Path: Top -> Journal -> Jurnal Internasional -> King Saud University -> 2020 -> Volume 32, Issue 8, October
A traces based system helping to assess knowledge level in e-learning system
Oleh : Belgroun Brahim, Admane Lotfi, King Saud University
Dibuat : 2021-08-07, dengan 0 file
Keyword : TBS, Assessment, Interaction traces, Modeled trace, Indicator, Criteria, Knowledge level
Url : http://www.sciencedirect.com/science/article/pii/S1319157818301307
Sumber pengambilan dokumen : Web
Given that knowledge level is one of most important aspects of e-learning platforms. LearnersÂ’ 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.
Deskripsi Alternatif :Given that knowledge level is one of most important aspects of e-learning platforms. LearnersÂ’ 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.
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