The integration of artificial intelligence (AI) in education has gained increasing attention, particularly in enhancing students’ ability to solve tasks in mathematics. This study investigates the effect of ChatGPT on university students’ performance in solving probability tasks. A case study methodology was used, involving five students who participated in a three-week experimental program. Participants completed a pre-test without AI assistance and a post-test with ChatGPT support. The primary objective was to evaluate whether ChatGPT significantly improves the accuracy of task completion across different levels of complexity. Results show a substantial improvement in students’ performance after AI intervention. The mean score rose from 7.80 (39.00%) in the pre-test to 14.10 (70.50%) in the posttest. Improvement was most notable in advanced-level tasks, where the success rate increased from 17.50% to 47.50%. Statistical analysis using repeated measures ANOVA confirmed a significant main effect of test phase (F = 9.529, p = 0.037), indicating that students achieved higher scores with ChatGPT. These findings show that AI-driven tools like ChatGPT are effective in helping students solve tasks in probability theory. The consistent improvement across task complexities highlights ChatGPT’s potential as a valuable educational aid, promoting deeper engagement with mathematical concepts.
Cite as:
Vehid Kurtić, Naida Bikić, Edina Kadrić Durmiš (2025) The impact of ChatGPT on students’ performance in solving probability tasks. Quality 2025 (S. Jašarević, editor), ISSN 1512-9268, Neum, B&H, 3-5 June 2025., pp. 349-354
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