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Proposal for an Adaptive Recommender System to Support Teaching Practices

  • International Journal of Interactive Mobile Technologies (iJIM)
  • kassel university press
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Abstract

The shift to online learning, which has grown by 70% in recent years, has brought unprecedented challenges to the educational landscape. This emphasizes the urgent need for innovative solutions that address the evolving needs of both educators and students. This study introduces a novel adaptive recommender system for educators, which has demonstrated significant improvements in teaching effectiveness through personalized strategy recommendations. Preliminary findings reveal a notable increase in student engagement and comprehension, underscoring the system’s potential to revolutionize educational practices.

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DOI
10.3991/ijim.v19i05.52431
OpenAlex
W4408409408
Document type
article
Language
EN
Source
International Journal of Interactive Mobile Technologies (iJIM)
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