Facilitator or hindrance? The impact of AI on university students' higher-order thinking skills in complex problem solving

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Publicado en:International Journal of Educational Technology in Higher Education vol. 22, no. 1 (Dec 2025), p. 39
Autor principal: Du, Xing
Otros Autores: Du, Mingcheng, Zhou, Zihan, Bai, Yiming
Publicado:
Springer Nature B.V.
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Acceso en línea:Citation/Abstract
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Resumen:Artificial Intelligence (AI) is increasingly permeating education, enhancing teaching efficiency and enriching personalized learning experiences. However, integrating AI without compromising students' independent thinking remains a challenge. Using ChatGPT-4o as an example, this study employed a within-subject experimental design to examine AI’s impact on university students' higher-order thinking skills (HOTS) and task outcomes in complex problem-solving. Based on the design problem context, the research constructed diverse task modules encompassing complex problem-solving processes, collected multidimensional data from 40 students, and analyzed using epistemic network analysis and consensus assessment techniques. The results indicate that AI slightly enhances the originality and usefulness of design sketches and significantly increases the number of HOTS used and the diversity of their interconnections. The study further categorizes students by their degree of AI influence, revealing that those more influenced by AI incorporate more personal thinking, use more HOTS, and exhibit richer interconnections among these skills. This research provides empirical evidence on AI's role in fostering HOTS and provides guidance on the integration of AI to enhance students' independent thinking in education.
ISSN:2365-9440
1698-580X
DOI:10.1186/s41239-025-00534-0
Fuente:Political Science Database