Manuscript received September 3, 2024; revised September 20, 2024; accepted November 22, 2024; published January 20, 2025
Abstract—This study explores the integration of Artificial Intelligence (AI) and tools like ChatGPT in the teaching of physical sciences, focusing on student perceptions at the Higher Normal School (ENS) of Fez. AI offers opportunities to enhance teaching methodologies, foster interactive learning, and provide personalized educational experiences. A quantitative, descriptive, and exploratory approach was adopted with data collected through a structured questionnaire distributed via Google Forms. The sample comprised 350 undergraduate and master’s students, with 300 valid responses (85.71%). Data analysis, conducted using Excel, revealed that 92.3% of participants are familiar with AI, though 63% believe it cannot fully replace human roles in various sectors. Additionally, 65% had no prior interaction with ChatGPT, and 71% do not take it as a substitute for a physics teacher. These findings highlight the need for a balanced integration of AI in education, emphasizing both its potential benefits and the limitations of over-reliance on technology in teaching.
Keywords—artificial intelligence, generative artificial intelligence, teaching physics, ChatGPT, learner perceptions, chatbots
Cite: Oumaima Tafhi, Khalid El Khattabi, Mohammed Lamrabet, Fatima Ouzennou, and Ahmida Chikhaoui, "Mapping Physical Moroccan Sciences Student’s Perceptions of AI: A Case Study on Generative AI (ChatGPT)," International Journal of Information and Education Technology, vol. 15, no. 1, pp. 175-186, 2025.