How To Repeat Hints: Improving AI-Driven Help In Open-Ended Learning Environments

Conference Paper/Proceedings

Publication Year:

2023

Publication Source:

Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics)

Volume:

13916 LNAI

Funding Type:

ECR:Core

Author(s):

Lallé, Sébastien; Yalçın, Özge Nilay; Conati, Cristina

Supporting Project(s):

2201796

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. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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