Conference paper 2025

Debates Using ChatGPT: Formats and Impact on Students' Cognitive and Affective Perceptions in the Pedagogical Course

ZF
Zakirova, Feruza Makhmudovna
 PS
Pozilova, Shakhnoza Khaidaralievna
 NG
Nazirova, Guzal
 ZM
Zakirova, Madina
2025 11th International Conference on Education and Training Technologies, ICETT 2025
Conference · pp. 40-44
Abstract

This study aims to explore the impact of ChatGPT on students' perceptions during debates in a pedagogical course. The authors developed four innovative formats of in-class debate involving ChatGPT, where artificial intelligence acts as a consultant, an opponent, an expert or combined roles. Data was collected from a survey of 84 students of four academic groups and statistically analyzed using CAP Perceived Learning Scale. Results of the study was explorer with analyze ANOVA. Findings reveal that using ChatGPT-3.5 as an opponent and an expert has the most profound impact on student’s cognitive and affective perceptions, opening new opportunities for fostering critical thinking and active learning. The study provides evidence-based recommendations for effectively integrating artificial intelligence into teaching and learning. ©2025 IEEE.

Keywords

Author Keywords

Higher education Artificial intelligence Perceptions affective learning cognitive learning debate

Index Keywords

Teaching Curricula High educations Education computing Students artificial intelligence Student perceptions Active learning Critical thinking Affective learning Cognitive learning Debate In-class debates Pedagogical course Perceived learning
Author Affiliations
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan
Funding & Acknowledgements
No funding information
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