Teach Me How to Improve My Argumentation Skills: A Survey on Feedback in Argumentation
This work addresses the need for more constructive feedback in educational tools for students, but it is incremental as it surveys existing models without proposing new methods.
The survey examines how computational argumentation models can provide better feedback to improve users' critical thinking skills, focusing on dimensions like richness and personalization to enhance explanatory power.
The use of argumentation in education has been shown to improve critical thinking skills for end-users such as students, and computational models for argumentation have been developed to assist in this process. Although these models are useful for evaluating the quality of an argument, they oftentimes cannot explain why a particular argument is considered poor or not, which makes it difficult to provide constructive feedback to users to strengthen their critical thinking skills. In this survey, we aim to explore the different dimensions of feedback (Richness, Visualization, Interactivity, and Personalization) provided by the current computational models for argumentation, and the possibility of enhancing the power of explanations of such models, ultimately helping learners improve their critical thinking skills.