i-manager Publications

Students’ Performance Evaluation and Analysis

Bhavani Rachakatla*, B. Srinivasu**, Dave***, 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
DOI : https://doi.org/10.26634/jse.13.2.15274

Abstract

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.

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. https://doi.org/10.26634/jse.13.2.15274

References

[1]. Baba, S. C. H. M. H., Govindu, A., Raavi, M. K. S., & Somisetty, V. P. (2016). Student performance analysis using Classification Techniques. International Journal of Pure and Applied Mathematics, 115(6), 1-7.

[2]. Kekane, S., Khairnar, D., Patil, R., Vispute, S. R., & Gawande, N. (2016). Automatic student performance analysis and monitoring. International Journal of Innovative Research in Computer and Communication Engineering, 4(1), 33-38.

[3]. Kumar, V., & Chadha, A. (2011). An empirical study of the applications of data mining techniques in higher education. International Journal of Advanced Computer Science and Applications, 2(3), 80-84.

[4]. Qingshan, Y., Xianli, Z., & Mingying, Z. (2010, October). Design and implementation of college student management information system based on. Net three-layer structure. In Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on (pp. 797-799). IEEE.

[5]. Sa, C. L., Hossain, E. D., & bin Hossin, M. (2014, November). Student performance analysis system (SPAS). In Information and Communication Technology for The Muslim World (ICT4M), The 5^thInternational Conference on (pp. 1-6). IEEE.

[6]. Singh, C., Gopal, A., & Mishra, S. (2011, April). Extraction and analysis of faculty performance of management discipline from student feedback using clustering and association rule mining techniques. In Electronics Computer Technology (ICECT), 3^rd International Conference on (Vol. 4, pp. 94-96). IEEE.

[7]. Umamaheswari, K., & Niraimathi, S. (2013). A study on student data analysis using data mining techniques. International Journal of Advanced Research in Computer Science and Software Engineering, 3(8), 117-20.

[8]. Venkatesan, E., & Selvaragini, S. (2017). A study on the result based analysis of student performance using Data Mining Techniques. International Journal of Pure and Applied Mathematics, 116, 319-325.

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Students’ Performance Evaluation and Analysis

Abstract

Keywords

How to Cite this Article?

References

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