吳培甄

Autistic characteristics vary with age and intelligence, but they have one thing in common–“deficits in social interaction ability”, the key reason for which is their lack of cognitive empathy as confirmed by many studies. Several studies also have confirmed that digital and adaptive learning is of great help to autism, therefore, this study aims to improve autistic students’ social interaction ability, thus developing a digital and adaptive empathy learning method as well as its implementation technology and system. For autistic students’ empathy defects, the study uses the TOPSIS multi-criteria decision making algorithm to plan course order, and provides adaptive personalized teaching content. Finally, it’s found through experiments that the digital and adaptive empathy learning method mentioned in this study can effectively improve autistic children’s capability to empathize effectively. Besides, the effectiveness of adaptive learning is better than that of non- adaptive for autistic children. While the two empathy learning strategies “Social Story ＆ Discrete Trial Teaching” and “Thought Bubble ＆ Story script” mentioned in this study really can effectively enhance their capability to empathize, and the former is much more effective than the latter. In addition, the study also confirmed that the improvement of autistic children’s capability to empathize really helps to enhance their social interaction ability.