Exploring Students’ Perceptions of Generative AI: Benefits, Challenges, and Academic Ethics

Key findings from this study

• The study found that students perceive GAI as enhancing academic efficiency and critical thinking while acknowledging privacy risks and information reliability concerns.
• The researchers demonstrate that high awareness of academic integrity persists despite students' recognition of GAI-related plagiarism potential.
• The study found that mobile accessibility of GAI presents opportunities for developing ubiquitous learning strategies that transcend temporal and spatial constraints of traditional classrooms.

Overview

A survey of 71 Library and Information Science students examined perceptions of generative AI usage in academic contexts. The study assessed perceived benefits, identified challenges, and evaluated academic integrity awareness among students actively using GAI for coursework.

Methods and approach

Researchers administered a survey using a 5-point Likert scale to 71 students from a Library and Information Science Program. Descriptive analysis of survey responses proceeded using SPSS software.

Results

Students identified substantial academic benefits from GAI, including facilitated task completion, improved time efficiency, enhanced language capabilities, and strengthened critical thinking development. Concurrently, students recognized significant risks: privacy concerns, unreliable information generation, and plagiarism potential.

Despite acknowledging these challenges, participants demonstrated strong awareness of academic integrity principles. Students emphasized the necessity of honesty and originality when integrating GAI into academic work. This suggests alignment between perceived risks and normative commitment to academic standards.

Implications

Educational institutions require adaptive policy frameworks that leverage GAI's productivity benefits while establishing safeguards against identified risks. Institutional responses must address privacy protection, information verification protocols, and plagiarism detection mechanisms appropriate to GAI-assisted work.

The mobile accessibility of GAI creates educational possibilities beyond conventional classroom structures. Learning strategies might evolve toward ubiquitous learning models enabling flexible temporal and spatial access. Such paradigm shifts demand corresponding institutional support through digital literacy training and updated academic conduct standards compatible with distributed learning environments.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.