A Machine Learning Model for Advanced Decision Making in Smart Education Systems

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Author(s): Palanivel Kuppusamy (Pondicherry University, India)and Suresh Joseph K. (Pondicherry University, India)
Copyright: 2021
Pages: 30
Source title: Machine Learning Approaches for Improvising Modern Learning Systems
Source Author(s)/Editor(s): Zameer Gulzar (BSAR Crescent Institute of Science and Technology, India)and A. Anny Leema (Vellore Institute of Technology (VIT), Vellore, India)
DOI: 10.4018/978-1-7998-5009-0.ch008

Keywords: Educational Technologies / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

A smart education system uses emerging technologies and generates a vast amount of heterogeneous data in the learning environment. The conventional methods presently used by the educational administrators for decision-making are minimal and take more time to generate the results. The educational administrators could not be able to predict the results quickly and advance for better decision-making. Today, artificial intelligence approaches are widely used in educational systems for automating educational processes. These approaches achieve a better, efficient, and effective modern education system. Integrating machine learning deep learning techniques with a smart education system can automatically analyze the generated data for better decision-making and provide recommendations to students and educational administrators. This chapter aims to introduce a machine learning model to predict the outcomes in a smart education system.

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A Machine Learning Model for Advanced Decision Making in Smart Education Systems

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