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


This paper aims to reduce the manual work involved in the performance evaluation and analysis of students, by automating the process right from retrieval of results to pre-processing, segregating, and storing them into a database. The authors also aim to perform analysis on huge amounts of data effectively and facilitate easy retrieval of various types of information related to students' performance. They aim to achieve this through Python, Crawlers, and other Database tools. Further, a scope is given to establish to data warehouse wherein, data mining techniques can be applied to perform various kinds of analyses, creating a knowledge base and use it further for prediction purposes.


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.


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