The Impact of Artificial Intelligence on Students’ Academic Performance from University Teachers’ Perspectives

Sihem GUIDOUM
University Algiers 3
guidoum.sihem@univ-alger3.dz
https://orcid.org/0009-0003-1601-8387
Elkhansa SAADI
University of Algiers 3
saadi.elkhansa@univ-alger3.dz
https://orcid.org/0009-0008-6015-1894

Abstract

Artificial Intelligence is rapidly transforming various sectors, including education. This study investigates the impact of artificial intelligence on students’ academic performance across different fields from the perspective of university teachers at different universities in Algeria. The study employed a descriptive analytical approach and a questionnaire was administered to a sample of 150 higher education university teachers. The results indicate that university teachers generally perceive a positive impact of artificial intelligence techniques on students’ academic performance, citing improvements in critical thinking, problem-solving skills, independence in learning, and creativity. However, they also acknowledge challenges such as the potential for reduced human interaction, overreliance on artificial intelligence, the need for teacher training, ethical considerations, and the digital divide. Overall, this study provides valuable insights into the perceptions of university teachers regarding the role of artificial intelligence in education and highlights the need for further research to address the challenges and maximize the benefits of artificial intelligence in higher education

Keywords: Academic performance, artificial intelligence, higher education, perspectives, students

How to Cite this Paper :

Guidoum, S., & Saadi, E.(2024). The Impact of Artificial Intelligence on Students’ Academic Performance from university teachers’ Perspectives. Atras Journal, 5(Sepcial Issue), 381-395.

DOI:
https://doi.org/10.70091/atras/AI.24

References:

A-Atal, H. M., Al-Enezi, G. I., & Al-Ajmi, A. R. (2021). The Role of Artificial Intelligence (AI) in Education from the Perspective of Students of the College of Basic Education in the State of Kuwait. Journal of Educational Studies and Research, 1(1), 30-64.
Ahajjam, T., Moutaib, M., Aissa, H., Azrour, M., Farhaoui, Y., & Fattah, M. (2022). Predicting Students’ Final Performance Using Artificial Neural Networks. Big Data Mining and Analytics, 4, 294 –301.
Akinwalere, S. N., & Ivanov, V. (2022). Artificial Intelligence in Higher Education: Challenges and Opportunities. Border Crossing, 12(1), 1 -15.
Ben Farhat, J., & Ben Thamer, S. (2024). Prospects for Adopting Artificial Intelligence and Challenges of its Implementation. Al-Turath, 14(1), 95-118.
Chang, H., Liu, W., Chu, L., &Li, X. (2024). A Study on the Evaluation of AI’s Impact on University Students’ Learning Based on Data Analysis and Machine Learning. Highlights in Science, Engineering and Technology, 103, 485-495.Fassi, S., &Sabti, O. (2024). The Impact of Using Artificial Intelligence Technology (Chat GPT) on the Academic Achievement of University Students in the Context of the Knowledge Economy, A Field Study on a Sample of Students from the University of Algiers. Economic Studies, 18(1), 569-585.
Fassi, S., & Sabti, O. (2024). The Impact of Using Artificial Intelligence Technology (Chat GPT) on the Academic Achievement of University Students in the Context of the Knowledge Economy, A Field Study on a Sample of Students fromthe University of Algiers. Economic Studies, 18(1), 569-585.
Fazlollahi, A. M., Bakhaidar, M., Alsayegh, A., Yilmaz, R., Winkler-Schwartz, A., & Mirchi, N. (2022). Effect of Artificial Intelligence Tutoring vs Expert Instruction on Learning Simulated Surgical Skills Among Medical Students A Randomized Clinical Trial. AMA Network Open, 5(2), 1-15.
García-Martínez, I., Fernández-Batanero, J., Fernández-Cerero, J., & P. León, S. (2023). Analysing the Impact of Artificial Intelligence and Computational Sciences on Student Performance: Systematic Review and Meta-analysis. Journal of New Approaches in Educational Research, 12(1), 171-197.https://doi.org/10.7821/naer.2023.1.1240
Heba, S. G. (2023). Artificial Intelligence: Its Applications and Educational Risks (An Analytical Study). Journal of New Horizons in Adult Education, 33(33), 280-377.
MALLILLIN, L. L
Maia, J. Z., Bueno, A. A., & Sato, J. R. (2023). Applications of Artificial IntelligenceModels in Educational Analytics and Decision Making: A Systematic Review. World, 4, 288–313.MALLILLIN, L. L. (2024). Artificial Intelligence (Ai) Towards Students’ Academic Performance. innovare Journal of Education, 12(4), 16-21.
Mei, T., Yuan, L., &Li, C. (2024). A Review of Research on the Impact of Artificial Intelligence on Learning –Based on Citespace Knowledge Mapping Analysis. Scientific Journal of Intelligent Systems Research, 7(6), 10-17.
Ramo, R. M., Alshaher, A. A., & Al-Fakhry, N. A. (2022). The Effect of Using Artificial Intelligence on Learning Performance in Iraq: The Dual Factor Theory Perspective. Ingénierie des Systèmes d’Information, 27(2), 255-265.
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificialintelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(54), 1-23.https://doi.org/10.1186/s41239-021-00292-9
Singh, S. V., &Hiran, K. K. (2022). The Impact of AI on Teaching and Learning in Higher Education Technology. Journal of Higher Education Theory and Practice, 22(13), 135-148.https://doi.org/10.33423/jhetp.v22i13.5514
Sîrghi, N., Voicu, M.-C., Noja, G. G., & Socoliuc, O.-R. (2023). Challenges Of Artificial Intelligence On The Learning Process In Higher Education. Amfiteatru Economic, 26(65), 53-70.
Slimi, Z., & Carballido, B. V. (2023). Navigating the Ethical Challenges of Artificial Intelligence in Higher Education: AnAnalysis of Seven Global AI Ethics Policies. TEM Journal, 12(2), 590-602.
Wang, L. (2023). Artificial intelligence prediction of students’ grades and personalized student training mechanism based on campus behavior sequence modeling. Research Square Platform, 1-15.
Werghi, S. A. (2022). Contributions of Artificial Intelligence Outputs in Education and Teaching. Al-Rawaq, 770-787.

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