An LLM acting as a teachable student for vocabulary learning by teaching produced better retention than traditional methods in a 10-person study at 3- and 7-day follow-ups.
Association for Computing Machinery, New York, NY, USA, 1223–1229
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GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
Survey and interview study finds neurodivergent computing students prefer structured collaborative active learning with small teams and explicit roles.
A participatory workshop showed teens developing technical and socio-ethical understandings while constructing small generative LMs, offering evidence and a theory-backed framing for studying novice AI comprehension.
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Empowering Vocabulary Learning Through Teaching AI: Using LLMs as a Student to Perform Learning by Teaching in Vocabulary Acquisition
An LLM acting as a teachable student for vocabulary learning by teaching produced better retention than traditional methods in a 10-person study at 3- and 7-day follow-ups.
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GenAI produced larger self-efficacy gains but noticeably lower learning outcomes than live tutoring, with visualizations underused and GenAI facing barriers on advanced topics.
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Survey and interview study finds neurodivergent computing students prefer structured collaborative active learning with small teams and explicit roles.
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Building to Understand: Examining Teens' Technical and Socio-Ethical Pieces of Understandings in the Construction of Small Generative Language Models
A participatory workshop showed teens developing technical and socio-ethical understandings while constructing small generative LMs, offering evidence and a theory-backed framing for studying novice AI comprehension.