A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System

Today’s intelligent tutoring systems provide more intelligent but complex services to learners. These systems encounter two critical issues: 1) the initial lack of new learner’s information for running complex services, and 2) new learners failing to actively interact with these complex services due...

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Detalles Bibliográficos
Autores principales: Pian, Yang, Lu, Yu, Huang, Yuqi, Bittencourt, Ig Ibert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334724/
http://dx.doi.org/10.1007/978-3-030-52240-7_68
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author Pian, Yang
Lu, Yu
Huang, Yuqi
Bittencourt, Ig Ibert
author_facet Pian, Yang
Lu, Yu
Huang, Yuqi
Bittencourt, Ig Ibert
author_sort Pian, Yang
collection PubMed
description Today’s intelligent tutoring systems provide more intelligent but complex services to learners. These systems encounter two critical issues: 1) the initial lack of new learner’s information for running complex services, and 2) new learners failing to actively interact with these complex services due to the initial unfamiliarity. We define such issues as the “cold-start” problem in today’s intelligent tutoring systems, and propose a gamified solution to tackle it. By leveraging on the established MDA model, a three-layer framework with narrative elements and task-oriented elements is designed and implemented in an ITS for mathematics. The preliminary evaluations show its effectiveness, and the proposed solution is generally applicable to other ITS systems.
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spelling pubmed-73347242020-07-06 A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System Pian, Yang Lu, Yu Huang, Yuqi Bittencourt, Ig Ibert Artificial Intelligence in Education Article Today’s intelligent tutoring systems provide more intelligent but complex services to learners. These systems encounter two critical issues: 1) the initial lack of new learner’s information for running complex services, and 2) new learners failing to actively interact with these complex services due to the initial unfamiliarity. We define such issues as the “cold-start” problem in today’s intelligent tutoring systems, and propose a gamified solution to tackle it. By leveraging on the established MDA model, a three-layer framework with narrative elements and task-oriented elements is designed and implemented in an ITS for mathematics. The preliminary evaluations show its effectiveness, and the proposed solution is generally applicable to other ITS systems. 2020-06-10 /pmc/articles/PMC7334724/ http://dx.doi.org/10.1007/978-3-030-52240-7_68 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Pian, Yang
Lu, Yu
Huang, Yuqi
Bittencourt, Ig Ibert
A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
title A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
title_full A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
title_fullStr A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
title_full_unstemmed A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
title_short A Gamified Solution to the Cold-Start Problem of Intelligent Tutoring System
title_sort gamified solution to the cold-start problem of intelligent tutoring system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334724/
http://dx.doi.org/10.1007/978-3-030-52240-7_68
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