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Curiosity Notebook: The Design of a Research Platform for Learning by Teaching

Ken Jen Lee, Apoorva Chauhan, Joslin Goh, Elizabeth S. Nilsen, Edith Law

2021Proceedings of the ACM on Human-Computer Interaction25 citationsDOIOpen Access PDF

Abstract

While learning by teaching is a popular pedagogical technique, it is a learning phenomenon that is difficult to study due to variability in the tutor-tutee pairings and learning environments. In this paper, we introduce the Curiosity Notebook, a web-based research infrastructure for studying learning by teaching via the use of a teachable agent. We describe and provide rationale for the set of features that are essential for such a research infrastructure, outline how these features have evolved over two design iterations of the Curiosity Notebook and through two studies---a 4-week field study with 12 elementary school students interacting with a NAO robot and an hour-long online observational study with 41 university students interacting with an agent---demonstrate the utility of our platform for making observations of learning-by-teaching phenomena in diverse learning environments. Based on these findings, we conclude the paper by reflecting on our design evolution and envisioning future iterations of the Curiosity Notebook.

Topics & Concepts

CuriosityTUTORComputer scienceField (mathematics)Set (abstract data type)Mathematics educationExperiential learningHuman–computer interactionPsychologyPure mathematicsProgramming languageMathematicsSocial psychologyAI in Service InteractionsPsychological and Educational Research StudiesSocial Robot Interaction and HRI
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