TECHNOVATE
Vol. 2 No. 4 (2025): October 2025

Artificial Competence: The Impact of Generative AI Dependency on Students' Critical Thinking and Problem-Solving Agility

Kherismawati, Ni Putu Eka (Unknown)
Suandana, Ni Putu Widantari (Unknown)



Article Info

Publish Date
30 Oct 2025

Abstract

The integration of Generative AI (GenAI) like ChatGPT into academic environments has promised unprecedented efficiency. However, a growing concern arises regarding "Artificial Competence"—a state where students produce high-quality outputs without possessing the corresponding cognitive mastery. This study investigates the correlation between GenAI dependency and the degradation of critical thinking skills among university students. Utilizing a quantitative approach with 30 respondents, the research measures "Cognitive Offloading" (the tendency to rely on external tools) against "Problem-Solving Agility" (ability to solve complex cases manually). The findings reveal a paradox: while GenAI users report higher confidence levels, their unassisted problem-solving scores are significantly lower than low-frequency users. The study identifies a "Hollow Skill Effect," where dependency on AI creates an illusion of competence, eroding the fundamental cognitive processes required for deep analysis and strategic decision-making.

Copyrights © 2025






Journal Info

Abbrev

technovate

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

Description

TECHNOVATE: Journal of Information Technology and Strategic Innovation Management is a scientific journal that publishes original articles based on the latest knowledge, research, and applied research as well as the latest scientific developments in Information Technology, Enterprise-Oriented ...