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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Impact of Artificial Intelligence on the Learning Process of Computer Science Students at Nangarhar University

Rahimullah Zirak, Inamullah Miakhel, Rokhanullah Rokhan
1 citations
Journal of Social Sciences & Humanities
Internet of Things and AI
3.25
article

Assessing the Impact of Artificial Intelligence on the Learning Process of Computer Science Students at Nangarhar University

Rahimullah Zirak, Inamullah Miakhel, Rokhanullah Rokhan
article en
1 citations

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.

Journal of Social Sciences & HumanitiesVol. 2(2)
Kabul University (AF), University of Lagos (NG), Nangarhar University (AF)
Openalex Percentile: Top 9%
Internet of Things and AI
3.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.