Students' Performance Evaluation and Analysis

Bhavani Rachakatla*, B. Srinivasu**, Ch. Prasanna Laxmi***, Sana Thasleem****
*,***-**** Undergraduate, Department of Computer Science and Engineering, Osmania University, Hyderabad, Telangana, India.
** Professor, Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, Telangana, India.
Periodicity:October - December'2018

Abstract

This paper aims to reduce the manual work involved in performance evaluation and analysis of students, starting with the automation of the process of retrieval of results from results portal, pre process, segregate and store them into a database. We also aim to perform analysis on huge amounts of data effectively and facilitate easy retrieval of various sorts of information related to a students' performance. We aim to achieve this through Python, Crawlers and other Database tools. Further we give a scope to establish to data warehouse wherein we can apply data mining techniques to perform various kinds of analyses creating a knowledge base and use it further for prediction purposes.

Keywords

Performance Analysis, Data Analytics, Statistical Methods, Decision Making, Associations and Correlations

How to Cite this Article?

Rachakatla, B., Srinivasu, B., Laxmi, P. C. H., Thasleem, S. (2018). Students Performance Evaluation and Analysis, i-manager's Journal on Software Engineering, 13(2), 29-36.

References

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