Assessing the Impact of Artificial Intelligence on the Learning Process of Computer Science Students at Nangarhar University
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.
Authors
- Rahimullah Zirak
- Inamullah Miakhel
- Rokhanullah Rokhan
Institutions
- Kabul University (AF)
- University of Lagos (NG)
- Nangarhar University (AF)
Publication Details
- Journal
- Journal of Social Sciences & Humanities
- Published
- 2025-04-29
- DOI
- https://doi.org/10.62810/jssh.v2i2.30
- Citations
- 1
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 3.25