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Title: Curriculum Analysis Based on Cerebral Hemisphere Functions Using Association Rule
Authors: Xangyang
Sakgasit Ramingwong
Narissara Eiamkanitchat
Lachana Ramingwong
Keywords: Computer Science
Issue Date: 6-Aug-2018
Abstract: © 2018 IEEE. This paper presents the usage of Data mining techniques with Association rules to analyze students grades and curriculum base on Cerebral Hemisphere functions. The goal of this investigation to break down the correlation of balancing of subjects in the educational modules base on left and right hemisphere those results evaluations of students. To prepare the information for decision support to develop the scholarly educational programs. The grades of students from 2 curriculums, including the 4 years study and the 5 years study are used. The 2 generations of students from the Souphanouvong University in the Lao People's Democratic Republic are utilized in the study. Clustering techniques are applied to students grades and subjects. Students grades are divided to 3 clusters, including {'Good', 'Fair', 'Poor'}. Subjects are divided to 2 clusters, including {'Left Hemisphere', 'Right Hemisphere'}. The association rule technique is applied to demonstrate the relationship between the student's grades and the balancing of subjects in the curriculum base on Cerebral Hemisphere functions. The results show the improvement of students grades from both generations have the similar pattern in the academic year that the subjects of left hemisphere balance of the subjects of right hemisphere. The concepts of this paper can apply to any educational modules and can be used as the decision support to modify the curriculum in some academic years.
Appears in Collections:CMUL: Journal Articles

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