A traces based system helping to assess knowledge level in e-learning system

Given that knowledge level is one of most important aspects of e-learning platforms. Learners’ Interaction traces give very important information that describes their behavior when using e-learning platforms. Assessment of knowledge level can be completed by indicators related to interaction dimensi...

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Bibliographic Details
Main Authors: Belgroun Brahim, Admane Lotfi
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
TBS
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157818301307
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spelling doaj-051b008f72244170b75fc70660c7ddfc2020-11-25T03:47:12ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782020-10-01328977986A traces based system helping to assess knowledge level in e-learning systemBelgroun Brahim0Admane Lotfi1Corresponding author.; LMCS Laboratory, Ecole nationale Supérieure d'Informatique, BP 68M, 16309, Oued-Smar, Alger, AlgérieLMCS Laboratory, Ecole nationale Supérieure d'Informatique, BP 68M, 16309, Oued-Smar, Alger, AlgérieGiven that knowledge level is one of most important aspects of e-learning platforms. Learners’ Interaction traces give very important information that describes their behavior when using e-learning platforms. Assessment of knowledge level can be completed by indicators related to interaction dimension (learner-learner or learner-system). Several methods have been developed in order to assess this attribute. Interaction traces analysis is one of most assessing tools used in e-learning applications. This paper deals with learning knowledge level assessment in e-learning platform. We propose a TBS (trace-based system) helping observers to assess this attribute.http://www.sciencedirect.com/science/article/pii/S1319157818301307TBSAssessmentInteraction tracesModeled traceIndicatorCriteria
collection DOAJ
language English
format Article
sources DOAJ
author Belgroun Brahim
Admane Lotfi
spellingShingle Belgroun Brahim
Admane Lotfi
A traces based system helping to assess knowledge level in e-learning system
Journal of King Saud University: Computer and Information Sciences
TBS
Assessment
Interaction traces
Modeled trace
Indicator
Criteria
author_facet Belgroun Brahim
Admane Lotfi
author_sort Belgroun Brahim
title A traces based system helping to assess knowledge level in e-learning system
title_short A traces based system helping to assess knowledge level in e-learning system
title_full A traces based system helping to assess knowledge level in e-learning system
title_fullStr A traces based system helping to assess knowledge level in e-learning system
title_full_unstemmed A traces based system helping to assess knowledge level in e-learning system
title_sort traces based system helping to assess knowledge level in e-learning system
publisher Elsevier
series Journal of King Saud University: Computer and Information Sciences
issn 1319-1578
publishDate 2020-10-01
description Given that knowledge level is one of most important aspects of e-learning platforms. Learners’ Interaction traces give very important information that describes their behavior when using e-learning platforms. Assessment of knowledge level can be completed by indicators related to interaction dimension (learner-learner or learner-system). Several methods have been developed in order to assess this attribute. Interaction traces analysis is one of most assessing tools used in e-learning applications. This paper deals with learning knowledge level assessment in e-learning platform. We propose a TBS (trace-based system) helping observers to assess this attribute.
topic TBS
Assessment
Interaction traces
Modeled trace
Indicator
Criteria
url http://www.sciencedirect.com/science/article/pii/S1319157818301307
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