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

See all articles by Thiemo Wambsganss

Thiemo Wambsganss

University of St. Gallen

Matthias Söllner

University of Kassel - Information Systems

Kenneth Koedinger

Carnegie Mellon University

J. M. Leimeister

University of St. Gallen; University of Kassel - Information Systems

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

Suggested Citation

Wambsganss, Thiemo and Söllner, Matthias and Koedinger, Kenneth and Leimeister, Jan Marco, Adaptive Empathy Learning Support in Peer Review Scenarios (May 2, 2022). ACM CHI Conference on Human Factors in Computing System (CHI). - New Orleans, Louisiana, USA, 2022, Available at SSRN: https://ssrn.com/abstract=4050531

Thiemo Wambsganss

University of St. Gallen ( email )

Varnbuelstr. 14
Saint Gallen, St. Gallen CH-9000
Switzerland

Matthias Söllner

University of Kassel - Information Systems ( email )

Pfannkuchstraße 1
Kassel, 34121
Germany

Kenneth Koedinger

Carnegie Mellon University ( email )

Pittsburgh, PA 15213-3890
United States

Jan Marco Leimeister (Contact Author)

University of St. Gallen ( email )

Varnbuelstr. 14
Saint Gallen, St. Gallen CH-9000
Switzerland

University of Kassel - Information Systems ( email )

Pfannkuchstraße 1
Kassel, 34121
Germany

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
155
PlumX Metrics