ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES

February 2017
Volume-1, Issue-5, 2016
Paper ID: C-1412
ISSN: 2395-4396
Downloads: 0
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Abstract & Details

Research Area
Information Science & Engineering
Keywords
Educational Data Mining Data Mining Data Mining Techniques Educational Data Mining Data Warehouse Anomaly Detection Classification Regression Clustering
Abstract
A student’s academic performance is influenced by several factors. Studies have been done in the educational data mining area to search out what are all the factors that have an effect on a student’s academic performance. There are many factors which may have an effect on a student’s scholastic achievement but our study aims to search out the major factors that may have an effect on a student’s academic performance. In our study we have taken a normal student, who can be a primary school student or an undergraduate student. Predicting student’s performance becomes tougher attributable to the big volume of information in academic databases. More number of students, large amount of data to be stored and more the responsibility of the institutions to shape the student’s career creatively. Teacher’s responsibility increases, they must be aware of the student’s activities and behaviour. To make the jobs of a teacher easy, we have identified few factors/attributes affecting student’s academic performance the most. Our study might bring edges and impacts to students, educators/lecturers and tutorial establishments. The factors which we have researched in our study are – student’s background, financial status of student’s family, college/school surrounding, class environment, faculty support, parent’s support, family stress, friends circle.

Author Information

# Name Institute / Affiliation
1 Chinmayee C Jain University, Bangalore
2 Manohar M Jain University, Bangalore
3 Bhavana S Jain University, Bangalore
4 Sayeeqa Anjum Jain University, Bangalore

How to Cite

Use the following formats to cite this article in your research.

APA Style
C, Chinmayee, M, Manohar, S, Bhavana, & Anjum, Sayeeqa (2017). ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES. International Journal of Advance Research and Innovative Ideas In Education, 1(5), 115-123.
MLA Style
C, Chinmayee, et al. "ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 5, 2017, pp. 115-123.
IEEE Style
Chinmayee C, Manohar M, Bhavana S, and Sayeeqa Anjum, "ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES," International Journal of Advance Research and Innovative Ideas In Education, vol. 1, no. 5, pp. 115-123, 2017.
Vancouver Style
C Chinmayee, M Manohar, S Bhavana, Anjum Sayeeqa. ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES. International Journal of Advance Research and Innovative Ideas In Education. 2017;1(5):115-123.
Harvard Style
C, Chinmayee, M, Manohar, S, Bhavana, & Anjum, Sayeeqa (2017) 'ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES', International Journal of Advance Research and Innovative Ideas In Education, 1(5), pp. 115-123.
Chicago Style
C, Chinmayee, et al. "ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education 1, no. 5 (2017): 115-123.
Turabian Style
C, Chinmayee, et al. "ANALYSIS ON FACTORS AFFECTING STUDENT ACADEMIC PERFORMANCE USING DATA MINING TECHNIQUES." International Journal of Advance Research and Innovative Ideas In Education 1, no. 5 (2017): 115-123.

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