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Beyond prior knowledge: The predictive role of knowledge-building in Tutor Learning

arXiv 2508.18545 ↗First posted 25 Aug 2025cs.HC cs.AIcited by 0

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Abstract (arXiv)

When adopting the role of a teacher in learning-by-teaching environments, students often struggle to engage in knowledge-building activities, such as providing explanations and addressing misconceptions. Instead, they frequently default to knowledge-telling behaviors, where they simply dictate what they already know or what to do without deeper reflection, thereby limiting learning. Teachable agents, particularly those capable of posing persistent follow-up questions, have been shown to encourage students (tutors) to shift from knowledge-telling to knowledge-building and enhance tutor learning. Tutor learning encompasses two interrelated types of knowledge: conceptual and procedural knowledge. Research has established a bidirectional relationship between these knowledge types, where improvements in one reinforce the other. This study investigates the role of knowledge-building in mediating the bidirectional relationship between procedural and conceptual learning. Our findings revealed a stable bidirectional relationship between procedural and conceptual knowledge, with higher post-test scores observed among students who engaged in knowledge-building, regardless of their procedural and conceptual pre-test performance. This suggests that knowledge-building serves as a crucial mechanism bridging the gap between students with low prior knowledge and higher conceptual and procedural learning gain.

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References · 7

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2021Generated Knowledge Prompting for Commonsense Reasoningcited by 213
  3. 2022Impact of Pretraining Term Frequencies on Few-Shot Reasoningcited by 142
  4. 2023Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Educationcited by 38
  5. 2023How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debuggingcited by 29
  6. 2021Curiosity Notebook: The Design of a Research Platform for Learning by Teachingcited by 6
  7. 2023Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanationscited by 2

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