Journal Of Educational Data Processing
Download Journal Of Educational Data Processing full books in PDF, epub, and Kindle. Read online free Journal Of Educational Data Processing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: |
Publisher |
: |
Total Pages |
: 158 |
Release |
: 1979 |
ISBN-10 |
: UCSC:32106020096456 |
ISBN-13 |
: |
Rating |
: 4/5 (56 Downloads) |
Synopsis Journal of Educational Data Processing by :
Author |
: |
Publisher |
: |
Total Pages |
: 234 |
Release |
: 1973 |
ISBN-10 |
: UCSC:32106020096415 |
ISBN-13 |
: |
Rating |
: 4/5 (15 Downloads) |
Synopsis Journal of Educational Data Processing by :
Author |
: Samira ElAtia |
Publisher |
: John Wiley & Sons |
Total Pages |
: 351 |
Release |
: 2016-09-20 |
ISBN-10 |
: 9781118998212 |
ISBN-13 |
: 1118998219 |
Rating |
: 4/5 (12 Downloads) |
Synopsis Data Mining and Learning Analytics by : Samira ElAtia
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.
Author |
: Deepak Gupta |
Publisher |
: John Wiley & Sons |
Total Pages |
: 432 |
Release |
: 2020-04-17 |
ISBN-10 |
: 9781119544449 |
ISBN-13 |
: 1119544440 |
Rating |
: 4/5 (49 Downloads) |
Synopsis Intelligent Data Analysis by : Deepak Gupta
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.
Author |
: |
Publisher |
: |
Total Pages |
: 1158 |
Release |
: 1969 |
ISBN-10 |
: UOM:39015039525863 |
ISBN-13 |
: |
Rating |
: 4/5 (63 Downloads) |
Synopsis OE [publication] by :
Author |
: Ben Williamson |
Publisher |
: SAGE |
Total Pages |
: 281 |
Release |
: 2017-07-24 |
ISBN-10 |
: 9781526416322 |
ISBN-13 |
: 1526416328 |
Rating |
: 4/5 (22 Downloads) |
Synopsis Big Data in Education by : Ben Williamson
Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!
Author |
: Eduardo Rodriguez |
Publisher |
: CRC Press |
Total Pages |
: 246 |
Release |
: 2017-02-17 |
ISBN-10 |
: 9781351975636 |
ISBN-13 |
: 1351975633 |
Rating |
: 4/5 (36 Downloads) |
Synopsis The Analytics Process by : Eduardo Rodriguez
This book is about the process of using analytics and the capabilities of analytics in today’s organizations. Cutting through the buzz surrounding the term analytics and the overloaded expectations about using analytics, the book demystifies analytics with an in-depth examination of concepts grounded in operations research and management science. Analytics as a set of tools and processes is only as effective as: The data with which it is working The human judgment applying the processes and understanding the output of these processes. For this reason, the book focuses on the analytics process. What is intrinsic to analytics’ real organizational impact are the careful application of tools and the thoughtful application of their outcomes. This work emphasizes analytics as part of a process that supports decision-making within organizations. It wants to debunk overblown expectations that somehow analytics outputs or analytics as applied to other concepts, such as Big Data, are the be-all and end-all of the analytics process. They are, instead, only a step within a holistic and critical approach to management thinking that can create real value for an organization. To develop this holistic approach, the book is divided into two sections that examine concepts and applications. The first section makes the case for executive management taking a holistic approach to analytics. It draws on rich research in operations and management science that form the context in which analytics tools are to be applied. There is a strong emphasis on knowledge management concepts and techniques, as well as risk management concepts and techniques. The second section focuses on both the use of the analytics process and organizational issues that are required to make the analytics process relevant and impactful.
Author |
: Bhatt, Chintan |
Publisher |
: IGI Global |
Total Pages |
: 166 |
Release |
: 2019-08-02 |
ISBN-10 |
: 9781799800125 |
ISBN-13 |
: 1799800121 |
Rating |
: 4/5 (25 Downloads) |
Synopsis Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities by : Bhatt, Chintan
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.
Author |
: Air Force Human Resources Laboratory |
Publisher |
: |
Total Pages |
: 706 |
Release |
: 1968 |
ISBN-10 |
: UIUC:30112099966373 |
ISBN-13 |
: |
Rating |
: 4/5 (73 Downloads) |
Synopsis AFHRL-TR. by : Air Force Human Resources Laboratory
Author |
: Badrul H. Khan |
Publisher |
: Routledge |
Total Pages |
: 440 |
Release |
: 2018-12-07 |
ISBN-10 |
: 9781351394673 |
ISBN-13 |
: 1351394673 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Responsible Analytics and Data Mining in Education by : Badrul H. Khan
Winner of two Outstanding Book Awards from the Association of Educational Communications and Technology (Culture, Learning, & Technology and Systems Thinking & Change divisions)! Rapid advancements in our ability to collect, process, and analyze massive amounts of data along with the widespread use of online and blended learning platforms have enabled educators at all levels to gain new insights into how people learn. Responsible Analytics and Data Mining in Education addresses the thoughtful and purposeful navigation, evaluation, and implementation of these emerging forms of educational data analysis. Chapter authors from around the world explore how data analytics can be used to improve course and program quality; how the data and its interpretations may inadvertently impact students, faculty, and institutions; the quality and reliability of data, as well as the accuracy of data-based decisions; ethical implications surrounding the collection, distribution, and use of student-generated data; and more. This volume unpacks and explores this complex issue through a systematic framework whose dimensions address the issues that must be considered before implementation of a new initiative or program.