Using Data Mining to Predict Primary School Student Performance
Abstract & Details
Research Area
Computer Science and Engg.
Keywords
Data Mining
Decision Tree
Naïve Bayes Algorithm. Zero R Classification Algorithms.
Abstract
Predicting the performance of a student is a great concern to the Primary education.
The scope of this paper is to identify the factors influencing the performance of students in final
examinations and find out a suitable data mining algorithm to predict the grade of students so as
to a give timely and an appropriate warning to students those who are at risk. In the present
investigation, a survey cum experimental methodology was adopted to generate a database and
it was constructed from a primary and a secondary source. The obtained results from hypothesis
testing reveals that type of school is not influence student performance and area of school and
student pervious result’ occupation a major role in predicting grades. This work will help the
educational institutions to identify the students who are at risk and to and provide better
additional training for the weak students.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Manmohan Singh | Reserch Scholer Mewar University |
| 2 | Harish Nagar | - |
| 3 | Anajali Sant | - |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Singh, Manmohan, Nagar, Harish, & Sant, Anajali (2015). Using Data Mining to Predict Primary School Student Performance. International Journal of Advance Research and Innovative Ideas In Education, 2(1), 43-46.
MLA Style
Singh, Manmohan, et al. "Using Data Mining to Predict Primary School Student Performance." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 1, 2015, pp. 43-46.
IEEE Style
Manmohan Singh, Harish Nagar, and Anajali Sant, "Using Data Mining to Predict Primary School Student Performance," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 1, pp. 43-46, 2015.
Vancouver Style
Singh Manmohan, Nagar Harish, Sant Anajali. Using Data Mining to Predict Primary School Student Performance. International Journal of Advance Research and Innovative Ideas In Education. 2015;2(1):43-46.
Harvard Style
Singh, Manmohan, Nagar, Harish, & Sant, Anajali (2015) 'Using Data Mining to Predict Primary School Student Performance', International Journal of Advance Research and Innovative Ideas In Education, 2(1), pp. 43-46.
Chicago Style
Singh, Manmohan, Harish Nagar, and Anajali Sant. "Using Data Mining to Predict Primary School Student Performance." International Journal of Advance Research and Innovative Ideas In Education 2, no. 1 (2015): 43-46.
Turabian Style
Singh, Manmohan, Harish Nagar, and Anajali Sant. "Using Data Mining to Predict Primary School Student Performance." International Journal of Advance Research and Innovative Ideas In Education 2, no. 1 (2015): 43-46.
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