The Effect of ChatGPT on Education in the UAE

Authors

DOI:

https://doi.org/10.3991/ijet.v19i06.49799

Keywords:

ChatGPT, Educators, Learning, Cheating, Innovative

Abstract


This study examines the impact of ChatGPT on undergraduate students’ learning. The study utilizes a survey to gather authentic data from a sample of 316 bachelor students from 15 universities across the UAE. The survey comprises 22 dimensions categorized into four constructs related to ChatGPT usage, benefits, drawbacks, and the types of questions ChatGPT can address. A statistical analysis was conducted to explore three primary hypotheses. The analysis involved using Excel and R software to perform one-sample t-tests, two-sample t-tests, ANOVA, and correlation. The findings indicate that students’ use of ChatGPT for various assignments is still infrequent, despite their familiarity with it. This suggests that educators have not yet integrated ChatGPT into assignments and view it more as a threat than an opportunity. Students acknowledge both the advantages and disadvantages of ChatGPT. However, students in medical fields expressed more criticism towards ChatGPT compared to students in engineering, computer science, and business disciplines. Additionally, male and female students hold similar perceptions, except for two dimensions. The results also suggest that educators should pose questions that necessitate personal arguments, experiences, and critical thinking to deter academic dishonesty.

Author Biography

Mohammed Alnahhal, American University of Ras Al Khaimah

Dr. Mohammed Alnahhal holds Bachelor and Master Degrees in Industrial Engineering. He was employed at the Islamic University of Gaza for three years. In 2015, he received his PhD degree from the University Duisburg-Essen in Germany for his thesis on efficient material flow in mixed model assembly lines. For one year subsequent to his PhD graduation he was a logistics consultant in a German company called Müller ‒ Die lila Logistik AG. Then he worked as a research fellow at Deggendorf Institute of Technology for about two years and a half. Currently he is working in the American University of Ras Al Khaimah as an Associate Professor in the school of industrial Engineering.

His research includes supply chain management especially in-house logistics, Simulation, Operations Research, Genetic Algorithm, Neural Networks, data analysis, and Project Management.

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Published

2024-08-02

How to Cite

Alnahhal, M., Alali, H., & Alshamsi, R. (2024). The Effect of ChatGPT on Education in the UAE. International Journal of Emerging Technologies in Learning (iJET), 19(06), pp. 65–78. https://doi.org/10.3991/ijet.v19i06.49799

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Papers