Natural Language Communication with a Teachable Agent
Rachel Love (1), Edith Law (2), Philip R. Cohen (1, 3), Dana, Kuli\'c (1) ((1) Monash University, (2) University of Waterloo, (3), Openstream Inc)

TL;DR
This study explores how different natural language teaching methods to a virtual agent affect learning and engagement, finding that paraphrasing enhances both educational outcomes and emotional involvement.
Contribution
It introduces and compares two natural language teaching modalities to a virtual agent, demonstrating the benefits of paraphrasing for learning and engagement.
Findings
Paraphrasing improves learning outcomes.
Teaching via paraphrasing increases engagement.
Effort in paraphrasing correlates with better results.
Abstract
Conversational teachable agents offer a promising platform to support learning, both in the classroom and in remote settings. In this context, the agent takes the role of the novice, while the student takes on the role of teacher. This framing is significant for its ability to elicit the Prot\'eg\'e effect in the student-teacher, a pedagogical phenomenon known to increase engagement in the teaching task, and also improve cognitive outcomes. In prior work, teachable agents often take a passive role in the learning interaction, and there are few studies in which the agent and student engage in natural language dialogue during the teaching task. This work investigates the effect of teaching modality when interacting with a virtual agent, via the web-based teaching platform, the Curiosity Notebook. A method of teaching the agent by selecting sentences from source material is compared to a…
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Taxonomy
TopicsSocial Robot Interaction and HRI · AI in Service Interactions · Intelligent Tutoring Systems and Adaptive Learning
