Leveraging Technology for Personalized Learning in English Language Education: A Scoping Review | 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 Systematic Review Leveraging Technology for Personalized Learning in English Language Education: A Scoping Review Edilhynie Jambangan, Ruby Serrano This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6535311/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 article is a scoping literature review focusing on leveraging technology for personalizing English language education. There are 20 studies published between 2020 and 2025 that were included and analyzed to develop themes. The results revealed that the teachers use technological tools to personalize language teaching grouped in three main themes: immersive learning environments, gamification and adaptive AI tools, and mobile and feedback-oriented applications. While challenges are seen and grouped under the theme barriers to integration, composed of infrastructure limitation, teacher preparedness, and time constraints, positive effects are also seen as an avenue for improvement, under the theme probabilities for impact, the enhanced learner engagement and pedagogical impact. The overall review proved that technology-driven personalization of English language classrooms can be done as long as there is a systematized teaching capacity and readiness program, digital infrastructure and institutional support. Technology also serves as a tool for teachers as they provide instructions suitable for different learning styles and aptitudes. More so, they remain facilitators instead of only being a source of information. Educational Philosophy and Theory Artificial Intelligence English Language Technology Personalized Learning Full Text Additional Declarations The authors declare no competing interests. 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-6535311","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Systematic Review","associatedPublications":[],"authors":[{"id":448387831,"identity":"bbdbb673-8f63-41f5-b2a4-72f0d63c6d5b","order_by":0,"name":"Edilhynie Jambangan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIiWNgGAWjYFCCAwzMEAbzAahIAgMDYwNRWtgSiNXCANPCY0CcFn7Gw083F9Tcseuf3fNN8kfFHQZ+9hwD5sIduLVINhwzuz3j2LPkGXfObpPmOfOMQbLnjQHzzDO4tRgcOGB2m4ftcDLDjdxt0oxthxkMbgBt4W3DrcX+wPFvt3n+HU6Wv5HzTPLnv8MM9oS0GDCcMbvN23bYDmg4mwRvA9AWCQJaJA6cKbs9s+9wguGNNGNrnmPPeCTOPCs4PBOPFv4Zx7fdLvh22F7uRvLDmz9q7sjxtydvfFyIRwvQGjCV2ADhHuABkYfxaABaA1FrD+VCDGDGq2UUjIJRMApGGgAAv5Bc/xnsglwAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0002-2741-5498","institution":"University of Southeastern Philippines, Davao City, Philippines","correspondingAuthor":true,"prefix":"","firstName":"Edilhynie","middleName":"","lastName":"Jambangan","suffix":""},{"id":448387832,"identity":"f6559eb9-9c34-41b3-8ab1-5e714c7372db","order_by":1,"name":"Ruby Serrano","email":"","orcid":"https://orcid.org/0000-0003-4356-6648","institution":"University of Southeastern Philippines, Davao City, Philippines","correspondingAuthor":false,"prefix":"","firstName":"Ruby","middleName":"","lastName":"Serrano","suffix":""}],"badges":[],"createdAt":"2025-04-26 13:36:09","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6535311/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6535311/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":81602130,"identity":"f491eb3b-ab05-45ca-b483-6b95def45898","added_by":"auto","created_at":"2025-04-29 04:31:09","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":490508,"visible":true,"origin":"","legend":"","description":"","filename":"LeveragingTechnologyforPersonalizedPREPRINT.docx.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6535311/v1_covered_c635c2cc-cc70-47bd-a28a-345933194d24.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eLeveraging Technology for Personalized Learning in English Language Education: A Scoping Review\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"University of Southeastern Philippines","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":"Artificial Intelligence, English Language, Technology, Personalized Learning","lastPublishedDoi":"10.21203/rs.3.rs-6535311/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6535311/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis article is a scoping literature review focusing on leveraging technology for personalizing English language education. There are 20 studies published between 2020 and 2025 that were included and analyzed to develop themes. The results revealed that the teachers use technological tools to personalize language teaching grouped in three main themes: immersive learning environments, gamification and adaptive AI tools, and mobile and feedback-oriented applications. While challenges are seen and grouped under the theme barriers to integration, composed of infrastructure limitation, teacher preparedness, and time constraints, positive effects are also seen as an avenue for improvement, under the theme probabilities for impact, the enhanced learner engagement and pedagogical impact. The overall review proved that technology-driven personalization of English language classrooms can be done as long as there is a systematized teaching capacity and readiness program, digital infrastructure and institutional support. Technology also serves as a tool for teachers as they provide instructions suitable for different learning styles and aptitudes. More so, they remain facilitators instead of only being a source of information.\u003c/p\u003e","manuscriptTitle":"Leveraging Technology for Personalized Learning in English Language Education: A Scoping Review","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-29 04:23:00","doi":"10.21203/rs.3.rs-6535311/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"fcc50dda-21bf-4870-977f-18187dc8b6ee","owner":[],"postedDate":"April 29th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":47723029,"name":"Educational Philosophy and Theory"}],"tags":[],"updatedAt":"2025-04-29T04:23:00+00:00","versionOfRecord":[],"versionCreatedAt":"2025-04-29 04:23:00","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6535311","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6535311","identity":"rs-6535311","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.