Personalized Learning Path Generation Based On Neuro-cognitive Collaborative Filtering

Personalized Learning Path Generation Based On Neuro-cognitive Collaborative Filtering | 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 Personalized Learning Path Generation Based On Neuro-cognitive Collaborative Filtering Yuxian Qu, Lei Wang, Huanhuan Zhang, Wei Li, Zhiqiang Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4072040/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 With the rapid development of information technology in education, teaching resources have increased dramatically and the teaching environment has improved. However, resource overload and learning disorientation are challenges faced by learners. This study proposes a personalized learning path generation model based on neurocognitive collaborative filtering technology. By analyzing learners' personalized static parameters and dynamic learning behavior data, explicit and implicit weak knowledge points are identified, and optimized learning paths are generated. The empirical results show that the method significantly improves learners' learning outcomes and satisfaction over traditional methods. This study promotes the development of personalized learning design and effective learning support systems with important implications for educational practice. intelligent learning Neural collaborative filtering Cognitive level diagnosis Personalized learning 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-4072040","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":282418210,"identity":"eaa49a85-0a7f-41a2-8320-e7aaa6892d9e","order_by":0,"name":"Yuxian Qu","email":"","orcid":"","institution":"Xi'an University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yuxian","middleName":"","lastName":"Qu","suffix":""},{"id":282418211,"identity":"14c7b967-942c-4e04-968e-fdb0f097491a","order_by":1,"name":"Lei Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2ElEQVRIiWNgGAWjYBACPgbGBhAtB+UzE9bCBtViDMQgFlFaICCxgXgt7M1tEj931KZvOH7G/AFDhXViA/vZA/i18Bxsk+w9czx3Zk+OYQPDmfTEBp68BPxaJBLbbvC2HcvtZwBqYWw7nNggwWOAX4v8w7abf9uOpbPxvwFq+UeMFgnGttu8bTUJ/BIgWxqI0cKT2P5btu2A4cwZzwpnJBxLN27jycGvhZ/9+GPDt2118gbnkzd8+FBjLdvPfga/Fig4DKESGBAxRQjUEaluFIyCUTAKRiQAAF23RJ3iIyB4AAAAAElFTkSuQmCC","orcid":"","institution":"Xi'an University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Lei","middleName":"","lastName":"Wang","suffix":""},{"id":282418212,"identity":"a1d118d4-78a2-4512-ab78-2bc934974b11","order_by":2,"name":"Huanhuan Zhang","email":"","orcid":"","institution":"Xi'an University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Huanhuan","middleName":"","lastName":"Zhang","suffix":""},{"id":282418213,"identity":"9d277b36-d1f2-490c-ada7-0373be3dd4b0","order_by":3,"name":"Wei Li","email":"","orcid":"","institution":"Xi'an University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Wei","middleName":"","lastName":"Li","suffix":""},{"id":282418215,"identity":"1ce18c28-ac0f-4214-b58a-c7c56dae93ca","order_by":4,"name":"Zhiqiang Zhao","email":"","orcid":"","institution":"Xi'an University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Zhiqiang","middleName":"","lastName":"Zhao","suffix":""}],"badges":[],"createdAt":"2024-03-11 09:30:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4072040/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4072040/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":53677281,"identity":"9640f2c8-7722-4f72-845a-3fbd8abbd9d9","added_by":"auto","created_at":"2024-03-28 19:22:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":836749,"visible":true,"origin":"","legend":"","description":"","filename":"NaturalComputing.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4072040/v1_covered_dfd56205-32a6-4124-8ed4-d6f864871d60.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Personalized Learning Path Generation Based On Neuro-cognitive Collaborative Filtering","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"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":"intelligent learning, Neural collaborative filtering, Cognitive level diagnosis, Personalized learning","lastPublishedDoi":"10.21203/rs.3.rs-4072040/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4072040/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWith the rapid development of information technology in education, teaching resources have increased dramatically and the teaching environment has improved. 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