CHEN Ping-Kuo
   Department   Ritsumeikan Asia Pacific University  College of International Management
   Position   Professor
Language English
Publication Date 2025
Type Research paper (Academic/Professional Journal)
Peer Review Peer reviewed
Title How AIGC enhances the teaching quality of the guided-discovery teaching method: Driving factors and moderators.
Contribution Type Single Work
Journal The TQM Journal
Journal TypeAnother Country
Responsible for Sole author responsible for the entire research, including conceptualization, study design, analysis, and manuscript development
Authorship Lead author,Last author,Corresponding author
Author and coauthor Ping-Kuo A. CHEN
Original author(s) CHEN Ping-Kuo
Details 1. How AIGC Enhances the Teaching Quality of the Guided-Discovery Teaching Method: Driving Factors and Moderators investigates how artificial intelligence-generated content (AIGC) can enhance the quality of guided-discovery teaching. The study identifies key driving factors and moderating mechanisms that shape the effectiveness of AIGC-supported teaching, providing insights into the integration of generative AI into student-centered learning.

2. ABDC-B level, Scopus