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MAI - A Proactive Speech Agent for Metacognitive Mediation in Collaborative Learning

Published: 08 July 2024 Publication History

Abstract

We introduce MAI - a proactive speech agent aimed at enhancing metacognitive awareness among learners in collaborative learning settings. Background is presented around Socially Shared Regulation of Learning and the role of metacognition in learning. Next, the design of the rules that MAI uses to prompt learners and mediate metacognition are introduced. We describe the conditions in which MAI has been piloted thus far, including as a Wizard of Oz prototype and as a fully functional prototype using natural language processing. We discuss the ethical considerations that went into the prototyping and testing of MAI. Finally, we describe our next steps for understanding the interactions learners had with MAI already, planned design changes, and the future of testing the agent.

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Published In

cover image ACM Conferences
CUI '24: Proceedings of the 6th ACM Conference on Conversational User Interfaces
July 2024
616 pages
ISBN:9798400705113
DOI:10.1145/3640794
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 July 2024

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Author Tags

  1. collaborative learning
  2. proactive agents
  3. regulation of learning
  4. speech agent
  5. speech interfaces

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  • Work in progress
  • Research
  • Refereed limited

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CUI '24
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CUI '24: ACM Conversational User Interfaces 2024
July 8 - 10, 2024
Luxembourg, Luxembourg

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Overall Acceptance Rate 34 of 100 submissions, 34%

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