Title: Effect of artificial intelligence-supported web technologies on the creative and reflective thinking skills of preservice teachers

Authors: Cengiz Gündüzalp

Addresses: Department of Computer Technologies, Kafkas University, Kars, Turkey

Abstract: The study aimed to reveal the effectiveness of using artificial intelligence-supported web technology in lessons on preservice teachers' creative and reflective thinking skills. The study used a convergent parallel design, one of the mixed-method techniques. The study employed an independent sample t-test and repeated measures ANOVA test while analysing the collected quantitative data; however, it used the content analysis method for the qualitative data analysis. Accordingly, the study findings revealed that the artificial intelligence-supported web technologies used in lessons resulted in no significant difference between students' in-group and intergroup scores regarding their creative and reflective thinking skills. Considering their opinions, many of the students expressed that artificial intelligence technologies were ineffective in developing their creative and reflective thinking skills. In conclusion, the study findings indicated that using artificial intelligence-supported web technologies in lessons did not significantly affect students' creative and reflective thinking skills.

Keywords: artificial intelligence; creative thinking; reflective thinking; web technologies.

DOI: 10.1504/IJTEL.2026.155135

International Journal of Technology Enhanced Learning, 2026 Vol.18 No.3, pp.270 - 308

Received: 18 Oct 2024
Accepted: 05 Feb 2025
Published online: 28 Jul 2026 *

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