OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 20.03.2026, 14:32

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

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

2026·0 Zitationen·Advances in Mobile Learning Educational ResearchOpen Access
Volltext beim Verlag öffnen

0

Zitationen

4

Autoren

2026

Jahr

Abstract

The emergence of Generative Artificial Intelligence (GAI) has transformed how students interact with technology in academic contexts. This study aims to explore students' perceptions of the benefits, challenges, and academic integrity related to GAI usage. The research was conducted through a survey involving 71 students from the Library and Information Science Program who have used GAI in their academic activities. Data was collected using a 5-point Likert scale and analyzed descriptively using SPSS software. The findings reveal that students perceive GAI as a tool that facilitates academic tasks, improves time efficiency, and enhances language and critical thinking skills. However, they also identify various challenges, including privacy risks, information reliability, and potential plagiarism. Despite these concerns, awareness of academic integrity remains high, with students emphasizing the importance of honesty and originality in utilizing this technology. These findings provide valuable insights for educational institutions in designing policies and learning strategies that maximize the benefits of GAI while mitigating its risks. This study is expected to serve as a foundation for developing digital literacy and academic policies that are more adaptive to technological advancements. Furthermore, the accessibility of GAI through mobile devices opens opportunities for the development of learning strategies by shifting the learning paradigm from conventional classrooms toward ubiquitous learning, enabling students to learn flexibly without the constraints of time and place.

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Artificial Intelligence in Healthcare and EducationAI in Service InteractionsOnline Learning and Analytics
Volltext beim Verlag öffnen