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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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 |
work_keys_str_mv |
AT belgrounbrahim atracesbasedsystemhelpingtoassessknowledgelevelinelearningsystem AT admanelotfi atracesbasedsystemhelpingtoassessknowledgelevelinelearningsystem AT belgrounbrahim tracesbasedsystemhelpingtoassessknowledgelevelinelearningsystem AT admanelotfi tracesbasedsystemhelpingtoassessknowledgelevelinelearningsystem |
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