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Authors: Safat Siddiqui 1 ; Mary Lou Maher 1 ; Nadia Najjar 1 ; Maryam Mohseni 1 and Kazjon Grace 2

Affiliations: 1 University of North Carolina at Charlotte, NC, U.S.A. ; 2 University of Sydney, Sydney, Australia

Keyword(s): Personalized Learning, Curiosity, Recommender Systems for Education, Computational Models of Novelty.

Abstract: Pique is an AI-based system for student directed learning that is inspired by a cognitive model of curiosity. Pique encourages self-directed learning by presenting a sequence of learning materials that are simultaneously novel and personalized to learners’ interests. Pique is a web-based application that applies computational models of novelty to encourage curiosity and to inspire learners’ intrinsic motivation to explore. We describe the architecture of the Pique system and its implementation in personalizing learning materials. In exploring the use of Pique by students in undergraduate and graduate courses in Computer Science, we have developed and implemented two computational models of novelty using Natural Language Processing techniques and concepts from recommender systems. In this paper, we describe the Pique model, the computational models for measuring novelty in text-based documents, and the computational models for generating sequences of personalized curiosity-eliciting l earning materials. We report the response from students in the use of Pique in four courses over two semesters. The contribution of this paper is a unique approach for personalized learning that encourages curiosity. (More)

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Paper citation in several formats:
Siddiqui, S.; Maher, M.; Najjar, N.; Mohseni, M. and Grace, K. (2022). Personalized Curiosity Engine (Pique): A Curiosity Inspiring Cognitive System for Student Directed Learning. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-562-3; ISSN 2184-5026, SciTePress, pages 17-28. DOI: 10.5220/0010883200003182

@conference{csedu22,
author={Safat Siddiqui. and Mary Lou Maher. and Nadia Najjar. and Maryam Mohseni. and Kazjon Grace.},
title={Personalized Curiosity Engine (Pique): A Curiosity Inspiring Cognitive System for Student Directed Learning},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2022},
pages={17-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010883200003182},
isbn={978-989-758-562-3},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 1: CSEDU
TI - Personalized Curiosity Engine (Pique): A Curiosity Inspiring Cognitive System for Student Directed Learning
SN - 978-989-758-562-3
IS - 2184-5026
AU - Siddiqui, S.
AU - Maher, M.
AU - Najjar, N.
AU - Mohseni, M.
AU - Grace, K.
PY - 2022
SP - 17
EP - 28
DO - 10.5220/0010883200003182
PB - SciTePress

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