A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software

This paper presents a novel cognitive diagnostic module which is incorporated in e-learning software for the tutoring of the markup language HTML. The system is responsible for detecting the learners’ cognitive bugs and delivering personalized guidance. The novelty of this approach is that it is bas...

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Autores principales:	Akrivi Krouska, Christos Troussas, Cleo Sgouropoulou
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	adaptive content diagnostic model error diagnosis learner experience personalized guidance repair theory Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/5a187daa0ec24a4b88a374ed1e60479f
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id	oai:doaj.org-article:5a187daa0ec24a4b88a374ed1e60479f
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spelling	oai:doaj.org-article:5a187daa0ec24a4b88a374ed1e60479f2021-11-25T17:17:23ZA Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software10.3390/computers101101402073-431Xhttps://doaj.org/article/5a187daa0ec24a4b88a374ed1e60479f2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-431X/10/11/140https://doaj.org/toc/2073-431XThis paper presents a novel cognitive diagnostic module which is incorporated in e-learning software for the tutoring of the markup language HTML. The system is responsible for detecting the learners’ cognitive bugs and delivering personalized guidance. The novelty of this approach is that it is based on the Repair theory that incorporates additional features, such as student negligence and test completion times, in its diagnostic mechanism; also, it employs a recommender module that suggests students optimal learning paths based on their misconceptions using descriptive test feedback and adaptability of learning content. Considering the Repair theory, the diagnostic mechanism uses a library of error correction rules to explain the cause of errors observed by the student during the assessment. This library covers common errors, creating a hypothesis space in that way. Therefore, the test items are expanded, so that they belong to the hypothesis space. Both the system and the cognitive diagnostic tool were evaluated with promising results, showing that they offer a personalized experience to learners.Akrivi KrouskaChristos TroussasCleo SgouropoulouMDPI AGarticleadaptive contentdiagnostic modelerror diagnosislearner experiencepersonalized guidancerepair theoryElectronic computers. Computer scienceQA75.5-76.95ENComputers, Vol 10, Iss 140, p 140 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	adaptive content diagnostic model error diagnosis learner experience personalized guidance repair theory Electronic computers. Computer science QA75.5-76.95
spellingShingle	adaptive content diagnostic model error diagnosis learner experience personalized guidance repair theory Electronic computers. Computer science QA75.5-76.95 Akrivi Krouska Christos Troussas Cleo Sgouropoulou A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software
description	This paper presents a novel cognitive diagnostic module which is incorporated in e-learning software for the tutoring of the markup language HTML. The system is responsible for detecting the learners’ cognitive bugs and delivering personalized guidance. The novelty of this approach is that it is based on the Repair theory that incorporates additional features, such as student negligence and test completion times, in its diagnostic mechanism; also, it employs a recommender module that suggests students optimal learning paths based on their misconceptions using descriptive test feedback and adaptability of learning content. Considering the Repair theory, the diagnostic mechanism uses a library of error correction rules to explain the cause of errors observed by the student during the assessment. This library covers common errors, creating a hypothesis space in that way. Therefore, the test items are expanded, so that they belong to the hypothesis space. Both the system and the cognitive diagnostic tool were evaluated with promising results, showing that they offer a personalized experience to learners.
format	article
author	Akrivi Krouska Christos Troussas Cleo Sgouropoulou
author_facet	Akrivi Krouska Christos Troussas Cleo Sgouropoulou
author_sort	Akrivi Krouska
title	A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software
title_short	A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software
title_full	A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software
title_fullStr	A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software
title_full_unstemmed	A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software
title_sort	cognitive diagnostic module based on the repair theory for a personalized user experience in e-learning software
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5a187daa0ec24a4b88a374ed1e60479f
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A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software

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