Papers by Deliang Wang
On the Interpretability of Deep Learning Models for Collaborative Argumentation Analysis in Classrooms (2024.acl-srw)
Copied to clipboard
| Challenge: | Existing models for collaborative argumentation lack interpretability and teachers are skeptics about their use. |
| Approach: | They propose to use four explainable AI methods to provide models for automated analysis of argument moves and specificity levels within collaborative argumentation to cultivate trust among teachers. |
| Outcome: | The proposed models perform exceptionally well in analyzing word contributions and demonstrating that the models can be explained by a user-interface. |