Cited by 29Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in EducationAI in Service Interactions

Chatbot-mediated Learning: Conceptual Framework for the Design of Chatbot Use Cases in Education

Open access
Sonderegger, Stefan, Seufert, Sabine·2022·Proceedings of the 14th International Conference on Computer Supported Education

Abstract

While chatbots or conversational agents are already common in many business areas, e.g. for customer support, their use in the education sector is still in its infancy. Chatbots might take over the role of a teacher, tutor, conversational partner, learning analyst, team member, support assistant, or recommender system. Within these different roles, chatbots can enhance learning and inherently address many requirements and success factors for learning. The scalability and adaptiveness of conversational AI allow an individualised learning support for all learners combined with collaboration opportunities and thus more equality in education. In this context, the paper at hand discusses this pedagogical potential of chatbots in different roles and social settings resulting in a conceptual framework for the understanding and design of chatbot use cases in education. Based on success factors for learning derived from established learning theories and reports, core attributes and goals of chatbot learning are deducted within three pedagogical domains of individual, social and analytic chatbot learning. By combining this pedagogical dimension with a technological and content dimension, the presented conceptual framework provides an overview of possibilities of how chatbots in education can be used and designed.

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Crossref · 10.5220/0010999200003182

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Authors
Sonderegger, S., & Seufert, S.
Affiliations
University of St.Gallen (CH)
Venue
Proceedings of the 14th International Conference on Computer Supported Education
Published
2022
Pages
207-215
OpenAlex
W4285195611
Cited by
29
References
40
Citations by year
2026: 2 · 2025: 10 · 2024: 9 · 2023: 8
FWCI
3.73
Type
conference paper
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • International Conference on Computer Supported Education (publishedVersion, cc-by-nc-nd)
  • Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
chatbots, educational chatbots, conceptual framework, personalized learning support, social learning, learning analytics

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