Teach Me How to Improve My Argumentation Skills: A Survey on Feedback in Argumentation
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 26 of its 85 references that are in the map. First posted on arXiv 28 Jul 2023.
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References · 26
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14 more
- 2021Argument Undermining: Counter-Argument Generation by Attacking Weak Premisescited by 22
- 2022Socratic Pretraining: Question-Driven Pretraining for Controllable Summarizationcited by 17
- 2022A survey on improving NLP models with human explanationscited by 15
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- 2022"Mama Always Had a Way of Explaining Things So I Could Understand'': A Dialogue Corpus for Learning to Construct Explanationscited by 6
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