Chao-Rong Chen

National Taipei University of Technology

Papers

Total Citations

H-Index

About

Chao-Rong Chen is a leading researcher at the intersection of artificial intelligence, educational technology, and emotional computing. His work focuses on integrating anticipatory computing and big data analytics to enhance sustainable learning efficiency and motivation. Chen’s most cited paper, “ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation” (2020, 56 citations), exemplifies his innovative approach. In this study, he demonstrates how AI-driven teaching robots, guided by the ARCS (Attention, Relevance, Confidence, Satisfaction) motivation model, can analyze emotional big data to personalize learning experiences. This work has significant implications for adaptive education systems, offering a framework for improving student engagement through real-time emotional feedback. Chen’s research contributes to the growing field of human-computer interaction, particularly in designing empathetic learning environments. His achievements highlight the potential of anticipatory computing to transform education, making him a notable figure in AI-assisted pedagogy. With a focus on practical applications, Chen’s work continues to influence how educators and technologists approach sustainable learning in the digital age.