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Main Authors: Zhang, Zihan, Sun, Black, An, Pengcheng
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2501.09165
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author Zhang, Zihan
Sun, Black
An, Pengcheng
author_facet Zhang, Zihan
Sun, Black
An, Pengcheng
contents Classroom debates are a unique form of collaborative learning characterized by fast-paced, high-intensity interactions that foster critical thinking and teamwork. Despite the recognized importance of debates, the role of AI tools, particularly LLM-based systems, in supporting this dynamic learning environment has been under-explored in HCI. This study addresses this opportunity by investigating the integration of LLM-based AI into real-time classroom debates. Over four weeks, 22 students in a Design History course participated in three rounds of debates with support from ChatGPT. The findings reveal how learners prompted the AI to offer insights, collaboratively processed its outputs, and divided labor in team-AI interactions. The study also surfaces key advantages of AI usage, reducing social anxiety, breaking communication barriers, and providing scaffolding for novices, alongside risks, such as information overload and cognitive dependency, which could limit learners' autonomy. We thereby discuss a set of nuanced implications for future HCI exploration.
format Preprint
id arxiv_https___arxiv_org_abs_2501_09165
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Breaking Barriers or Building Dependency? Exploring Team-LLM Collaboration in AI-infused Classroom Debate
Zhang, Zihan
Sun, Black
An, Pengcheng
Human-Computer Interaction
Classroom debates are a unique form of collaborative learning characterized by fast-paced, high-intensity interactions that foster critical thinking and teamwork. Despite the recognized importance of debates, the role of AI tools, particularly LLM-based systems, in supporting this dynamic learning environment has been under-explored in HCI. This study addresses this opportunity by investigating the integration of LLM-based AI into real-time classroom debates. Over four weeks, 22 students in a Design History course participated in three rounds of debates with support from ChatGPT. The findings reveal how learners prompted the AI to offer insights, collaboratively processed its outputs, and divided labor in team-AI interactions. The study also surfaces key advantages of AI usage, reducing social anxiety, breaking communication barriers, and providing scaffolding for novices, alongside risks, such as information overload and cognitive dependency, which could limit learners' autonomy. We thereby discuss a set of nuanced implications for future HCI exploration.
title Breaking Barriers or Building Dependency? Exploring Team-LLM Collaboration in AI-infused Classroom Debate
topic Human-Computer Interaction
url https://arxiv.org/abs/2501.09165