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

  • Justin Edwards
  • , Andy Nguyen
  • , Marta Sobocinski
  • , Joni Lämsä
  • , Adelson De Araujo
  • , Belle Dang
  • , Ridwan Whitehead
  • , Anni Sofia Roberts
  • , Matti Kaarlela
  • , Sanna Jarvela

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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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.

Original languageEnglish
Title of host publicationProceedings of the 6th Conference on ACM Conversational User Interfaces, CUI 2024
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400705113
DOIs
Publication statusPublished - 8 Jul 2024
Event6th ACM Conference on Conversational User Interfaces, CUI 2024
- Luxembourg City, Luxembourg
Duration: 8 Jul 202410 Jul 2024
Conference number: 6

Conference

Conference6th ACM Conference on Conversational User Interfaces, CUI 2024
Abbreviated titleCUI 2024
Country/TerritoryLuxembourg
CityLuxembourg City
Period8/07/2410/07/24

Keywords

  • 2024 OA procedure
  • proactive agents
  • regulation of learning
  • speech agent
  • speech interfaces
  • collaborative learning

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