Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)

Effectiveness of E-learning strategies in Morocco during the COVID19: Highlights from statistical association and categorical fuzzy k-modes clustering

Authors
Abdelkarim Taam1, *, Amine Amar2, Smail Kheraz3, Abdelhak Adnane4, Ayoub Ait Lahcen5
1Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail Universty, Kenitra, Morocco
2School of Science and Engineering, Al Akhawayn University in Ifrane, Ifrane, Morocco
3Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail Universty, Kenitra, Morocco
4Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail Universty, Kenitra, Morocco
5Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail Universty, Kenitra, Morocco
*Corresponding author. Email: abdelkarim.taam@uit.ac.ma
Corresponding Author
Abdelkarim Taam
Available Online 5 February 2024.
DOI
10.2991/978-94-6463-360-3_37How to use a DOI?
Keywords
Developmental education; Digital resources; E-learning; Fuzzy clustering; Information and Communications Technology (ICT); Statistical association
Abstract

The education sector has been undergoing a general paradigm shift with the advent of technology. Thus, different teaching strategies such as, blended, flipped, hybrid or asynchronous mode were adopted through the world and especially during COVID19. In the light of this experience and because education is first an intense human interaction endeavor, different pertinent questions have arisen on the effectiveness of the online learning. In the same vein, this study was conducted in Morocco, to account for teachers experience when delivering online courses. Of the various topics addressed, particular mention was made to the use of ICT in the teaching and learning process. Performed analysis was based on an appropriate statistical methodology, namely statistical tests (Chi-squared test) and a clustering method (categorical fuzzy k-modes clustering with automated attribute-weight and cluster-weight learning). The significance of this study is twofold. First, results from the investigation would develop an understanding of teachers’ engagement and main barriers when using ICT in education. Second, the results concerning the association between ICT use and different features would provide guidelines to improve the field of educational technology. Results illustrated how the teachers’ experience of delivering classes involved lack of ICT infrastructure and lack of student engagement. Based on these results, implications for implementation and research were provided. The remaining parts of the study is laid out as follows: Sect. 1 introduces the general context of this study, Sect. 2 incorporates review of literature, research gap and objectives. Section 3 covers research methodology, research design and data collection. Results and findings are delineated in Sect. 4. Section 5 concludes the paper and recommends policy implications.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
5 February 2024
ISBN
978-94-6463-360-3
ISSN
2667-128X
DOI
10.2991/978-94-6463-360-3_37How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Abdelkarim Taam
AU  - Amine Amar
AU  - Smail Kheraz
AU  - Abdelhak Adnane
AU  - Ayoub Ait Lahcen
PY  - 2024
DA  - 2024/02/05
TI  - Effectiveness of E-learning strategies in Morocco during the COVID19: Highlights from statistical association and categorical fuzzy k-modes clustering
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
PB  - Atlantis Press
SP  - 373
EP  - 386
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-360-3_37
DO  - 10.2991/978-94-6463-360-3_37
ID  - Taam2024
ER  -