AI-Enabled Personalized Online Learning Using Reinforcement Learning

AI-Enabled Personalized Online Learning Using Reinforcement Learning | 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 AI-Enabled Personalized Online Learning Using Reinforcement Learning VANITHA N, Sudhikshaa R This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9181331/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 The quick development of online learning platforms has fundamentally altered the way that education is provided, making it more adaptable and available to a larger audience. Many of these platforms, however, continue to rely on rigid, rule-based systems that are unable to adjust to the unique behavior of each learner or their evolving learning requirements. There is still a lack of a cohesive, learner-focused approach, despite recent research demonstrating that reinforcement learning (RL) can enhance particular areas like recommendation systems, adaptive learning paths, and overall learning quality.By enabling systems to continuously learn and get better through interaction and feedback, reinforcement learning offers a potent solutionIn order to improve personalization, adaptability, learning analytics, and overall quality of experience (QoE), this paper investigates the application of reinforcement learning (RL) in online learning environments. The study identifies important issues like scalability, real-time implementation, data privacy, and sustaining learner engagement by analyzing and integrating findings from current research.Lastly, the paper discusses how a useful RL-based adaptive learning framework can be applied as a practical project for contemporary online learning platforms. Quality of Experience (QoE) Intelligent Tutoring Systems Personalized Learning Adaptive Learning Systems Learning Analytics Reinforcement Learning and Online Learning Platforms Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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-9181331","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":610363967,"identity":"95b0fa7d-39d5-4eba-a761-651c83f95aa6","order_by":0,"name":"VANITHA N","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyElEQVRIiWNgGAWjYJCCA4wNDHIMzCAmGxgRoeVgA4MxAzMzCVoYgFoSGxigWggCg+NnDx7+uMMuvb+d/wDDh7LDDHzSDQS0nMlLOHDwTHLujMPMDIwzzh1mYJM5gF+LZEOOwYGDbcy5G4B+YeZtA2qRSCCgpf8NSEt9ugFIy19itPBLgG05nADWwkicFqAtZ9uOGwL9YnCw51w6D0EtbPw5xh8q26rl+fsPPnzwo8xaTn4GAS0o4AAQ85CgfhSMglEwCkYBLgAAKp5AQu827osAAAAASUVORK5CYII=","orcid":"","institution":"Coimbatore Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"VANITHA","middleName":"","lastName":"N","suffix":""},{"id":610363968,"identity":"e7d65ff6-83b4-4dcc-962f-d88d459c60b6","order_by":1,"name":"Sudhikshaa R","email":"","orcid":"","institution":"Coimbatore Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Sudhikshaa","middleName":"","lastName":"R","suffix":""}],"badges":[],"createdAt":"2026-03-20 18:23:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9181331/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9181331/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":107223560,"identity":"f2c9ec14-2878-48b8-b311-fc4508fe2837","added_by":"auto","created_at":"2026-04-18 15:10:14","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":426862,"visible":true,"origin":"","legend":"","description":"","filename":"RLeducationversion3.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9181331/v1_covered_17f9fb8f-d480-427d-a5a5-cad183639486.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"AI-Enabled Personalized Online Learning Using Reinforcement Learning","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"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":"Quality of Experience (QoE), Intelligent Tutoring Systems, Personalized Learning, Adaptive Learning Systems, Learning Analytics, Reinforcement Learning, and Online Learning Platforms","lastPublishedDoi":"10.21203/rs.3.rs-9181331/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9181331/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe quick development of online learning platforms has fundamentally altered the way that education is provided, making it more adaptable and available to a larger audience. 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