Technologies émergentes en éducation : potentiel et défis de la personnalisation via l'IA et la chaîne de blocs
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Cet article examine comment l'analytique de l'apprentissage, l'intelligence artificielle (IA) et la chaîne de blocs transforment la personnalisation de l'éducation. En explorant la littérature récente, il identifie les contributions et les défis de ces technologies dans l'amélioration des parcours éducatifs. L'analyse suggère que l'intégration de ces technologies offre des opportunités uniques pour la personnalisation de l'apprentissage, tout en soulevant des questions importantes sur la sécurité, la confidentialité et l'équité. La convergence de l'IA, de l'analytique de l'apprentissage et de la technologie de la chaîne de blocs promet une révolution dans la manière dont l'éducation est délivrée et reçue, permettant une adaptation précise au profil de chaque apprenant. Cette intégration technologique, cependant, exige une réflexion approfondie sur les cadres éthiques et réglementaires pour garantir que la personnalisation de l'éducation bénéficie à tous, sans compromettre la sécurité des données ni accentuer les inégalités. L'article plaide pour une collaboration étroite entre développeurs technologiques, éducateurs et décideurs politiques pour relever ces défis et exploiter pleinement le potentiel de ces technologies émergentes dans l'éducation.
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