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Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments

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Published in:Discover AI
Format: Online Article RSS Article
Published: 2026
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container_title Discover AI
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discipline_display Education
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publishDate 2026
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spellingShingle Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
— — — — — Access Artificial Intelligence and Machine Learning
Higher Education
Education
sub_discipline_display Higher Education
sub_discipline_facet Higher Education
subject_display — — — — — Access Artificial Intelligence and Machine Learning
Higher Education
Education
— — — — — Access Artificial Intelligence and Machine Learning
Higher Education
Education
subject_facet — — — — — Access Artificial Intelligence and Machine Learning
Higher Education
Education
title Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
title_auth Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
title_full Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
title_fullStr Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
title_full_unstemmed Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
title_short Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
title_sort generative ai for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments
topic — — — — — Access Artificial Intelligence and Machine Learning
Higher Education
Education
url https://link.springer.com/article/10.1007/s44163-026-01264-6