Research on the evaluation of the effect of moraleducation integration in college students physicaleducation classroom based on behavioral perceptionmodel

Research on the evaluation of the effect of moraleducation integration in college students physicaleducation classroom based on behavioral perceptionmodel | 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 Article Research on the evaluation of the effect of moraleducation integration in college students physicaleducation classroom based on behavioral perceptionmodel Yunran Zhi, Zhibin Gao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7315654/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 In the rapidly evolving landscape of computational sciences, the integration of moral education within physical education(PE) classes offers an innovative and impactful avenue for fostering ethical development among college students. Byintroducing a computational methodology to assess moral education in PE contexts, this study transcends traditionalevaluation techniques, which often rely on qualitative and anecdotal assessments lacking scalability, objectivity, andpredictive capabilities. To mitigate the aforementioned shortcomings, we design a novel architecture built upon two coremechanisms—Epistemic Trajectory Encoder (ETE) and Knowledge-Constrained Adaptive Inference (KCAI). The ETE isdesigned to capture the temporal progression of students’ moral development by modeling their ethical decision-makingover time, while the KCAI module introduces domain-specific knowledge constraints to refine the inference process,ensuring both contextual relevance and higher interpretability. This dual-component system enables the detailed modelingof students’ behavioral responses and ethical reasoning in PE environments, allowing educators and researchers toderive actionable insights. Empirical results from our experiments indicate that the proposed model significantly outperforms existing benchmarks in predicting and understanding moral behavior trajectories. These findings underscore thetransformative potential of computational intelligence in educational environments, not only enhancing the accuracy ofassessments but also contributing to the broader discourse on how technology can support character education. Ultimately,this approach serves as a robust tool for promoting ethical awareness through enriched, data-driven physical education curricula. Social science/Education Business and commerce/Information systems and information technology Physical sciences/Mathematics and computing Social science/Science technology and society Epistemic Trajectory Encoder Knowledge-Constrained Adaptive Inference Moral Education Behavioral Perception Modeling Computational Assessment 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-7315654","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":517345720,"identity":"cb78a868-bdf7-4772-b53a-d4ab7d392389","order_by":0,"name":"Yunran Zhi","email":"","orcid":"","institution":"Marxist Philosophy School of Baotou light Industry Vocational Technical College","correspondingAuthor":false,"prefix":"","firstName":"Yunran","middleName":"","lastName":"Zhi","suffix":""},{"id":517345725,"identity":"79130295-ecca-4754-a434-90acac53cf02","order_by":1,"name":"Zhibin Gao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABCUlEQVRIie3PsUrEMBjA8ZRAixC59TrYNxAigROh3OprGAp1usGtw4FfCbRLHyAH4jN06mrDBzcd3FrQwXIv0AcQNYKLYO/OzSH/IYTw/SAfIS7Xv8xT9ogjP8ihHTJ7D+wbHCapmDDMjd4QwuhBQuwIQbnS1wpPiiPIZYBKsIx6decBeo+xfKLU9JrMo/MRd1VJlbCNT/lzDnjXpLKifnJRk0TM2t8Jb6XCRcF8/mIAVw1awmbhK2llM0a2vSXvU8Y7CXj6cAzp7McWwKeh/iLwTeq9pFfibX3DJ8yA0etUVGh30XzPLtvbXaiXH/dFUO6GYRmflaUyfZXNozEyFv/buMvlcrl+9gmvUWeVALLa7gAAAABJRU5ErkJggg==","orcid":"","institution":"Education School of Ishenaly Arabaev Kyrgyz State University","correspondingAuthor":true,"prefix":"","firstName":"Zhibin","middleName":"","lastName":"Gao","suffix":""}],"badges":[],"createdAt":"2025-08-07 07:25:04","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7315654/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7315654/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92209168,"identity":"20dc5f9b-88fe-47d1-8ab4-d84dce4bc3e6","added_by":"auto","created_at":"2025-09-25 19:40:20","extension":"json","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4783,"visible":true,"origin":"","legend":"","description":"","filename":"a1cc375e44144d50a5b5f2d6ae590a2c.json","url":"https://assets-eu.researchsquare.com/files/rs-7315654/v1/3e9f78ae78506604138e5359.json"},{"id":92269256,"identity":"6740c27b-d43e-4d92-991a-8502cd625801","added_by":"auto","created_at":"2025-09-26 14:17:15","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2151547,"visible":true,"origin":"","legend":"","description":"","filename":"ScientificReports.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7315654/v1_covered_7dba6407-6fbc-4503-9377-27556740748c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on the evaluation of the effect of moraleducation integration in college students physicaleducation classroom based on behavioral perceptionmodel","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":"Epistemic Trajectory Encoder, Knowledge-Constrained Adaptive Inference, Moral Education, Behavioral Perception Modeling, Computational Assessment","lastPublishedDoi":"10.21203/rs.3.rs-7315654/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7315654/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In the rapidly evolving landscape of computational sciences, the integration of moral education within physical education(PE) classes offers an innovative and impactful avenue for fostering ethical development among college students. 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