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.

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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
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article

Generative AI-assisted Collaborative Argumentation: Implications for the Argumentation Process and Outcome

Xin Cui, Wenping Liu
2 citations
Innovative Teaching and Learning Methods
1.58
article

Generative AI-assisted Collaborative Argumentation: Implications for the Argumentation Process and Outcome

Xin Cui, Wenping Liu
article en
2 citations

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.

Jiangnan University (CN)
Openalex Percentile: Top 14%
Innovative Teaching and Learning Methods
1.58
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