Classification Approach for Evaluating Students Performance in Covid 19 Pandemic
Poonam Sawant1, Sachin Gupta2, Yogesh Sharma3, Anamika Singh4

1Dr. Poonam Sawant*, Asst. Professor, Sinhgad Institute of Management & Computer Application Pune, India.
2Prof. Sachin Gupta, Asst. Professor, Sinhgad Institute of Management & Computer Application, Pune, Maharashtra , India.
3Prof. Yogesh Sharma, Asst. Professor, Sinhgad Institute of Management & Computer Application, Pune, Maharashtra , India.
4Dr. Anamika Singh, Director, Sinhgad Institute of Management & Computer Application, Pune, Maharashtra , India.

Manuscript received on March 30, 2021. | Revised Manuscript received on April 07, 2021. | Manuscript published on April 30, 2021. | PP: 47-51 | Volume-10 Issue-4, April 2021. | Retrieval Number: 100.1/ijeat.D23740410421 | DOI: 10.35940/ijeat.D2374.0410421
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Student performance evaluation and analysis is a necessary task for improving students’ quality now a days. The main aim of this research is to analyze students’ performance during Covid-19 pandemic. Covid-19 pandemic impact has been extensive, affecting the education sector in India as well as world. In attempt to reduce the spread of Covid-19 government decided to temporarily close educational institutions. In response to schools and colleges closures, UNESCO recommended the use of distance learning programmes and online platforms to reach learners remotely and limit the disruption of education. This impacts not only on students’ phycology, on their performance too. Although there are many systems that have been implemented predictive analytics till date, better advancements is needed. Machine learning classifiers and related technologies can be used efficiently in performance evaluation. At the end of this paper, we have proposed an Architecture of Student’s Performance Evaluation System with classification techniques. 
Keywords: Academic Performance, Covid-19, Machine Learning, C4.5, Naive Bayes.