Between support and dependence: AI tool usage in university assignments — a case study at Souk Ahras University

As artificial intelligence (AI) tools become increasingly integrated into academic life, their impact on student learning is raising important questions for educators and institutions. This study investigates the dependence of students on AI tools for completing academic assignments, using the student population of Souk Ahras University as a case study. With the rise of AI-driven applications like Grammarly and ChatGPT, students have greater access to real-time feedback, content generation, and editing assistance. To understand the extent and nature of this dependence, a questionnaire was randomly distributed to a diverse sample of students across disciplines. The data collected sheds light on how frequently students rely on AI for academic tasks, the perceived benefits in terms of quality improvement, and potential downsides, particularly in relation to the erosion of critical thinking and independent problem-solving skills. The findings suggest that while AI tools enhance technical precision and efficiency, they also pose risks to the development of essential academic competencies, offering valuable insights for educators aiming to strike a balance between technological support and skill cultivation.

Authors

Institutions

Publication Details

Journal
South Florida Journal of Development
Published
2025-05-23
DOI
https://doi.org/10.46932/sfjdv6n5-098
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Between support and dependence: AI tool usage in university assignments — a case study at Souk Ahras University

Boumous Moufida, Sid Amira
1 citations
South Florida Journal of Development
AI in Service Interactions
2.48
article

Between support and dependence: AI tool usage in university assignments — a case study at Souk Ahras University

Boumous Moufida, Sid Amira
article en
1 citations

Abstract

As artificial intelligence (AI) tools become increasingly integrated into academic life, their impact on student learning is raising important questions for educators and institutions. This study investigates the dependence of students on AI tools for completing academic assignments, using the student population of Souk Ahras University as a case study. With the rise of AI-driven applications like Grammarly and ChatGPT, students have greater access to real-time feedback, content generation, and editing assistance. To understand the extent and nature of this dependence, a questionnaire was randomly distributed to a diverse sample of students across disciplines. The data collected sheds light on how frequently students rely on AI for academic tasks, the perceived benefits in terms of quality improvement, and potential downsides, particularly in relation to the erosion of critical thinking and independent problem-solving skills. The findings suggest that while AI tools enhance technical precision and efficiency, they also pose risks to the development of essential academic competencies, offering valuable insights for educators aiming to strike a balance between technological support and skill cultivation.

South Florida Journal of DevelopmentVol. 6(5)
Mohamed-Cherif Messaadia University (DZ)
Openalex Percentile: Top 10%
AI in Service Interactions
2.48
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.

Between support and dependence: AI tool usage in university assignments — a case study at Souk Ahras University — Boumous Moufida, Sid Amira · South Florida Journal of Development (2025) | TGRS Research Map | TGRS