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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Doctor, F. Iqbal, R. |
| Copyright Year | 2012 |
| Description | Author affiliation: Intelligent Information Modelling and Retrieval Group, Faculty of Engineering and Computing, Coventry University, UK (Doctor, F.; Iqbal, R.) |
| Abstract | Monitoring students' activity and performance is vital to enable educators to provide effective teaching and learning in order to better engage students with the subject and improve their understanding of the material being taught. We describe the use of a fuzzy Linguistic Summarisation (LS) technique for extracting linguistically interpretable scaled fuzzy weighted rules from student data describing prominent relationships between activity / engagement characteristics and achieved performance. We propose an intelligent framework for monitoring individual or group performance during activity and problem based learning tasks. The system can be used to more effectively evaluate new teaching approaches and methodologies, identify weaknesses and provide more personalised feedback on learner's progress. We present a case study and initial experiments in which we apply the fuzzy LS technique for analysing the effectiveness of using a Group Performance Model (GPM) to deploy Activity Led Learning (ALL) in a Master-level module. Results show that the fuzzy weighted rules can identify useful relationships between student engagement and performance providing a mechanism allowing educators to transparently evaluate teaching and factors effecting student performance, which can be incorporated as part of an automated intelligent analysis and feedback system. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1306223 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467315074 |
| ISSN | 10987584 |
| e-ISBN | 9781467315067 |
| e-ISBN | 9781467315050 |
| DOI | 10.1109/FUZZ-IEEE.2012.6251312 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Monitoring Data mining Pragmatics Data models Education Computational modeling Software activity led learning student performance monitoring fuzzy systems linguistic summarisation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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