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Potentialities of Learning Analytics to Overcome Students Dropout in Distance Higher Education

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Digital Technologies and Applications (ICDTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 668))

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Abstract

In the distance higher education context, the understanding of the dropout phenomenon has progressed, moving from the perception that it is a sign of the deficient quality of the education system to the perception that it is an explicit sign of individual choice, which leads to underlining the importance of studying how dropouts learn in online courses. Completion or dropout of students in higher education is a subject that needs deep research. Learning analytics (LA) can be used as a modern alternative to help predict possible risks of failure and prevent them. The aim of this work is to highlight the potential of the learning analytics technique to mitigate or even prevent the phenomenon of student dropout in online higher education. Thus, a state of the art of learning analytics by describing contributions and their applications is established. The study shows that the evolution of learning analytics technology makes it possible to analyse the cumulative database of students summarizing their experiences during the course to predict students at risk of dropping out.

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Author information

Authors and Affiliations

  1. LPMIC, FSTH, Abdelmalek Essaadi University, Tetouan, Morocco

    Karima Hamdane, Mohammed Massar & Lamyaa Chihab

  2. ISISA, FS, Abdelmalek Essaadi University, Tetouan, Morocco

    Abderrahim El Mhouti

Authors
  1. Karima Hamdane
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  2. Abderrahim El Mhouti
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  3. Mohammed Massar
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  4. Lamyaa Chihab
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Corresponding author

Correspondence to Karima Hamdane .

Editor information

Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Hamdane, K., El Mhouti, A., Massar, M., Chihab, L. (2023). Potentialities of Learning Analytics to Overcome Students Dropout in Distance Higher Education. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_40

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