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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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.
citing papers explorer
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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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"I can't read your mind": A Study of Neurodivergent Computing Students' Experiences with Collaborative Active Learning
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.