AI AS A NEW ACADEMIC ALLY: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON STUDENTS' LEARNING HABITS

Violeta Cvetkoska (), Filip Peovski (), Gjore Gakjev (), Binela Karamaleska (), Elena Avramovikj (), Lina Taneska () and Aleksandra Peshova ()
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Violeta Cvetkoska: Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia
Filip Peovski: Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia
Gjore Gakjev: Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia
Binela Karamaleska: Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia
Elena Avramovikj: Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia
Lina Taneska: Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia
Aleksandra Peshova: Faculty of Economics-Skopje, Ss. Cyril and Methodius University in Skopje, North Macedonia

No 8, Proceedings of the 5th International Conference "Economic and Business Trends Shaping the Future" 2024 from Faculty of Economics-Skopje, Ss Cyril and Methodius University in Skopje

Abstract: This study investigates the adoption and usage of ChatGPT by college students in educational settings. The analysis uses a four-stage business analytics framework to look at usage, trust, confidence, motivation, acceptance, and verification patterns using survey data from 203 respondents in a variety of disciplines. The findings highlight ChatGPT's function as a tool for improving comprehension and self-assurance by demonstrating that the three strongest predictors of frequent use are understanding, trust, and confidence. The tension between critical evaluation and reliance on AI is highlighted by the fact that motivation plays a secondary role, and verification is largely irrelevant and negatively associated with trust. According to the research, generative AI works best when viewed as an academic ally that promotes learning and introspection rather than taking the place of critical thinking. The study provides context-bound findings that inform hypotheses for larger cross-institutional and cross-national research because of its single-country sample. The paper highlights recommendations to universities to foster AI literacy, safeguard the crucial academic integrity, and integrate ChatGPT into teaching practices responsibly and effectively.

Keywords: Artificial Intelligence; ChatGPT; Learning habits; Business analytics; Higher education (search for similar items in EconPapers)
JEL-codes: C83 I21 M15 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2025-12-15
New Economics Papers: this item is included in nep-edu and nep-pke
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