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Association analysis of moodle e‐tests in blended learning educational environment

Dimić, Gabrijela, Predić, Bratislav, Rančić, Dejan, Petrović, Vera, Maček, Nemanja, Spalević, Petar·2018·Computer Applications in Engineering Education
DOI 10.1002/cae.21894
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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.

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Metadata

Authors
Dimić, G., Predić, B., Rančić, D., Petrović, V., Maček, N., & Spalević, P.
Affiliations
  • High School of Electrical Engineering and Computer Science of Applied Studies Belgrade Serbia
  • University of Nis (RS)
  • Faculty of Informatics and Computing Univeristy of Singidunum Belgrade Serbia
ORCID
Venue
Computer Applications in Engineering Education
Publisher
Wiley
Published
2017-12-15
Volume
26
Issue
3
Pages
417-430
ISSN
  • 1061-3773 (ISSN-L)
  • 1099-0542
DOI
10.1002/cae.21894
OpenAlex
W2771385097
Cited by
17
References
1
Citations by year
2023: 5 · 2022: 1 · 2021: 1 · 2020: 4 · 2019: 4 · 2018: 1
FWCI
2.95
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
Computer Applications in Engineering Education (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
  • Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
Keywords
association rule mining, e-testing, blended learning, Moodle, Apriori algorithm, knowledge test, computer graphics education, educational data mining

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