Prediction of Student’s Academic Performance using k-Means Clustering and Multiple Linear Regressions
نویسندگان
چکیده
منابع مشابه
Application of k Means Clustering algorithm for prediction of Students Academic Performance
The ability to monitor the progress of students’ academic performance is a critical issue to the academic community of higher learning. A system for analyzing students’ results based on cluster analysis and uses standard statistical algorithms to arrange their scores data according to the level of their performance is described. In this paper, we also implemented k-mean clustering algorithm for...
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Improving student’s academic performance is not an easy task for the academic community of higher learning. The academic performance of engineering and science students during their first year at university is a turning point in their educational path and usually encroaches on their General Point Average (GPA) in a decisive manner. The students evaluation factors like class quizzes mid and fina...
متن کاملPrediction of Student’s Academic Performance using Clustering
-------------------------------------------------------------------ABSTRACT------------------------------------------------------------One of the significant facts in higher learning institution is the explosive growth of educational data. These data are increasing rapidly without any benefit to the management. The main objective of any higher educational institution is to improve the quality o...
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15 صفحه اولthe relationship between academic self-concept and academic achievement in english and general subjects of the students of high school
according to research, academic self-concept and academic achievement are mutually interdependent. in the present study, the aim was to determine the relationship between the academic self-concept and the academic achievement of students in english as a foreign language and general subjects. the participants were 320 students studying in 4th grade of high school in three cities of noor, nowshah...
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ژورنال
عنوان ژورنال: Journal of Engineering and Applied Sciences
سال: 2019
ISSN: 1816-949X
DOI: 10.36478/jeasci.2019.8254.8260