Essential elements for the success of AI-Driven personalized learning sistems in education
- Autores: Ana Fernández Jiménez
- Localización: Innovación educativa, inclusión y tecnología: estrategias para una sociedad accesible / Marta Montenegro Rueda (ed. lit.), José Fernández Cerero (ed. lit.), María Miravete Gracia (ed. lit.), Victoria Fernández Scagliusi (ed. lit.), 2025, ISBN 9791370060596, págs. 237-260
- Idioma: inglés
- Enlaces
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Resumen
TheintegrationofArtificialIntelligence(AI)intoeducationalsystemsrepresentsasignificantshifttowardspersonalizedlearning,providingtailorededucationalexperiencesthatmeetindividualstudentneeds.ThisstudyexaminestheimpactofAI-basedpersonalizedlearningsystemsonstudentengagement,motivation,andacademicperformance(Adzakuetal.,2022),whileidentifyingthecriticalelementsthatcontributetotheirsuccess.AcomprehensiveliteraturereviewwasconductedalongsideananalysisofcasestudiesfocusingontheimplementationofAI-basedpersonalizedlearningsystems.Keyfactors,suchasadaptability,personalizedfeedback,andcurriculumintegration,wereexploredtounderstandtheirinfluenceoneducationaloutcomes.ThefindingsindicatethatAI-drivenlearningsystemshaveapositiveimpactonstudentmotivationandacademicperformance.Keyfactorsforsuccessincludetheadaptabilityofcontenttomeetindividuallearningneeds,theuseofpersonalizedfeedbacktoguidestudentprogress,andeffectiveintegrationwitheducationalgoals.Additionally,thesesystemscanpromoteself-pacedlearning,fosteringadeeperunderstandingofsubjectmatter.WhileAI-basededucationalsystemsoffersignificantadvantages,theyalsoposechallenges,particularlyregardingtheireffectiveimplementationandtheneedforteachertraining.Optimizingthesesystemsrequiresabalancedapproachthatconsidersboththeindividualneedsofstudentsandthebroadereducationalinfrastructure.ThestudyunderscorestheimportanceofcontinuousassessmentandrefinementofAItoolstoenhancelearningexperiences.ThisresearchprovidesanuancedunderstandingofhowAIcanbeharnessedtoimprovelearningoutcomesandcontributetotheevolutionofeducationalpractices.
