Harnessing generative AI to boost active retrieval and retention in MOOCs with spaced repetition

This study explores the use of artificial intelligence to improve active retrieval and retention in Massive Open Online Courses (MOOCs). We developed an AI-driven system that generates learning cards to facilitate active recall and utilize spaced repetition. The system was tested with a group of students and instructors, and the results showed significant improvements in memory retention and overall satisfaction. Expert reviews and participant feedback highlighted the system’s effectiveness in producing accurate and relevant learning cards. Despite promising outcomes, challenges with personalization and language complexity were identified, which will be addressed in future work. This research underscores the potential of AI-driven tools to enhance online learning, offering scalable and personalized solutions that can improve educational outcomes and engagement in MOOCs.

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Publication Details

Journal
Knowledge Management & E-Learning An International Journal
Published
2025-08-18
DOI
https://doi.org/10.34105/j.kmel.2025.17.018
Citations
2
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.39
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article

Harnessing generative AI to boost active retrieval and retention in MOOCs with spaced repetition

Belaid Bouikhalene, Younes-Aziz Bachiri, Hicham Mouncif
2 citations
Knowledge Management & E-Learning An International Journal
Online Learning and Analytics
3.39
article

Harnessing generative AI to boost active retrieval and retention in MOOCs with spaced repetition

Belaid Bouikhalene, Younes-Aziz Bachiri, Hicham Mouncif
article en
2 citations

Abstract

This study explores the use of artificial intelligence to improve active retrieval and retention in Massive Open Online Courses (MOOCs). We developed an AI-driven system that generates learning cards to facilitate active recall and utilize spaced repetition. The system was tested with a group of students and instructors, and the results showed significant improvements in memory retention and overall satisfaction. Expert reviews and participant feedback highlighted the system’s effectiveness in producing accurate and relevant learning cards. Despite promising outcomes, challenges with personalization and language complexity were identified, which will be addressed in future work. This research underscores the potential of AI-driven tools to enhance online learning, offering scalable and personalized solutions that can improve educational outcomes and engagement in MOOCs.

Knowledge Management & E-Learning An International Journal
Université Sultan Moulay Slimane (MA), Sidi Mohamed Ben Abdellah University (MA)
Openalex Percentile: Top 6%
Online Learning and Analytics
3.39
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