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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Veröffentlicht in: | Journal of King Saud University. Computer and information sciences 2020-10, Vol.32 (8), p.977-986 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 1319-1578 2213-1248 |
DOI: | 10.1016/j.jksuci.2018.10.008 |