalization, and Feedback Mechanisms. We applied this framework to analyze 985 Moodle courses at a Ukrainian pedagogical university using existing course component data. Our findings reveal significant correlations between adaptive readiness scores and student learning outcomes, with higher-scoring courses demonstrating improved grade distributions. The dimensional analysis highlights strong implementation of content variety but significant weaknesses in learning path personalization. Variations in readiness across faculties point to potential disciplinary differences in technology adoption. This framework provides institutions with a diagnostic tool for evaluating and enhancing their LMS implementation, bridging the gap between Moodle's technical capabilities and pedagogical implementation for adaptive learning. The study contributes to educational technology literature by transforming descriptive analysis into a prescriptive framework that can guide course design decisions and professional development initiatives. adaptive learning Moodle readiness assessment framework development higher education student outcomes course design Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 19 May, 2026 Reviews received at journal 13 May, 2026 Reviewers agreed at journal 13 May, 2026 Reviews received at journal 11 May, 2026 Reviewers agreed at journal 23 Apr, 2026 Reviewers agreed at journal 18 Feb, 2026 Reviewers agreed at journal 07 Jan, 2026 Reviewers invited by journal 25 Sep, 2025 Editor assigned by journal 19 Sep, 2025 Submission checks completed at journal 19 Sep, 2025 First submitted to journal 12 Sep, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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