Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities

Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities

Chintan Bhatt (Charotar University of Science and Technology, India), Priti Srinivas Sajja (Sardar Patel University, India) and Sidath Liyanage (University of Kelaniya, Sri Lanka)
Projected Release Date: August, 2019|Copyright: © 2020 |Pages: 250
ISBN13: 9781799800101|ISBN10: 1799800105|EISBN13: 9781799800125|DOI: 10.4018/978-1-7998-0010-1

Description

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.

Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is a critical scholarly resource that explores data mining and management techniques that promote the improvement and optimization of educational data systems. The book intends to provide new models, platforms, tools, and protocols in data science for educational data analysis and introduces innovative hybrid system models dedicated to data science. Including topics such as automatic assessment, educational analytics, and machine learning, this book is essential for IT specialists, data analysts, computer engineers, education professionals, administrators, policymakers, researchers, academicians, and technology experts.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Automatic Assessment
  • Behavioral Patterns
  • Big Data
  • Data Mining
  • Educational Analytics
  • Ethics
  • Higher Education
  • Learning Analytics
  • Machine Learning
  • Massively Open Online Courses (MOOCs)

Table of Contents and List of Contributors

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