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Performance Optimization and Evaluation Algorithm
Authors(3) :-Manu Narsaria, Dr. Debika Bhattacharya, Himadri Nath Saha
Education sector in India has hardly seen changes in the way students are being taught. Few of the reasons for this are: Inefficient process of tracking students all round development and complex method to check the role of institutions in students all round development. Even today the progress of a student is measured in terms of their performance in academics, and no definite scale has been defined to evaluate the student performance with respect to their academics, and co-curricular performance combined. In the past, much of the data could not be stored due to space and cost limitations. However, rapid advancement of technologies encompassing analytical practices has opened up vast avenues of effective storage and analysis of student's performance. In this paper, an algorithm has been proposed to analyze the student"s performance as a combination of all the activities performed by him/her and to predict the future performance of a student based on their past performances. Also the algorithm will attempt to conclude this at an institutional level to provide efficient tracking mechanisms for all its students.
Manu Narsaria, Dr. Debika Bhattacharya, Himadri Nath Saha
Education, Student Performance, Objective Assessment, Objective Evaluation, Predictive Analytics, Student Monitoring & Evaluation.
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Published in : Volume 2 | Issue 3 | May-June 2016
Date of Publication : 2017-12-31
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 108-112
Manuscript Number : IJSRST162345
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Manu Narsaria, Dr. Debika Bhattacharya, Himadri Nath Saha, "Performance Optimization and Evaluation Algorithm", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 2, Issue 3, pp.108-112, May-June-2016.
Journal URL : http://ijsrst.com/IJSRST162345