Improving Academic Performance of Students of Defence University Based on Data Warehousing and Data mining

Dr. Vuda Sreenivasarao

Improving Academic Performance of Students of Defence University Based on Data Warehousing and Data mining

Dr. Vuda Sreenivasarao * § Ph.D.

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§ singhania university

Improving Academic Performance of Students of Defence University Based on Data Warehousing and Data mining

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Abstract

The student academic performance in Defence University College is of great concern to the higher technical education managements, where several factors may affect the performance. The student academic performance in engineering during their first year at university is a turning point in their educational path and usually encroaches on their general point average in a decisive manner. The students evaluation factors like class quizzes mid and final exam assignment are studied. It is recommended that all these correlated information should be conveyed to the class teacher before the conduction of final exam. This study will help the teachers to reduce the drop out ratio to a significant level and improve the performance of students. Statistics plays an important role in assessment and evaluation of performance in academics of universities need to have extensive analysis capabilities of student achievement levels in order to make appropriate academic decisions. Academic decisions will result in academic performance changes, which need to be assessed periodically and over span of time. The performance parameters chosen can be viewed at the individual student, department, school and university levels. Data mining is used to extract meaning full information and to develop significant relationships among variables stored in large data set/ data warehouse. In this paper is an attempt to using concepts of data mining like k-Means clustering, Decision tree Techniques, to help in enhancing the quality of the higher technical educational system by evaluating student data to study the main attributes that may affect the performance of student in courses.

References

2 Cites in Article

Reference Format

Dr Vuda ; Sreenivasarao,G Vidyavathi,Sk Ramaswamy,Shabber (2010). A Research on result oriented learning process from university students based on distributed data mining and decision tree algorithm.
P Subbareddy,Vuda Sreenivasarao (2010). The result oriented process for process for students based on distributed data mining.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Vuda Sreenivasarao. 1970. "Improving Academic Performance of Students of Defence University Based on Data Warehousing and Data mining". Global Journal of Computer Science and Technology GJCST Volume 12 (GJCST Volume 12 Issue 2).

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GJCST Volume 12 Issue 2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Academic Performance Data base Data mining Data warehousing Educational data mining Student performance analysis and K-Means clustering algorith

Classification

GJCST Classification H.2.8

Submission ReceivedApril 6, 2012
Peer Review Double Blind
Handling Editor
Accepted April 30, 2012
Published May 15, 2012

Version of record

v1.2

Issue date

February 6, 2012

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Vuda Sreenivasarao , Capt. Genetu Yohannes (PhD/Dr. count: 1)

View Count (all-time): 333

Total Views (Real + Logic): 8644

Total Downloads (simulated): 536

Publish Date: 2012 05, Tue

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Total Views: 8.6K

Total Downloads: 536

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