Demand Analysis for Developing Decision-Making Skills Among Chinese International Students Using the ChatGPT-Enhanced Decision Tree Learning Model

Abstract

This study evaluates the demand among Chinese international students for using the ChatGPT-enhanced Decision Tree Learning Model to improve decision-making skills. A survey of 101 students revealed key needs in decision analysis, cultural sensitivity, adaptability, and self-confidence. The results show a strong demand for cultural sensitivity training and integrating cultural perspectives, but weaker interest in understanding diverse values. Students showed a lower demand for problem breakdown and tool usage in systematic analysis skills. In adaptability, students focused more on adjusting communication and flexibility in dynamic environments. The greatest need for autonomy and self-confidence was for confidence-building and training for independent decision-making under pressure. Additionally, students expressed strong interest in using AI tools and decision tree frameworks, particularly for solving complex problems and improving decision efficiency. Based on these findings, the study recommends targeted educational approaches: customized cultural sensitivity training, systematic decision analysis tools, integration of AI and decision tree methods, adaptability training, and confidence-building programs. These elements provide valuable insights for developing effective educational methods to help students make better decisions in diverse and dynamic environments.

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Author Information
Yanli Miao, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Kanyarat Sriwisathiyakun, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Thanin Ratanaolarn, King Mongkut’s Institute of Technology Ladkrabang, Thailand