Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities, 1st Edition

  • Chintan Bhatt
  • Priti Srinivas Sajja
  • Sidath Liyanage
  • Published By:
  • ISBN-10: 1799800121
  • ISBN-13: 9781799800125
  • DDC: 371.33
  • 166 Pages | eBook
  • Original Copyright 2020 | Published/Released November 2019
  • This publication's content originally published in print form: 2020

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Modern education has increased its reach through ICT tools and techniques. To manage educational data with the help of modern artificial intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science techniques to manage educational data, the safekeeping, delivery, and use of knowledge can be increased for better quality education. This critical scholarly resource explores data mining and management techniques that promote improvement and optimization of educational data systems. It provides new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Topics include automatic assessment, educational analytics, and machine learning. For IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Educational Technologies and Instructional Design (AETID) Book Series.
Table of Contents.
Detailed Table of Contents.
1: Role of Information and Communication Technologies in Transforming Teaching and Learning Environments.
2: Improvement of the Transmission of Information for ICT Techniques Through CBEDE Methodology.
3: Towards Increasing the Efficiency of E-Learning Systems Using Recommendation System Approach.
4: Predicting the Academic Performance of Students Using Utility-Based Data Mining.
5: Data Mining in Global Higher Education: Opportunities and Challenges for Learning.
6: Intelligent Tutoring System.
7: Related Readings.
About the Contributors.