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ANALYSIS OF THE EFFECT OF CLASS ATTENDANCE ON STUDENTS'ACADEMIC PERFORMANCE USING ASSOCIATION RULE MINING TECHNIQUE

Oladipupo, O. O. and Daramola, Olawande and Oyelade, O. J. and Afolabi, I. T. ANALYSIS OF THE EFFECT OF CLASS ATTENDANCE ON STUDENTS'ACADEMIC PERFORMANCE USING ASSOCIATION RULE MINING TECHNIQUE. , 6th International Conference on Education and New Learning Technologies, Barcelona.

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Abstract

Many institutions of learning encourage students to have good lecture attendance records. The belief is that an above average attendance rate will enhance students’ academic performance. However, very few studies have attempted to answer questions that relate to: i) the actual impact of good attendance record on students' academic performance; ii) the extent, in quantitative terms, of the effect of good attendance record on students’ academic performance. This paper reports the findings from an experimental analysis of students’ attendance record and corresponding academic performance results using Association Rule Mining. Over the years, Association Rule Mining has proved to be effective in analysing relationship between variables in transactional databases. The result of the case study provides useful information for the managements of higher institutions of learning on appropriate perspective to adopt on class attendance policies.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: UNSPECIFIED
Depositing User: Dr ibukun Afolabi
Date Deposited: 01 Sep 2017 10:29
Last Modified: 01 Sep 2017 10:29
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/9009

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