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Related Experiment Video

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Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
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Agent-Supported Peer Collaboration in MOOCs.

Stergios Tegos1, Apostolos Mavridis1, Stavros Demetriadis1

  • 1Software and Interactive Technologies Lab, School of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Frontiers in Artificial Intelligence
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Summary
This summary is machine-generated.

PeerTalk enhances online learning by facilitating real-time collaboration in massive open online courses (MOOCs). Its conversational agent scaffolds student interaction and supports instructors, improving the educational experience.

Keywords:
MOOCcollaborative learningconversational agentinteractionsupport

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Area of Science:

  • Educational Technology
  • Human-Computer Interaction
  • Online Learning

Background:

  • Massive Open Online Courses (MOOCs) face challenges in scaling collaborative learning activities due to limited human support and uncertainty about meaningful learner interactions.
  • Integrating real-time collaborative activities in large online courses requires robust systems to manage interaction and provide guidance.
  • Existing platforms often lack effective mechanisms to foster deep engagement and scaffold peer-to-peer learning effectively.

Purpose of the Study:

  • To present the architecture of PeerTalk, a prototype system designed to facilitate real-time collaborative learning in MOOCs.
  • To introduce a configurable conversational agent service within PeerTalk to scaffold student collaboration and provide instructor-guided support.
  • To evaluate the user acceptance, efficiency, and usability of the PeerTalk system among MOOC instructors and postgraduate students.

Main Methods:

  • Developed the architecture for the PeerTalk system, integrating a conversational agent service.
  • Conducted two user studies: one with MOOC instructors (experts) and another with 44 postgraduate students.
  • Collected data on system efficiency, usability, and user acceptance through evaluation studies.

Main Results:

  • The PeerTalk system demonstrated encouraging efficiency and usability levels in both expert and student evaluations.
  • The conversational agent service showed potential for effectively scaling teaching staff support in online learning environments.
  • The system's architecture is suitable for integration into MOOC platforms to enhance social interaction among learners.

Conclusions:

  • PeerTalk offers a viable solution for incorporating real-time collaborative learning activities into MOOCs.
  • The integrated conversational agent can significantly enhance the scalability of support for online courses.
  • The system holds promise for fostering more valuable social interactions and improving the collaborative learning experience in large-scale online education.