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

2019-08-02 Education
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Release : 2019-08-02
Genre : Education
Kind : eBook
Book Rating : 121/5 ( reviews)

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Book Synopsis Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities by : Bhatt, Chintan

Download or read book Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities written by Bhatt, Chintan. This book was released on 2019-08-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining and Learning Analytics

2016-09-20 Computers
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Release : 2016-09-20
Genre : Computers
Kind : eBook
Book Rating : 219/5 ( reviews)

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Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia. This book was released on 2016-09-20. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Educational Data Mining with R and Rattle

2022-09-01 Computers
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Release : 2022-09-01
Genre : Computers
Kind : eBook
Book Rating : 63X/5 ( reviews)

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Book Synopsis Educational Data Mining with R and Rattle by : R.S. Kamath

Download or read book Educational Data Mining with R and Rattle written by R.S. Kamath. This book was released on 2022-09-01. Available in PDF, EPUB and Kindle. Book excerpt: Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme "Mining of Educational Data for the Analysis and Prediction of Students' Academic Performance". The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools. .Technical topics discussed in the book include:• Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach

Data Mining and Learning Analytics

2016-09-26 Computers
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Release : 2016-09-26
Genre : Computers
Kind : eBook
Book Rating : 235/5 ( reviews)

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Book Synopsis Data Mining and Learning Analytics by : Samira ElAtia

Download or read book Data Mining and Learning Analytics written by Samira ElAtia. This book was released on 2016-09-26. Available in PDF, EPUB and Kindle. Book excerpt: Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research—from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. Includes case studies where data mining techniques have been effectively applied to advance teaching and learning Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.

Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities

2019-10-25 Technology & Engineering
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Release : 2019-10-25
Genre : Technology & Engineering
Kind : eBook
Book Rating : 674/5 ( reviews)

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Book Synopsis Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities by : Sidhu, Manjit Singh

Download or read book Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities written by Sidhu, Manjit Singh. This book was released on 2019-10-25. Available in PDF, EPUB and Kindle. Book excerpt: Visual multimedia applications integrate animation, sound, graphics, and video to create an engaging, interactive, and effective learning environment. Such software allows students to exercise more control over the pacing and sequencing of their own learning. With the availability of more sophisticated computers, the potential to employ multimedia has grown tremendously. Advanced Technology-Assisted Problem Solving in Engineering Education: Emerging Research and Opportunities is a critical scholarly publication that examines the development and use of interactive multimedia and mixed reality applications that are used to support engineering pedagogy and curriculum. Containing leading international findings, this advanced publication delivers quality research using learning and consultancy for developing tactics to decipher dilemmas within the field. Highlighting a range of topics such as data analysis, augmented reality, and multimedia, this book is ideal for educators, engineers, curriculum designers, educational software developers, IT consultants, researchers, academicians, and students.

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