Adaptive Empathy Learning Support in Peer Review Scenarios
ACM CHI Conference on Human Factors in Computing System (CHI). - New Orleans, Louisiana, USA, 2022
Posted: 4 May 2022
Date Written: May 2, 2022
Abstract
Advances in Natural Language Processing offer techniques to de- tect the empathy level in texts. To test if individual feedback on certain students’ empathy level in their peer review writing pro- cess will help them to write more empathic reviews, we developed ELEA, an adaptive writing support system that provides students with feedback on the cognitive and emotional empathy structures. We compared ELEA to a proven empathy support tool in a peer review setting with 119 students. We found students using ELEA wrote more empathic peer reviews with a higher level of emotional empathy compared to the control group. The high perceived skill learning, the technology acceptance, and the level of enjoyment provide promising results to use such an approach as a feedback application in traditional learning settings. Our results indicate that learning applications based on NLP are able to foster empathic writing skills of students in peer review scenarios.
Keywords: Educational Applications, Writing Support Systems, Automated Feedback, Empathy Learning
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