Demand Analysis for Developing Decision-Making Skills Among Chinese International Students Using the ChatGPT-Enhanced Decision Tree Learning Model (88618)
Session Chair: Jialin Yan
Friday, 29 November 2024 09:40
Session: Session 1
Room: Live-Stream Room 4
Presentation Type: Live-Stream Presentation
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This study aims to assess the demand among Chinese international students for using the ChatGPT-enhanced Decision Tree Interactive Learning Model to improve their decision-making skills. This study surveyed 101 Chinese international students to assess their needs in decision-making skills and their demand for the ChatGPT-enhanced Decision Tree Interactive Learning Model while identifying the model's key components. The findings reveal the specific needs of Chinese international students in decision-making skills and the essential elements of the ChatGPT-enhanced Decision Tree Interactive Learning Model. These insights provide valuable guidance for developing customized educational models that better meet students' specific needs in decision-making skill enhancement and virtual tourism learning.
Authors:
Yanli Miao, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Kanyarat Sriwisathiyakun, King Mongkut’s Institute of Technology, Thailand
Thanin Ratanaolarn, King Mongkut’s Institute of Technology, Thailand
About the Presenter(s)
Ms. Yanli Miao is currently pursuing her PhD in Technology Enhanced Learning and Innovation at King Mongkut's Institute of Technology, Bangkok, Thailand. She is working at Shanxi Vocational University of Engineering Science and Technology, China.
See this presentation on the full schedule – Friday Schedule
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