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

Stefan Sonderegger, Sabine Seufert

2022

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.

Paper Citation

in Harvard Style

Sonderegger S. and Seufert S. (2022). Chatbot-mediated Learning: Conceptual Framework for the Design of Chatbot Use Cases in Education. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-562-3, pages 207-215. DOI: 10.5220/0010999200003182

in Bibtex Style

@conference{csedu22,
author={Stefan Sonderegger and Sabine Seufert},
title={Chatbot-mediated Learning: Conceptual Framework for the Design of Chatbot Use Cases in Education},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2022},
pages={207-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010999200003182},
isbn={978-989-758-562-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Chatbot-mediated Learning: Conceptual Framework for the Design of Chatbot Use Cases in Education
SN - 978-989-758-562-3
AU - Sonderegger S.
AU - Seufert S.
PY - 2022
SP - 207
EP - 215
DO - 10.5220/0010999200003182