Taming The Data Monster: Collecting and Analyzing Classroom Data to Improve Student Progress, Christine Reeve, Susan Kabot
Автор: Blink Rebecca J. Название: Leading Learning for Digital Natives: Combining Data and Technology in the Classroom ISBN: 1138801720 ISBN-13(EAN): 9781138801721 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In light of rapid advances in technology and changes in students` learning styles, Leading Learning for Digital Natives offers much-needed new tools for guiding effective instruction in the classroom.
Автор: Bowen Jose A. Название: Teaching Naked: How Moving Technology Out of Your College Classroom Will Improve Student Learning ISBN: 1118110358 ISBN-13(EAN): 9781118110355 Издательство: Wiley Рейтинг: Цена: 30610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: You`ve heard about "flipping your classroom" now find out how to do it! Introducing a new way to think about higher education, learning, and technology that prioritizes the benefits of the human dimension.
Автор: Natasa Przulj Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists ISBN: 110842175X ISBN-13(EAN): 9781108421751 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Поставка под заказ. Описание: The increased and widespread availability of large network data resources in recent years has resulted in the increased need for effective methods for the analysis of these networks. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straight forward task because of the size of the data sets and the computer power required for the analyses. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this inter-disciplinary text provides an ideal introduction to and insight into the field of network data analysis.
Автор: Natasa Przulj Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists ISBN: 1108432239 ISBN-13(EAN): 9781108432238 Издательство: Cambridge Academ Рейтинг: Цена: 51750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bringing together leading experts in the field of network data analysis, this text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning. Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets.
Автор: Shalin Hai-Jew Название: Methods for Analyzing and Leveraging Online Learning Data ISBN: 1522575286 ISBN-13(EAN): 9781522575283 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 180180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: While online learning continues to be a rapidly expanding field of research, analyzing data allows educational institutions to fine tune their curriculum and teaching methods. Properly utilizing the data, however, becomes difficult when taking into account how socio-technical systems are used, the administration of those systems, default settings, how data is described and captured, and other factors.Methods for Analyzing and Leveraging Online Learning Data is a pivotal reference source that provides vital research on the application of data in online education for improving a system’s capabilities and optimizing it for teaching and learning. This publication explores data handling, cleaning, analysis, management, and representation, as well as the methods of effectively and ethically applying data research. Tying together education and information science with special attention paid to informal learning, online assessment, and social media, this book is ideally designed for educational administrators, system developers, curriculum designers, data analysts, researchers, instructors, and graduate-level students seeking current research on capturing, analyzing, storing, and sharing data-analytic insights regarding online learning environments.
Автор: Gregory Gayle H., Kuzmich Linda (Lin) M. (Marlene) Название: Data Driven Differentiation in the Standards-Based Classroom ISBN: 1483332497 ISBN-13(EAN): 9781483332499 Издательство: Sage Publications Рейтинг: Цена: 32730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Using data to plan differentiated instruction, the authors present step-by-step techniques and planning tools to help teachers design learning that allows all students to grow and achieve to their maximum potential.
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