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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2020-10-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157818301307 |
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| Summary: | 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 |