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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. 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.
This is a digital product.
Additional ISBNs
1799800105, 1799800121, 9781799800101, 9781799800125
Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities is written by Chintan Bhatt and published by Information Science Reference. The Digital and eTextbook ISBNs for Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities are 9781799800132, 179980013X and the print ISBNs are 9781799800101, 1799800105. Additional ISBNs for this eTextbook include 1799800105, 1799800121, 9781799800101, 9781799800125.
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