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 |