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Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education.

, , , и . CHI, стр. 652:1-652:28. ACM, (2024)

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Hong Jin

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Fangyi Jin

 

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Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education., , , и . CHI, стр. 652:1-652:28. ACM, (2024)Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop., , , , , , , , , и . L@S, стр. 559-562. ACM, (2024)Using Large Language Models To Diagnose Math Problem-solving Skills At Scale., , , , , и . L@S, стр. 471-475. ACM, (2024)CodeTree: A System for Learnersourcing Subgoal Hierarchies in Code Examples., и . Proc. ACM Hum. Comput. Interact., 8 (CSCW1): 1-37 (2024)Learnersourcing Subgoal Hierarchies of Code Examples., и . LSGCS@L@S, том 3410 из CEUR Workshop Proceedings, стр. 35-39. CEUR-WS.org, (2022)SolveDeep: A System for Supporting Subgoal Learning in Online Math Problem Solving., , и . CHI Extended Abstracts, ACM, (2019)automaTA: Human-Machine Interaction for Answering Context-Specific Questions., , , и . L@S, стр. 44:1-44:4. ACM, (2019)ProcessGallery: Contrasting Early and Late Iterations for Design Principle Learning., , , , , , и . Proc. ACM Hum. Comput. Interact., 8 (CSCW1): 1-35 (2024)When to Give Feedback: Exploring Tradeoffs in the Timing of Design Feedback., , , , , , , , и . Creativity & Cognition, стр. 292-310. ACM, (2024)