Generative AI-assisted Collaborative Argumentation: Implications for the Argumentation Process and Outcome
Abstract
With the rapid development of artificial intelligence technology, the field of education has undergone significant changes. In traditional collaborative argumentation, students often find it difficult to argue from multiple perspectives due to insufficient prior knowledge, and generative AI makes argumentation possible. The study invites university students to participate in online collaborative learning. A combination of quantitative and qualitative research methods is adopted, aiming to deeply analyze the impact of generative AI-assisted collaborative argumentation on the quality of argumentation and students' perceptions. The results of the study show that generative AI feedback not only promotes multi-perspective thinking, critical thinking, and organizational skills but also enhances students' confidence and motivation in argumentation. However, there is also the possibility of a lack of a sense of dialogue and an increase in student burden. The article verifies the effectiveness of generative AI in collaborative argumentation and provides new insights into its broader application in education.
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A significant number of studies employed rubrics and performance-based assessments to evaluate CT in students' outputs, including essays, chatbot interactions, and project submissions.
“A significant number of studies employed rubrics and performance-based assessments to evaluate CT in students' outputs, including essays, chatbot interactions, and project submissions [75,76,78,87,88].”
From A Systematic Literature Review on the Pedagogical Implications and Impact of GenAI on Students' Critical Thinking (2026) · cites this paper as [88]
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References 20 · Cited by 4
- Authors
- Liu, W., & Cui, X.
- Affiliations
- Jiangnan University (CN)
- ORCID
- Liu, Wenping
- Venue
- 2024 4th International Conference on Educational Technology (ICET)
- Publisher
- IEEE
- Published
- 2024-09-13
- Pages
- 220-225
- OpenAlex
- W4407213799
- Cited by
- 4
- References
- 20
- Citations by year
- 2026: 3 · 2025: 1
- FWCI
- 1.52
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Educational Technology (ICET) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Keywords
- generative AI, collaborative argumentation, AI-generated feedback, online collaborative learning, multi-perspective thinking, critical thinking, argument quality, student self-confidence, student motivation, student perceptions, university students
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