# Breaking Barriers or Building Dependency? Exploring Team-LLM Collaboration in AI-infused Classroom Debate

arXiv: https://arxiv.org/abs/2501.09165 · HTML: https://mlsanity.com/paper/2501.09165/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 15 Jan 2025.

## Built on by (most cited first, 7 of 7)

- [Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey](https://mlsanity.com/paper/2505.03418/) (2025)
- [MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support](https://mlsanity.com/paper/2505.18056/) (2025)
- [Student Perceptions of Large Language Models Use in Self-Reflection and Design Critique in Architecture Studio](https://mlsanity.com/paper/2602.00041/) (2026)
- [Exploring Teachers' Perspectives on Using Conversational AI Agents for Group Collaboration](https://mlsanity.com/paper/2602.07142/) (2026)
- [Exploring How Agent Voice Accents Shape Human-AI Collaboration in K-12 Group Learning](https://mlsanity.com/paper/2606.12805/) (2026)
- [Developing and Validating the Spanish Version of the Large Language Models Dependency Scale (LLM-D12-SP)](https://mlsanity.com/paper/2607.22041/) (2026)
- [Artificial Intelligence and Modeling & Simulation: An Overview](https://mlsanity.com/paper/2608.00366/) (2026)

## Abstract (arXiv)

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.