Vol. 1 No. 1 (2024): International Journal of Civilizations Studies & Tolerance Sciences
Articles

M-learning and autonomous education: the impact of the Moroccan digital classroom project on science subject’s learning

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  • Hommane Boudine,
  • Hassan Sajid,
  • Meriem Bentaleb,
  • Mohamed Tayebi,
  • Driss El Karfa

Published 2024-05-13

Keywords

  • Artificial intelligence (AI),
  • Digital classroom project,
  • M-Learning,
  • Pedagogical Digitalization

How to Cite

M-learning and autonomous education: the impact of the Moroccan digital classroom project on science subject’s learning. (2024). International Journal of Civilizations Studies & Tolerance Sciences, 1(1), 44-54. https://doi.org/10.54878/1qcw9564

Abstract

The widespread adoption of pedagogical digitalization and its integration into teaching practices has been proposed in response to the global health crisis triggered by the COVID-19 coronavirus pandemic. This suggestion, aimed at ensuring inclusivity and equal opportunities among learners, has profoundly influenced education. In 2021, the Moroccan Minister of National Education for Preschool and Sport announced a significant step forward by launching the digital classroom project, combining distance and face-to-face learning models with digital tools to guarantee the continuity of educational systems in Moroccan institutions. The project specifically aims to strengthen the learning of science subjects (Mathematics, Life and Earth Sciences, and Physics) to secure ongoing education in the face of potential future disruptions. This digital pedagogical revolution has emerged as a highly suitable learning method for diverse social groups (such as people with disabilities and refugees) and various challenging circumstances (natural disasters, wars, pandemics…). The research outlined in this context seeks to assess the impact of combining the use of Artificial Intelligence (AI) and digital classrooms on the performance of science subjects in the Rabat Sale Kenitra region, providing insights into the evolving educational landscape.

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References

  1. P. Prignot, Classe inversée et élèves de l’enseignement secondaire : d’une perspective technologique à une approche anthropologique. Education. Université de Strasbourg, France, 2019; page: 59 to 81.
  2. Hommane Boudine, Meriem Bentaleb, FLIPPED CLASSROOM: EXPERIENCE OF A PEDAGOGICAL MODEL ADOPTED DURING THE HEALTH CRISIS TO SUPPORT WORK-STUDY TEACHING, 2021; Vol 3: No 1: 70-91. https://doi.org/10.48379/IMIST.PRSM/mjqr-v3i1.30851
  3. Hommane Boudine, Meriem Bentaleb, Flipped Classroom, And Digital Classes In Morocco: Experience Quality Educational Digitization With Ease, ResMilitaris, 2023; vol.13,n°3, March Spring.
  4. J´erome Hutain, Nicolas Michinov: Improving student engagement during in-person classes by using functionalities of a digital learning environment
  5. Ait Moussa Abdelaziz, L’impact de la méthode inversée sur un cours d’informatique : une étude de cas à l’université d’Oujda, Morocco, 2016, http://www.adjectif.net/spip/spip.php?article405.
  6. G. Parent, & A. Paquin, Enquête auprès de décrocheurs sur les raisons de leur abandon scolaire. Revue des sciences de l’éducation, (1994).
  7. Oluwafemi J. Sunda, The effects of smartphone addiction on learning: A meta-analysis,
  8. M. Guilbault et A. Viau-Guay, La classe inversée comme approche pédagogique enenseignement supérieur : état des connaissances scientifiques et recommandations, Revue internationale de pédagogie de l’enseignement supérieur, (2017).
  9. ROY-WSIAKI Geneviève N, GRAVEL Nicolas R, PONGOSKI Maria L, « Évaluation de la plateforme pédagogique Simple Steps : une ressource d’intervention accessible et inclusive pour le TSA », La nouvelle revue - Éducation et société inclusives, 2022/1 (N° 93); page 193 à 213, https://doi.org/10.3917/nresi.093.0193.
  10. R. Bentaibi flipped classroom: an innovative and revolutionary pedagogy of learning. International Journal of Advanced Research (2018) http://dx.doi.org/10.21474/IJAR01/8115
  11. D. Leclercq & M. Poumay, Le Modèle des Evénements d’Apprentissage/Enseignement LabSET–IFRES–ULg, Université de Liège, 2008 ;page 1 à 10.
  12. C. Caroline, V. Bruno, La pédagogie inversée : une évaluation de son efficacité sur les résultats scolaires et sur l'intérêt des étudiants, (2018).
  13. Marcel Lebrun. Classe inversée oui mais… Quoi et comment ? Pourquoi et pour quoi ? (2016).
  14. H. Ratompomalala et J. Razafimbelo, Images numériques : simulations et vidéos : Quels apports pour l’enseignement apprentissage de la physique ? (2019)
  15. M. Lahchimi, La réforme de la formation des enseignants au Maroc, Revue internationale d’éducation de Sèvres (2015).
  16. Hoang-Oanh, T. T. (2020). The Impact of a Flipped Classroom on Student Learning Achievements in EFL Classrooms. Education, Language and Sociology Research, 1(2), p13. https://doi.org/10.22158/elsr.v1n2p13
  17. Murillo-Zamorano, L. R., López Sánchez, J. N., & Godoy-Caballero, A. L., How the flipped classroom affects knowledge, skills, and engagement in higher education: Effects on students’ satisfaction. Computers & Education, 2019; 141, 103608. https://doi.org/10.1016/j.compedu.2019.103608
  18. Lin, Y. T. (2019). Impacts of a flipped classroom with a smart learning diagnosis system on students’ learning performance, perception, and problem-solving ability in a software engineering course. Computers in Human Behavior, 95, 187 196. https://doi.org/10.1016/j.chb.2018.11.036
  19. Hinojo-Lucena, F.-J., Aznar-Díaz, I., Cáceres-Reche, M.-P., & Romero-Rodríguez, J.-M., Flipped Classroom Method for the Teacher Training for Secondary Education, 2019 https://doi.org/10.3390/nu11092151
  20. Al Ghawail, E., & Ben Yahia, S. (2021). The Flipped Classroom Model in Libyan Higher Education: Experiences with Students of Computer Principles. Proceedings of the 2021; page 015, InSITE Conference. Published. https://doi.org/10.28945/4778
  21. Moundy, K., Chafiq, N., & Talbi, M. (2022). Digital Textbook and Flipped Classroom: Experimentation of the Self-Learning Method Based on the Development of Soft Skills and Disciplinary Knowledge. International Journal of Emerging Technologies in Learning (iJET), 17(07), pp. 240–259. https://doi.org/10.3991/ijet.v17i07.28933
  22. Jambi Ratnaraja Kumar, Santoshkumar Chobe, Swati Nikam, Shrinivas Zanwar, Madhuri Borawake, Deepali Hirolikar, (2023), Introduction of machine learning with applications to communication system, Journal of Autonomous Intelligence, https://doi.org/10.32629/jai.v6i3.1244
  23. Rajan Saluja, Munishwar Rai, Rashmi Saluja, Designing new student performance prediction model using ensemble machine learning, Journal of Autonomous Intelligence, 2023; vol.6 No.2. https://doi.org/10.32629/jai.v6i1.583
  24. H. Boudine, (2023), Internet addiction and self-learning: the impact of uncontrolled smartphone use on teenagers’ educational outcomes, Journal of Namibian Studies, Vol 35 (2023): Special Issue 1 https://doi.org/10.59670/jns.v35i.4247
  25. H. Boudine, (2023), Intelligent solutions in education: how inclusive the Moroccan Digital Classrooms project is for different social groups, Journal of Autonomous Intelligence, 2023; vol.7 No.6

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