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Adaptive Exercise Selection for an Intelligent Tutoring System

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Juliet OkpoAuthors Info & Claims

UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

Pages 313 - 316

https://doi.org/10.1145/2930238.2930369

Published: 13 July 2016 Publication History

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Abstract

This PhD project investigates how an Intelligent Tutoring System can adapt exercise selection to the personality of a learner. This paper provides an overview of the research area, research questions and work to date.

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Cited By

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Smith KDennis MMasthoff JTintarev N(2019)A methodology for creating and validating psychological stories for conveying and measuring psychological traitsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09219-629:3(573-618)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11257-019-09219-6

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Adaptive Exercise Selection for an Intelligent Tutoring System

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Information

Published In

UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

July 2016

366 pages

ISBN:9781450343688

DOI:10.1145/2930238

General Chairs:
Julita Vassileva
University of Saskatchewan, Canada
,
James Blustein
Dalhousie University, Canada
,
Program Chairs:
Lora Aroyo
VU Amsterdam, the Netherlands
,
Sidney D'Mello
University of Notre Dame, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 July 2016

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Conference

UMAP '16

Sponsor:

UMAP '16: User Modeling, Adaptation and Personalization Conference

July 13 - 17, 2016

Nova Scotia, Halifax, Canada

Acceptance Rates

UMAP '16 Paper Acceptance Rate 21 of 123 submissions, 17%;

Overall Acceptance Rate 162 of 633 submissions, 26%

Upcoming Conference

UMAP '25

Sponsor:
sigchi
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33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Cited By

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Smith KDennis MMasthoff JTintarev N(2019)A methodology for creating and validating psychological stories for conveying and measuring psychological traitsUser Modeling and User-Adapted Interaction10.1007/s11257-019-09219-629:3(573-618)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s11257-019-09219-6

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Index Terms

Recommendations

Conceptualizing a Framework for Adaptive Exercise Selection with Personality as a Major Learner Characteristic

Towards an Intelligent Tutoring System Architecturethat Supports Remedial Tutoring

Utilizing the Generalized Intelligent Framework for Tutoring to Encourage Self-Regulated Learning