Analysis of Courses Affecting Academic Achievement in Higher Education with Association Rules Technique
Abstract
Improving the quality of education is to develop humanity at its best. Therefore, this research aims at 3 goals. The 1st goal is to study the course structure that affects students' academic achievement, the 2nd goal is to study the relationships of each course that affect students' academic achievement, and the 3rd goal is to assess the patterns of each course's relationship on student achievement. Data collected for research were student data from the B.B.A. (Business Computer) at the University of Phayao from 2001 to 2020, totaling 2,017 students. The research tools are mining association rules with the Apriori algorithm, Support value, Confidence value, LaPlace value, Gain value, PS value, Lift value, and Conviction value. The research results found that it is imperative to accelerate problem-solving of learners' knowledge, skills, and abilities related to Mathematics and English knowledge in improving future curricula with the primary goal of further improving learner quality. The key findings of this research reveal that Thai students still need support and solutions in Mathematics and English for sustainable learning.
Keywords: academic achievement, learning styles, student, academic performance.
https://doi.org/10.55463/issn.1674-2974.49.4.22
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