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

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 journal › Conference article › peer-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 language	English
Journal	CEUR Workshop Proceedings
Volume	2128
Publication status	Published - 2018
Externally published	Yes
Event	2018 Practitioner and Industrial Track at ICLS, RIPI-ICLS 2018 - London, United Kingdom Duration: 26 Jun 2018 → 27 Jun 2018

Cite this

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title = "Dialogue-based tutoring at scale: Design and challenges",

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.",

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

year = "2018",

language = "English",

volume = "2128",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

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}

TY - JOUR

T1 - Dialogue-based tutoring at scale

T2 - 2018 Practitioner and Industrial Track at ICLS, RIPI-ICLS 2018

AU - Chang, Maria

AU - Ventura, Matthew

AU - Ahn, Jae Wook

AU - Foltz, Peter

AU - Ma, Tengfei

AU - Dhamecha, Tejas I.

AU - Marvaniya, Smit

AU - Watson, Patrick

AU - D'helon, Cassius

AU - Wetzel, Amy

AU - Haas, Andy Packard

AU - Banaszynski, Kaitlyn

AU - Behrens, John

AU - Nelson, Gailene

AU - Sundararajan, Sharad C.

AU - Tejwani, Ravi

AU - Afzal, Shazia

AU - Mukhi, Nirmal

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85049856695

M3 - Conference article

AN - SCOPUS:85049856695

SN - 1613-0073

VL - 2128

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 26 June 2018 through 27 June 2018

ER -

Dialogue-based tutoring at scale: Design and challenges

Abstract

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