The Intersection of Technology and Art: A Study on AI-Driven CTCL Music Teaching Paradigm

The Intersection of Technology and Art: A Study on AI-Driven CTCL Music Teaching Paradigm | 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 The Intersection of Technology and Art: A Study on AI-Driven CTCL Music Teaching Paradigm Jingyao Sang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5430174/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 This research investigates the influence of the AI-supported CTCL teaching model on students' music literacy, focusing on its practical application in music education. The study involved 88 music majors, whose abilities were analyzed using the radial basis function (RBF) algorithm. The comparison between the experimental and control groups focused on music interest and core musical skills. The results demonstrate that the experimental group showed marked improvements in areas such as music aesthetics, artistic expression, creative practice, and cultural comprehension. These findings affirm the CTCL teaching model’s effectiveness in boosting students' music literacy across multiple dimensions. Particularly, the model excels at cultivating artistic creativity and enriching students' cultural understanding. This study underscores the importance of merging the CTCL model with AI algorithms, revealing its positive influence on students' musical development and providing valuable insights for enhancing music education practices. music education artificial intelligence algorithms CTCL teaching paradigm music literacy 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. 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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-5430174","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":376753246,"identity":"e7344fa4-3b71-4c97-bedb-81340ff5b54c","order_by":0,"name":"Jingyao Sang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBUlEQVRIie2RsWrDMBCGzwjkDke9yjgPoWAIlBryIF1kDMniUEqgeDDFENCUB9DQl+gbBATuIjp7DBQ6C7p4rFI6Vq7HDvq2++8+xJ0AAoH/CAMgY9MijbvybF1w7YK/FTD9IsHT+1K5ms5SIkmKVJUfGc5Rkuy4/HyQFLnRIisa/UTjg+bQFnc+JX02eabeFshfpchroxnFvhLQb3adR+FDvQJ8vLxiRLWTTmF1foo67VXW3wolyId7q2/mKJzVK4KSYKpEeYh+FDGlsGGzT5Xp0R25io5mm0q3CxcTuySqerG2adfuK7fj2NwmibsYs23hVQCu+C+h8I5fiM+T7UAgEAjAFyC3V6STTR9EAAAAAElFTkSuQmCC","orcid":"","institution":"Heze No. 2 Middle School","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Jingyao","middleName":"","lastName":"Sang","suffix":""}],"badges":[],"createdAt":"2024-11-11 08:38:50","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5430174/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5430174/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":78853037,"identity":"cb7427f7-d1af-4556-bd38-62400fed7a67","added_by":"auto","created_at":"2025-03-19 20:31:25","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":641147,"visible":true,"origin":"","legend":"","description":"","filename":"1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5430174/v1_covered_427ce314-17f2-4236-9972-b7dabbf4cb9f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Intersection of Technology and Art: A Study on AI-Driven CTCL Music Teaching Paradigm","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":"music education, artificial intelligence algorithms, CTCL teaching paradigm, music literacy","lastPublishedDoi":"10.21203/rs.3.rs-5430174/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5430174/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis research investigates the influence of the AI-supported CTCL teaching model on students' music literacy, focusing on its practical application in music education. 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