Students' Perceived Roles, Opportunities, and Challenges of a Generative AI-powered Teachable Agent: A Case of Middle School Math Class
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Abstract (arXiv)
Ongoing advancements in Generative AI (GenAI) have boosted the potential of applying long-standing learning-by-teaching practices in the form of a teachable agent (TA). Despite the recognized roles and opportunities of TAs, less is known about how GenAI could create synergy or introduce challenges in TAs and how students perceived the application of GenAI in TAs. This study explored middle school students perceived roles, benefits, and challenges of GenAI-powered TAs in an authentic mathematics classroom. Through classroom observation, focus-group interviews, and open-ended surveys of 108 sixth-grade students, we found that students expected the GenAI-powered TA to serve as a learning companion, facilitator, and collaborative problem-solver. Students also expressed the benefits and challenges of GenAI-powered TAs. This study provides implications for the design of educational AI and AI-assisted instruction.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 76 references that are in the map. First posted on arXiv 26 Aug 2024.
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References · 9
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
- 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
- 2023Gender bias and stereotypes in Large Language Modelscited by 185
- 2023Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Educationcited by 41
- 2023Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Educationcited by 38
- 2019Human-Centered Artificial Intelligence and Machine Learningcited by 37
- 2023The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education?cited by 10
- 2024Generative AI in the Wild: Prospects, Challenges, and Strategiescited by 9
- 2022Nebula Graph: An open source distributed graph databasecited by 8
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