Generative AI-assisted Collaborative Argumentation: Implications for the Argumentation Process and Outcome
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.
Authors
- Xin Cui (ORCID: https://orcid.org/0000-0001-8689-7100)
- Wenping Liu (ORCID: https://orcid.org/0000-0002-9949-0972)
Institutions
- Jiangnan University (CN)
Publication Details
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1109/icet62460.2024.10868171
- Citations
- 2
- Primary Topic
- Innovative Teaching and Learning Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.58