Bridging Engagement Analytics and Task Management for Quality Online Education: An SDG 4 Approach

Bridging Engagement Analytics and Task Management for Quality Online Education: An SDG 4 Approach | 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 Bridging Engagement Analytics and Task Management for Quality Online Education: An SDG 4 Approach K. Suthendran, P. Linu Zenas Paul This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8252131/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract This paper outlines an end-to-end, real-time, multi-modal system, EduVision Analyzer, that bridges student engagement analytics with automated task management, directly addressing UN Sustainable Development Goal 4 (Quality Education). The system accepts post-class video and audio, with computer vision to extract attention, activity, and emotion, and Natural Language Processing (NLP) to generate a summary and infer actionable tasks. The system novelty lies at the direct integration with task management systems, with automated synchronisation of inferred deadlines and assignment to Trello boards. Unlike previous studies, concerned with engagement monitoring, our strategy outlines a closed-loop solution that maps analytics to concrete, structured support for students, with the benefit of yielding both real-time student accountability and instructional insights. Our solution is thus positioned ahead of the standard, older e-learning analytic tools. Student Engagement Multi-modal Analytics Computer Vision Emotion Recognition Gaze Tracking Audio Summarization Task Management Trello Online Education Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 26 Feb, 2026 Reviews received at journal 22 Feb, 2026 Reviews received at journal 15 Feb, 2026 Reviewers agreed at journal 13 Feb, 2026 Reviewers agreed at journal 03 Feb, 2026 Reviewers agreed at journal 02 Feb, 2026 Reviewers invited by journal 02 Feb, 2026 Editor assigned by journal 13 Jan, 2026 Editor invited by journal 12 Jan, 2026 Submission checks completed at journal 09 Jan, 2026 First submitted to journal 09 Jan, 2026 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8252131","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":584929282,"identity":"d4bfa056-5785-46d1-bdae-6dcd01ce7a94","order_by":0,"name":"K. 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