JOURNAL ARTICLE

Online Student Performance Prediction Using Machine Learning Approach

Somar, NeenaT J Jobin

Year: 2022 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

Abstract: The paper is ready to predict scholars’ overall performance on online medium the use of gadget studying. The present-day scenario of covid brings about turning lessons into the online platform. Right here the paper is to predict scholar overall performance and analyze the numerous other factors affecting overall performance gadget mastering helps to expect student online class performance. based on the prediction either properly or bad for college kids can be determined out. This helps the government authority to take essential motions to improve their performance. right here we make use of various gadgets gaining knowledge of algorithms like regression models and correlation approaches.

Keywords:
Gadget Performance prediction Predictive modelling Government (linguistics) Class (philosophy) Online assessment Regression analysis Online learning

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Topics

Online Learning and Analytics
Physical Sciences →  Computer Science →  Computer Science Applications
Technology-Enhanced Education Studies
Social Sciences →  Social Sciences →  Education
Blockchain Technology in Education and Learning
Physical Sciences →  Computer Science →  Information Systems

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