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Exploring Decision-Making Skills With the ChatGPT-Enhanced Decision Tree Interactive Learning Model

Year: 2025

Type: conference-paper

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

Source: Asian Conference on Education official conference proceedings/ACE

DOI: 10.22492/issn.2186-5892.2025.150

Authors: Yanli Miao, Kanyarat Sriwisathiyakun, Thanin Ratanaolarn

Institution: King Mongkut's Institute of Technology Ladkrabang

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4408409700