Download Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining) By Sam
There is nothing to question t get this book as one of the discovering procedure to boost the understanding as well as perception. When you could appreciate of the author and the book, you could really feel relieved to check out the book. As a publication, Data Mining And Learning Analytics: Applications In Educational Research (Wiley Series On Methods And Applications In Data Mining) By Sam does not just come to be the analysis material. It can be the buddy to be always there with you. When you have absolutely nothing to do, this book can be a fantastic different to make your time better.
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining) By Sam
Download Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining) By Sam
What's your requirement to be reviewing product in this time? Is that the book that belongs to the responsibilities? Is that the book that can amuse you in your lonely time? Or, is that just type of book that you can check out to accompany the spare time? Every person has different reason why they select the certain book. It will feature particular cover style, interesting title, recommended topic, required motif, as well as professional writers.
Spare time ends up being an extremely priceless time for many people. This is the moment to lose all exhausted, tired, and tired tasks or duties. However, having as well very long time will make you really feel bored. Furthermore, you will feel that so when you have no tasks. To face the little problem, we show a publication Data Mining And Learning Analytics: Applications In Educational Research (Wiley Series On Methods And Applications In Data Mining) By Sam that can be a way to accompany you while remaining in the spare time. It can be reviewing product, not as the pillow obviously.
Downloading guide Data Mining And Learning Analytics: Applications In Educational Research (Wiley Series On Methods And Applications In Data Mining) By Sam in this site lists can provide you more benefits. It will certainly show you the most effective book collections and also completed compilations. A lot of books can be discovered in this internet site. So, this is not just this Data Mining And Learning Analytics: Applications In Educational Research (Wiley Series On Methods And Applications In Data Mining) By Sam Nevertheless, this book is referred to read considering that it is an inspiring book to give you a lot more opportunity to get experiences as well as thoughts. This is basic, review the soft documents of guide Data Mining And Learning Analytics: Applications In Educational Research (Wiley Series On Methods And Applications In Data Mining) By Sam and you get it.
Depending on the requirements, this publication also includes the willingness of lots of people making adjustments. The way is by positioning the content as well as just how you recognize it. One that ought to be born in mind is that this book is also composed by a good author, excellent writer wit professionalism and trust. So, Data Mining And Learning Analytics: Applications In Educational Research (Wiley Series On Methods And Applications In Data Mining) By Sam is much recommended for you, an individual who anticipates far better means to living design.
- Sales Rank: #7942557 in Books
- Published on: 2016-09-26
- Original language: English
- Dimensions: 8.27" h x .87" w x 5.91" l, 1.47 pounds
- Binding: Hardcover
- 320 pages
From the Back Cover
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.
Samira ElAtia is Associate Professor of Education at The University of Alberta, Canada. She has published numerous articles and book chapters on topics relating to the use of technology to support pedagogical research and education in higher education. Her current research focuses on using e-learning environment and big data for fair and valid longitudinal assessment of, and for, learning within higher education.
Donald Ipperciel is Principal and Professor at Glendon College, York University, Toronto, Canada and was the Canadian Research Chair in Political Philosophy and Canadian Studies between 2002 and 2012. He has authored several books and has contributed chapters and articles in more than 60 publications. Ipperciel has dedicated many years of research on the questions of e-learning and using technology in education. He is co-editor of the Canadian Journal of Learning and Technology since 2010.
Osmar R. Zaiane is Professor of Computing Science at the University of Alberta, Canada and Scientific Director of the Alberta Innovates Centre of Machine Learning. A renowned researcher and computer scientist, Dr. Zaiane is former Secretary Treasurer of the Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining. He obtained the IEEE ICDM Outstanding Service Aware in 2009 as well as the ACM SIGKDD Service Award the following year.
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)
By Sam PDF
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)
By Sam EPub
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)
By Sam Doc
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)
By Sam iBooks
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)
By Sam rtf
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)
By Sam Mobipocket
Data Mining and Learning Analytics: Applications in Educational Research (Wiley Series on Methods and Applications in Data Mining)
By Sam Kindle