Analysis of Student Academic Performance and Social Media Activities by Using Data Mining Approach

2020 ◽  
Author(s):  
Enda Esyudha Pratama ◽  
Eva Faja Ripanti
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Academic Performance ◽  
Data Mining Approach ◽  
Student Academic Performance ◽  
Using Data

scholarly journals An Analysis on Student Academic Performance by Using Decision Tree Models

2018 ◽  
pp. 615-620
Author(s):  
Jastini Mohd. Jamil ◽  
Nurul Farahin Mohd Pauzi ◽  
Izwan Nizal Mohd. Shahara Nee
Keyword(s):  
Data Mining ◽  
Academic Performance ◽  
Decision Tree ◽  
Large Volume ◽  
Educational Data Mining ◽  
Data Mining Techniques ◽  
Student Academic Performance ◽  
Tree Models ◽  
Student’S Performance ◽  
Using Data

Large volume of educational data has led to more challenging in predicting student’s performance. In Malaysia currently, study about the performance of students in Malaysia institutions is very little being addressed. The previous studies are still insufficient to identify what factors contribute to student’s achievements and lack of investigations on exploring pattern of student’s behaviour that affecting their academic performance within Malaysia context. Therefore, predicting student’s academic performance by using decision trees is proposed to improve student’s achievements more effectively. The main objective of this paper is to provide an overview on predicting student’s academic performance using by using data mining techniques. This paper also focuses on identifying the pattern of student’s behaviour and the most important attributes that impact to the student’s achievement. By using educational data mining techniques, the students, lecturers and academic institution are able to have a better understanding on the student’s achievement.

scholarly journals Survey on data mining approach for analysis and prediction of student performance

2018 ◽  
Vol 7 (4.5) ◽  
pp. 467 ◽  
Author(s):  
Chala Simon ◽  
Ybralem Bugusa
Keyword(s):  
Data Mining ◽  
Academic Performance ◽  
Student Performance ◽  
Quality Of Education ◽  
Survey Paper ◽  
Data Mining Approach ◽  
Student Academic Performance

The quality of education is measured by the academic performance of students and the results they produce. Since the student academic performance is the made up of the environmental, psychological, socio-economic and other factors, it is challenging to measure the aca- demic performance of students. Such difficulties can be reduced by investigation of various factors that influence the student perfor- mance. Many researchers have been used different approaches to identifying the variables that help to predict students’ performance. This survey paper examines various data mining methodologies that have been used to analyze and predict students’ performance.   

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