Jan-Pan Hwang

National Chin-Yi University of Technology

Papers

Total Citations

H-Index

About

Dr. Jan-Pan Hwang is a researcher at the intersection of artificial intelligence and education, with a primary focus on developing dialogue systems for pedagogical applications. His most cited work, "Developing Chatbot with Deep Learning Techniques for Negotiation Course" (2019), employs recurrent neural networks (RNN/LSTM) to create a specialized chatbot for bargaining simulations. This contribution demonstrates how deep learning can enhance experiential learning by enabling students to practice negotiation skills through realistic, automated dialogues. With 5 citations, this paper represents a targeted but meaningful step in applying AI to course-specific training tools. Hwang's research addresses the practical challenge of scaling interactive learning environments, offering a proof-of-concept for integrating conversational agents into curricula. While his citation count is modest, his work is notable for its direct application in negotiation education, bridging the gap between cutting-edge natural language processing and classroom instruction. This achievement highlights his commitment to leveraging AI to create immersive, skill-building experiences for students, positioning him as a contributor to the growing field of educational technology and human-computer interaction.