Author Information
Yanli Miao, King Mongkut’s Institute of Technology Ladkrabang, ThailandKanyarat Sriwisathiyakun, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Thanin Ratanaolarn, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Abstract
This study explores the impact of the ChatGPT-enhanced Decision Tree Learning Model on the decision-making skills of Chinese international students. By integrating artificial intelligence with traditional decision tree methods, the model offers an interactive, personalized learning experience to help students navigate complex decision-making scenarios. The study involved 80 students from a university in Thailand, who were randomly assigned to either the experimental group using the ChatGPT model or the control group using traditional teaching methods. A pre-test and post-test design, along with self-assessment tools, were used to evaluate students' decision-making skills. The results showed significant improvements in the experimental group in terms of systematic thinking, autonomous adaptability, and feedback-driven optimization. These findings support the effectiveness of AI-driven models in enhancing key decision-making skills and are consistent with existing research on the role of technology in skill development. The study concludes that the ChatGPT-enhanced model is a valuable tool for developing decision-making abilities in international students, but further research is needed with extended interventions and diverse samples to explore its long-term impact and broader applicability.
Paper Information
Conference: ACE2024Stream: Teaching Experiences
This paper is part of the ACE2024 Conference Proceedings (View)
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To cite this article:
Miao Y., Sriwisathiyakun K., & Ratanaolarn T. (2025) Exploring Decision-Making Skills With the ChatGPT-Enhanced Decision Tree Interactive Learning Model ISSN: 2186-5892 – The Asian Conference on Education 2024: Official Conference Proceedings (pp. 1799-1808) https://doi.org/10.22492/issn.2186-5892.2025.150
To link to this article: https://doi.org/10.22492/issn.2186-5892.2025.150
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