Analysis of Learning Preferences and Learning Styles for an Undergraduate Teaching Unit

This paper works on a subpart of a research-in-progress framework on students' success, which is an integration of three modules comprise of learning styles, educational data mining and personalized learning. This study looks into the first module of learning styles. We aim to discover and anal...

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Bibliographic Details
Published in2018 4th International Conference on Computer and Information Sciences (ICCOINS) pp. 1 - 5
Main Authors Phung, Yet Chin, Dominic, P.D.D., Ahmad, Rohiza
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2018
Subjects
Business
Collaborative work
Correlation
Data mining
Education
educational data mining
Instruments
learning preference
learning style
personalized learning
Sensors
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Summary:This paper works on a subpart of a research-in-progress framework on students' success, which is an integration of three modules comprise of learning styles, educational data mining and personalized learning. This study looks into the first module of learning styles. We aim to discover and analyze the learning styles and the learning preferences for a class of business students enrolled in a third-year data mining unit in their undergraduate study. Students' learning styles and learning preferences are captured and gathered through surveys. Diagnostic analytics are carried on the compiled data. Data analysis revealed that there is no strong significant relationship between students' learning preference and learning styles, but students do have varying learning styles and a dominant learning style is preferred for the learning of a data mining unit at University.
DOI:10.1109/ICCOINS.2018.8510563