Chair Professor Yueh-Min Huang from the Department of Engineering Science, Taiwan Cheng Kung University gave online lecture to faculty and students of the Department of Educational Technologies, Nanjing Normal University on May 29, 2020. Chair Professor Yueh-Min Huang received his bachelor degree from Taiwan Cheng Kung University and his master and doctoral degrees from University of Arizona, Tucson, USA. His research interest includes educational technology, internet networking and embedded systems. He published more than 240 papers indexed by SSCI/SCI and his publications received more than 6,500 citations in recent 5 years. For his excellent academic and research performance he was awarded outstanding Research Award by Taiwan Ministry of Science and Technology (Top 100 researchers in Taiwan) twice in 2011 and 2013.
Chair Professor Yueh-Min Huang gave online lecture using zoom application and the topic of the lecture was “Affective Learning and Pedagogy using Affective Computing.” In the lecture, Chair Professor Yueh-Min Huang discussed how emotions influence learning, explained what is affection, affective learning and computer-assisted affective learning concepts. After that, he talked about research framework of affective computing in education studies and how to recognize a learner’s emotional state using various technological tools. Chair Professor Yueh-Min Huang gave many examples, including those from his research laboratory, for example, students under his supervision developed Multi-sensor technology - Pulse oximeter + Blood Volume Pulse and Multi-sensor technology - Sitting posture to measure emotional state of learners during learning process in classroom and outside. After that, he presented research work done by him and his colleagues. For example, his research team recently completed one case study about understanding the relationship between physiological signals and digital game-based learning outcome and another one about rewarding with applause sound during computerized test. Finally, the participants asked him questions about his speech. For example, some students were curious about whether the process of measuring emotional state of learners using different technological tools may influence learners’ emotions, and thus, create bias in the measurement data.