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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2020-10-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157818301307 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849308484040916992 |
|---|---|
| author | Belgroun Brahim Admane Lotfi |
| author_facet | Belgroun Brahim Admane Lotfi |
| author_sort | Belgroun Brahim |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-051b008f72244170b75fc70660c7ddfc |
| institution | Kabale University |
| issn | 1319-1578 |
| language | English |
| publishDate | 2020-10-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj-art-051b008f72244170b75fc70660c7ddfc2025-08-20T03:54:28ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782020-10-0132897798610.1016/j.jksuci.2018.10.008A 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 |
| 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 |
| title | 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_short | 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 |
| 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 |