Enseigner Et Apprendre En Contexte D’urgence Sanitaire : Conception D’une Plateforme Intelligente Et Ethique Pour L’apprentissage Humain

  • Morad El Ganbour Université Mohammed Premier Oijda
  • Zakaria Haja Université Mohammed Premier Oijda
  • Ihab Abdelbasset Annaki Université Mohammed Premier Oijda
  • Toumi Bouchentouf Université Mohammed Premier Oijda
  • Saida Belouali Université Mohammed Premier Oijda
Keywords: E-learning, Smart Tutor, Offline access, Action-research, Covid-19
Share Article:

Abstract

In a context of disturbing health emergency, the use of technologies, increasingly equipped with Artificial Intelligence (AI) in the field of education, has generated both the emergence of many issues and the renewal of various moral and ethical questions relating to the different uses of these tools, particularly in terms of equity and accessibility. Through the design of an offline digital learning platform with a smart tutor, we seek to address some of these issues and help mitigate others. Methodologically, the study is intended to be an action-research that fits more into a pragmatic paradigm. One of the main objectives of the research is to ensure equitable access to the educational resources available to learners despite the lack of an internet connection. The study also provided learners with a form of adaptive learning based on their own progress by keeping them informed through personalized notifications

Downloads

Download data is not yet available.

References

Coronavirus disease (COVID-19) pandemic. (2022). World Health Organisation. Consulté le 1 mars 2022, à l’adresse https://www.who.int/emergencies/diseases/novel- coronavirus- 2019?adgroupsurvey={adgroupsurvey}&gclid=CjwKCAjwiuuRBhBvEiwAFXKaNAjrsB0leSP5uFV52ZmTHwiveR73AHBnnyQRewp0-5w1K2ebwPF-phoC55QQAvD_BwE

Roll, I., & Wylie, R. (2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 26(2), 582 599. https://doi.org/10.1007/s40593-016-0110-3

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264 75278. https://doi.org/10.1109/access.2020.2988510

Nishad, N.; Anjali, M.G.; Mohamed, A.S. Artificial intelligence (AI) applications for library services and resources in COVID-19 pandemic. JCR 2020, 7, 1951–1955

Erümit, A. K., & Çetin, S. (2020). Design framework of adaptive intelligent tutoring systems. Education and Information Technologies, 25(5), 4477 4500. https://doi.org/10.1007/s10639-020-10182-8

Reiners, T., & Dreher, H. (2009). Culturally-based Adaptive Learning and Concept Analytics to Guide Educational Website Content Integration. Journal of Information Technology Education: Research, 8, 125 139. https://doi.org/10.28945/163

Turk, H. S., & Akyuz, D. (2016). The effects of using dynamic geometry on eighth grade students’ achievement and attitude towards triangles. Int J Technol Math Educ, 23(3), 95–102. doi: https://doi.org/10.1564/tme_v23.3.01

Özyurt, Ö., Özyurt, H., Güven, B., & Baki, A. (2014). The effects of UZWEBMAT on the probability unit achievement of Turkish eleventh grade students and the reasons for such effects. Computers & Education, 75(1), 1–18. https://doi.org/10.1016/j.compedu.2014.02.005

Ma, W., Adesope, O. O., Nesbit, J. C., & Liu, Q. (2014). Intelligent tutoring systems and learning outcomes: A meta-analysis. Journal of Educational Psychology, 106(4), 901– 918. https://doi.org/10.1037/a0037123

Van der Kleij, F. M., Feskens, R. C., & Eggen, T. J. (2015). Effects of feedback in a computer-based learning environment on students’ learning outcomes: A meta-analysis. Review of Educational Research, 85(4), 475–511. https://doi.org/10.3102/0034654314564881

Mohammed, A.N.; Samy, A.N. Adaptive Intelligent Tutoring System for Learning Computer Theory. Eur. Acad. Res. 2017, 4, 8770–8782.

Bozkurt, A.; Karadeniz, A.; Baneres, D.; Guerrero-Roldán, A.E.; Rodríguez, M.E. Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century. Sustainability 2021, 13, 800.

Published
15 January, 2024
How to Cite
Ganbour, M., Haja, Z., Annaki, I., Bouchentouf, T., & Belouali, S. (2024). Enseigner Et Apprendre En Contexte D’urgence Sanitaire : Conception D’une Plateforme Intelligente Et Ethique Pour L’apprentissage Humain. East African Journal of Education Studies, 7(1), 17-27. https://doi.org/10.37284/eajes.7.1.1693