Abstract
This paper explores the feasibility of using conversational agents, or chatbots, in negotiated learner modelling. This approach aims to combine the motivational, intuitive and domain-independent benefits of natural language dialogue using a chatbot, with the opportunities for learner reflection and increased model accuracy that can be achieved through negotiation of the learner model contents. A Wizard-of-Oz paradigm allowed investigation into the interactions between learners and their learner model in order to highlight key issues for the design of a chatbot for this purpose. Users appreciated interacting with a chatbot, and found it useable and an aid to negotiation. The study suggested many avenues for future investigation of the role of conversational agents in facilitating user-system dialogue about learner understanding.
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Keywords
- Learner Model
- Intelligent Tutoring System
- Conversational Agent
- Learner Reflection
- British Psychological Society
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Kerly, A., Bull, S. (2006). The Potential for Chatbots in Negotiated Learner Modelling: A Wizard-of-Oz Study. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_44
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DOI: https://doi.org/10.1007/11774303_44
Publisher Name: Springer, Berlin, Heidelberg
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