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As Large-Scale Language Models (LLMs) continue to evolve, they demonstrate significant enhancements in performance and an expansion of functionalities, impacting various domains, including education.
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Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today
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A sociotechnical perspective for the future of AI: narratives, inequalities, and human control
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Factuality Challenges in the Era of Large Language Models
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Evaluating the effectiveness of artificial intelligence–powered large language models application in disseminating appropriate and readable health information in urology
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ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions
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Repair is nearly generation: Multilingual program repair with llms. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 37. 5131–5140
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Teachers, Parents, and Students’ perspectives on Integrating Generative AI into Elementary Literacy Education. In Proceedings of the CHI Conference on Human Factors in Computing Systems (<conf-loc>, <city>Honolulu</city>, <state>HI</state>, <country>USA</country>, </conf-loc>) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 678, 17 pages
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Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education. In Proceedings of the CHI Conference on Human Factors in Computing Systems (<conf-loc>, <city>Honolulu</city>, <state>HI</state>, <country>USA</country>, </conf-loc>) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 652, 28 pages
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CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs. In Proceedings of the CHI Conference on Human Factors in Computing Systems (<conf-loc>, <city>Honolulu</city>, <state>HI</state>, <country>USA</country>, </conf-loc>) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 650, 20 pages
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AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (<conf-loc>, <city>Honolulu</city>, <state>HI</state>, <country>USA</country>, </conf-loc>) (CHI ’24) . Association for Computing Machinery, New York, NY, USA, Article 1050, 17 pages
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Reacting to Generative AI: Insights from Student and Faculty Discussions on Reddit
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Kai-Fu Lee and Chen Qiufan. 2021 · 2041
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