AN E-LEARNING MODEL FEATURING FACIAL EMOTION RECOGNITION AND REGULATION: MATHEMATIC LEARNING OF HIGH-FUNCTIONING AUTISM STUDENT AS AN EXAMPLE

H.C. Chu1, W. Tsai2, M.J. Liao3, W.K. Cheng2, Y.M. Chen2

1National University of Tainan, Department of Special Education (TAIWAN)
2National Chen Kung University, Manufacturing Information System (TAIWAN)
3National Chung-Cheng University, Department of Psychology (TAIWAN)
Improving the achievement of students, including students with disabilities, is a focus of educational reform in many countries. However, since students with autism learn differently from normally achieving students, especially in emotional factors, emotion-related assistance for students with autism spectrum disorder (ASD) is an important issue. This work proposed an e-learning model featuring emotion detection and regulation. Using a mathematical learning environment as an example, this work designed two scenarios, using the two e-learning scenarios: time limit contest and high difficulty learning, to observe participants’ mathematics learning performance and negative emotional behaviors. The effectiveness of the emotional regulation model proposed in this study was experimentally verified to decrease negative emotional behaviors and enhance mathematics learning performance of autistic students in an e-learning environment.