Assessing the Impact of Artificial Intelligence on the Learning Process of Computer Science Students at Nangarhar University
Corresponding Author(s) : Rahimullah Zirak
Journal of Social Sciences and Humanities,
Vol. 2 No. 2 (2025): April
Abstract
Artificial intelligence (AI) has significantly transformed various sectors, particularly in education, where it has had a profound impact on the learning processes of Computer Science students. This study explores the effects of AI on students at Nangarhar University, specifically examining how AI tools enhance learning, academic progress, and professional development. A quantitative approach was employed, collecting data from 217 Computer Science students via a structured questionnaire. The findings reveal that 92.17% of students are familiar with AI, with ChatGPT being the most commonly used tool (88.48%). AI has notably improved students' learning experiences, particularly in areas like problem-solving (41.94%), resource searching (22.58%), professional knowledge enhancement (21.66%), and data analysis (12.44%). Most respondents (92.16%) reported improved learning experiences due to AI integration. AI fosters motivation, independent thinking, and stress management. However, challenges were identified, including reduced interest in traditional study methods (43.78%), diminished innovation (18.43%), concerns over data accuracy (17.05%), and privacy risks (4.61%). Despite these challenges, the overall sentiment toward AI is mainly positive, with students acknowledging its transformative role in education. The study concludes that while AI offers substantial benefits in enhancing learning, addressing the challenges and risks associated with its integration into the educational system is crucial to ensure its effective and responsible use.
Keywords
Download Citation
Endnote/Zotero/Mendeley (RIS)BibTeX
- Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., ... & Al-Maroof, R. S. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: Students' perceptions at the university level. Electronics, 11(22), 3662. https://doi.org/10.3390/electronics11203291
- Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., & Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: Students' perceptions at the university level. Electronics, 11(22), 3662. https://doi.org/10.3390/electronics11223662 DOI: https://doi.org/10.3390/electronics11223662
- Bobula, M. (2024). Generative artificial intelligence (AI) in higher education: A comprehensive review of challenges, opportunities, and implications. Journal of Learning Development in Higher Education, 30. DOI: https://doi.org/10.47408/jldhe.vi30.1137
- Castillo-Martínez, I. M.-B.-P.-L. (2024). AI in higher education: A systematic literature review. Frontiers Media SA, 9, 1391485. https://doi.org/10.3389/feduc.2024.1391485 DOI: https://doi.org/10.3389/feduc.2024.1391485
- Chen, L. J. (2020). Artificial intelligence in education: A review. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2020.2995368 DOI: https://doi.org/10.1109/ACCESS.2020.2988510
- Elmourabit, Z., & A. R.-e. (2024). The impact of generative artificial intelligence on education: A comparative study. European Conference on e-Learning. https://doi.org/10.34190/ecel.23.1.2975. DOI: https://doi.org/10.34190/ecel.23.1.2975
- Frechette, S. R. (2024). Assessing student perceptions of artificial intelligence within the Middle Georgia State University. Retrieved from.
- Geetha, A. B. (2024). Impact of artificial intelligence in learning process—With special reference to arts and science students. ResearchGate. https://www.researchgate.net/profile/A-Benazir/publication.
- García-Martínez, I., & M.-B.-C. (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. OI https://doi.org/10.7821/naer.2023.1.1240 DOI: https://doi.org/10.7821/naer.2023.1.1240
- Helen, C., &. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00392-8 DOI: https://doi.org/10.1186/s41239-023-00392-8
- Kong, S.-C., & M.-Y. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2021.100020 DOI: https://doi.org/10.1016/j.caeai.2021.100026
- Lu, Y. (2019). Artificial intelligence: A survey on evolution, models, applications, and future trends. Journal of Management Analytics. DOI:10.1080/23270012.2019.1570365. DOI: https://doi.org/10.1080/23270012.2019.1570365
- Slimi, Z. (2023). Impact of AI on higher education, focusing on its effects on teaching, learning, and the future workforce. European Journal of Educational Sciences, 10(1). https://doi.org/10.19044/ejes.v10no1a17 DOI: https://doi.org/10.19044/ejes.v10no1a24
References
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., ... & Al-Maroof, R. S. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: Students' perceptions at the university level. Electronics, 11(22), 3662. https://doi.org/10.3390/electronics11203291
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., & Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: Students' perceptions at the university level. Electronics, 11(22), 3662. https://doi.org/10.3390/electronics11223662 DOI: https://doi.org/10.3390/electronics11223662
Bobula, M. (2024). Generative artificial intelligence (AI) in higher education: A comprehensive review of challenges, opportunities, and implications. Journal of Learning Development in Higher Education, 30. DOI: https://doi.org/10.47408/jldhe.vi30.1137
Castillo-Martínez, I. M.-B.-P.-L. (2024). AI in higher education: A systematic literature review. Frontiers Media SA, 9, 1391485. https://doi.org/10.3389/feduc.2024.1391485 DOI: https://doi.org/10.3389/feduc.2024.1391485
Chen, L. J. (2020). Artificial intelligence in education: A review. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2020.2995368 DOI: https://doi.org/10.1109/ACCESS.2020.2988510
Elmourabit, Z., & A. R.-e. (2024). The impact of generative artificial intelligence on education: A comparative study. European Conference on e-Learning. https://doi.org/10.34190/ecel.23.1.2975. DOI: https://doi.org/10.34190/ecel.23.1.2975
Frechette, S. R. (2024). Assessing student perceptions of artificial intelligence within the Middle Georgia State University. Retrieved from.
Geetha, A. B. (2024). Impact of artificial intelligence in learning process—With special reference to arts and science students. ResearchGate. https://www.researchgate.net/profile/A-Benazir/publication.
García-Martínez, I., & M.-B.-C. (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. OI https://doi.org/10.7821/naer.2023.1.1240 DOI: https://doi.org/10.7821/naer.2023.1.1240
Helen, C., &. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-023-00392-8 DOI: https://doi.org/10.1186/s41239-023-00392-8
Kong, S.-C., & M.-Y. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2021.100020 DOI: https://doi.org/10.1016/j.caeai.2021.100026
Lu, Y. (2019). Artificial intelligence: A survey on evolution, models, applications, and future trends. Journal of Management Analytics. DOI:10.1080/23270012.2019.1570365. DOI: https://doi.org/10.1080/23270012.2019.1570365
Slimi, Z. (2023). Impact of AI on higher education, focusing on its effects on teaching, learning, and the future workforce. European Journal of Educational Sciences, 10(1). https://doi.org/10.19044/ejes.v10no1a17 DOI: https://doi.org/10.19044/ejes.v10no1a24