Associate Professor Department of Education (incl. Master's Program/Ph.D. Program), College of Education, University of Taipei Taipei, Taipei, Taiwan (Republic of China)
Session Abstract: This poster presentation explores the integration of AI learning companions in Business Ethics courses to address the need for real-time feedback, differentiated learning experiences, and personalized ethical decision-making. Drawing on findings from institutional research, it demonstrates how AI enhances course design by providing immediate analysis of students' decision-making data and supporting personalized learning experiences. This data-driven approach aligns with AACSB accreditation standards, ensuring continuous improvement in teaching effectiveness. Attendees will gain insights into (1) how AI supports data-driven decision-making and AACSB accreditation processes; (2) the role of AI in meeting students' needs for personalized and adaptive learning; and (3) practical strategies for implementing AI in institutional research and course design.
Keywords: generative AI, ethical decision-making support, business ethics, AACSB, dynamic data analysis
Contributing Authors: Chieh-Lun Hsieh – Department of Education – University of Taipei; Po-Wei Tsai – Associate professor, Department of Food Science, National Taiwan Ocean University
