Dialogue-based tutoring at scale: Design and challenges

Maria Chang, Matthew Ventura, Jae Wook Ahn, Peter Foltz, Tengfei Ma, Tejas I. Dhamecha, Smit Marvaniya, Patrick Watson, Cassius D'helon, Amy Wetzel, Andy Packard Haas, Kaitlyn Banaszynski, John Behrens, Gailene Nelson, Sharad C. Sundararajan, Ravi Tejwani, Shazia Afzal, Nirmal Mukhi

Research output: Contribution to journalConference articlepeer-review

Abstract

In 2016, IBM and Pearson announced a partnership to deliver a next generation learning service in the form of a dialogue-based tutor. Dialogue-based tutoring systems have demonstrated efficacy, but they are difficult to design and scale across domains. We have developed a framework for enabling digital courseware with a dialogue-based tutoring experience that can be applied to new domains with additional domain-specific content, but without re-design of the conversation flow or use case. The framework uses a content model that's consistent across domains, which enables a general dialogue-based tutoring strategy. We identify several challenges to this approach, as well as recommendations for future work.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume2128
Publication statusPublished - 2018
Externally publishedYes
Event2018 Practitioner and Industrial Track at ICLS, RIPI-ICLS 2018 - London, United Kingdom
Duration: 26 Jun 201827 Jun 2018

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