Discussion
Dimić, Gabrijela and Predić, Bratislav and Rančić, Dejan and Petrović, Vera and Maček, Nemanja and Spalević, Petar (2018) Association analysis of moodle e-tests in blended learning educational environment. Computer Applications in Engineering Education, 26 (3). pp. 417-430.
Full text not available from this repository.Abstract
The paper suggests the implementation of association analysis for improving the process of e-testing in blended learning environment. The research has been conducted using knowledge tests at the Computer Graphics Moodle Course. In the preprocessing phase, data matrices have been created and prepared for the process of discovering significant relationships and links between students' answers to the questions from preparatory tests and those for testing knowledge, the ways of doing, and achieved results. By implementing Apriori and Predictive Apriori algorithms, a great number of association rules has been discovered. Important and interesting rules have been singled out by implementing objective and subjective assessment measures. The examples of interesting rules, as well as discovered patterns in items' relationships, have also been presented. The contribution of the described case study is visible in providing important feedback which enables the teacher to get a better insight into the concepts of created tests and decide on how to make changes to improve testing.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | association rule mining, blended learning, computer-based testing, educational data mining, predictive Apriori algorithm |
| Depositing User: | Elizabeth Dalton |
| Date Deposited: | 16 Dec 2019 23:40 |
| Last Modified: | 16 Dec 2019 23:40 |
| URI: | http://research.moodle.org/id/eprint/414 |
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