DIGITAL LIBRARY
ANALYSIS OF THE EFFECT OF CLASS ATTENDANCE ON STUDENTS' ACADEMIC PERFORMANCE USING ASSOCIATION RULE MINING TECHNIQUE
Covenant University (NIGERIA)
About this paper:
Appears in: EDULEARN14 Proceedings
Publication year: 2014
Pages: 4079-4083
ISBN: 978-84-617-0557-3
ISSN: 2340-1117
Conference name: 6th International Conference on Education and New Learning Technologies
Dates: 7-9 July, 2014
Location: Barcelona, Spain
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 year Association Rule Mining has proved to be effective in analysing relationship between two attributes. 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.
Keywords:
Association rule mining, student academic performance, class attendance, data mining.