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IJIET 2024 Vol.14(6): 856-864
doi: 10.18178/ijiet.2024.14.6.2111

Artificial Intelligence from Teachers’ Perspectives and Understanding: Moroccan Study

Hamza Fakhar*, Mohammed Lamrabet, Noureddine Echantoufi, Khalid El Khattabi, and Lotfi Ajana
Laboratory of Computer Science and Interdisciplinary Physics (LIPI), ENS, Sidi Mohamed Ben Abdellah University, B.P 5206 Bensouda Fez, Morocco
Email: hamza.fakhar@usmba.ac.ma (H.F.); mohammed.lamrabet@usmba.ac.ma (M.L.); noureddine.echantoufi@usmba.ac.ma (N.E.); khalid.elkhattabi2018@usmba.ac.ma (K.E.K.); lotaja@yahoo.fr (L.A.)
*Corresponding author

Manuscript received December 20, 2023; revised January 25, 2024; accepted February 7, 2024; published June 19, 2024

Abstract—Artificial Intelligence (AI) has made a major impact in the realm of education by leveraging machine learning algorithms, natural language processing and other AI tools to enhance learning experiences and improve educational outcomes. However, the effective implementation of AI tools in education is related to the attitudes of teachers as they play a fundamental role in the teaching and learning process. This study aims at exploring teachers’ perspectives on AI-based tools in their teaching experiences, aiming to equip them with the necessary skills to integrate this new technology in their teaching practices as part of their professional development. A quantitative study was conducted, and data was collected from a questionnaire distributed to 237 public school teachers in Morocco, precisely in the region of Fez-Meknes, based on snowball method. The instrument was tested for reliability and was confirmed to meet the necessary standards. Notably, the analysis of the survey responses indicates that despite having limited AI knowledge, teachers have a positive attitude towards AI tools in their teaching approaches. Furthermore, the research underscores a direct correlation between teachers’ AI proficiency and key demographic variables like gender, age, teaching years and academic level. Also, the findings revealed a strong correlation between teachers’ perception and their academic level, yet no notable link was found between perception and variables like Gender, Age, or working years.

Keywords—artificial intelligence (AI), educational tools based on AI, Moroccan teachers, motivation, perception, professional vocational training

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Cite: Hamza Fakhar, Mohammed Lamrabet, Noureddine Echantoufi, Khalid El Khattabi, and Lotfi Ajana, "Artificial Intelligence from Teachers’ Perspectives and Understanding: Moroccan Study," International Journal of Information and Education Technology vol. 14, no. 6, pp. 856-864, 2024.


Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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