Failure and Dropout Prediction of College Students Using Data Mining
Abstract & Details
Research Area
Computer Engineering
Keywords
Prediction System
Performance Analysis
Abstract
In this article we have described the prediction system which is about analysing the student’s academic performance..Prediction system is also able to predict the student’s academic failure chances. This system has its complete technology based guidance alongwith knowledge from past experiences . It presents users a platform where they can analyse their academic performance .The staff or co-ordinators are able to get individual performance analysis of each student .This system can be used by college students and professors for analyzing the performance of student. It also provides subject wise key skills of students in which he/she is have upper hand .This system reduces the manual work & allows the college to analyse every student’s academic improvements and weak zones . Having the performance analysis of each student & its prediction of failure, the assigned mentor of that students can guide them forward for better result.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sagar Namdev Gunjal | SRES College Of Engineering, Kopargaon |
| 2 | Swapnil Ide | SRES College Of Engineering, Kopargaon |
| 3 | Amol Jadhav | SRES College Of Engineering, Kopargaon |
| 4 | Akshay Kekan | SRES College Of Engineering, Kopargaon |
| 5 | Hemant Kokate | SRES College Of Engineering, Kopargaon |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Gunjal, Sagar Namdev, Ide, Swapnil, Jadhav, Amol, Kekan, Akshay, & Kokate, Hemant (2016). Failure and Dropout Prediction of College Students Using Data Mining. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 3088-3092.
MLA Style
Gunjal, Sagar Namdev, et al. "Failure and Dropout Prediction of College Students Using Data Mining." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 3088-3092.
IEEE Style
Sagar Namdev Gunjal, Swapnil Ide, Amol Jadhav, Akshay Kekan, and Hemant Kokate, "Failure and Dropout Prediction of College Students Using Data Mining," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 3088-3092, 2016.
Vancouver Style
Gunjal Sagar Namdev, Ide Swapnil, Jadhav Amol, Kekan Akshay, Kokate Hemant. Failure and Dropout Prediction of College Students Using Data Mining. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):3088-3092.
Harvard Style
Gunjal, Sagar Namdev, Ide, Swapnil, Jadhav, Amol, Kekan, Akshay, & Kokate, Hemant (2016) 'Failure and Dropout Prediction of College Students Using Data Mining', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 3088-3092.
Chicago Style
Gunjal, Sagar Namdev, et al. "Failure and Dropout Prediction of College Students Using Data Mining." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3088-3092.
Turabian Style
Gunjal, Sagar Namdev, et al. "Failure and Dropout Prediction of College Students Using Data Mining." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 3088-3092.
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