How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments - Archive ouverte HAL Access content directly
Conference Papers Year : 2023

How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments

Abstract

AI-driven personalized support can help students learn from Open-Ended Learning Environments (OELEs). In this paper, we focus on how to effectively provide repeated hints in OELEs, when students repeat a sub-optimal behavior after receiving a hint on how to recover from the first occurrence of the behavior. We formally compare two repeated hint designs in UnityCT, an OELE that fosters Computational Thinking (CT) via free-form game design in K-6 education, with the long-term goal of providing AI-driven personalized hints.
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Thursday, June 27, 2024
Embargoed file
Thursday, June 27, 2024
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hal-04142461 , version 1 (27-06-2023)

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Sébastien Lallé, Özge Nilay Yalçın, Cristina Conati. How to Repeat Hints: Improving AI-Driven Help in Open-Ended Learning Environments. 24th International Conference on Artifical Intelligence in Education (AIED) 2023, Jul 2023, Tokyo, Japan. pp.760-766, ⟨10.1007/978-3-031-36272-9_68⟩. ⟨hal-04142461⟩
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