Adaptive Empathy Learning Support in Peer Review Scenarios

Item Type Conference or Workshop Item (Paper)
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.
Authors Wambsganss, Thiemo; Söllner, Matthias; Koedinger, Kenneth & Leimeister, Jan Marco
Research Team IWI6
Journal or Publication Title ACM CHI Conference on Human Factors in Computing System (CHI)
Language English
Keywords Educational Applications, Writing Support Systems, Automated Feedback, Empathy Learning
Subjects information management
HSG Classification contribution to scientific community
Date 5 May 2022
Number of Pages 17
Event Title ACM CHI Conference on Human Factors in Computing System (CHI)
Event Location New Orleans, Louisiana, USA
Event Dates 30 Apr - 05 May
Publisher DOI https://doi.org/10.1145/3491102.3517740
Official URL https://programs.sigchi.org/chi/2022/program/conte...
Depositing User Dr. Mahei Li
Date Deposited 05 Mar 2022 13:27
Last Modified 20 Jul 2022 17:48
URI: https://www.alexandria.unisg.ch/publications/265977

Download

[img] Text (Adaptive Empathy Learning Support in Peer Review Scenarios)
JML_867.pdf

Download (5MB)

Citation

Wambsganss, Thiemo; Söllner, Matthias; Koedinger, Kenneth & Leimeister, Jan Marco: Adaptive Empathy Learning Support in Peer Review Scenarios. 2022. - ACM CHI Conference on Human Factors in Computing System (CHI). - New Orleans, Louisiana, USA.

Statistics

https://www.alexandria.unisg.ch/id/eprint/265977
Edit item Edit item
Feedback?