Abstract
This research aims to study the relationship between university's students learning behavior affecting their educational academic performance by using the educational data mining method. The objective of this study is to identify the learning behavior of the university students through the data mining method. It is also to allow the academician to evaluate the university student's educational academic performance and to predict the university student's learning behavior affecting their educational academic performance in their university. Tinto's model is the main theoretical framework that studies the learning behavior of the student, together with emotional behavior factors to formulate a prediction of the student academic performance. It enables academician to analyze the characteristics of students enrolling into the universities such as their family background, their goals, priorities enrolling into universities and their experience they obtained. Positive result of this study has depicted the relationship between university student's behaviors affecting their academic performance. There is a significant positive correlation between student's learning behavior and their educational academic performance.
Published Version
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