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Learning Analytics, Johann Ari Larusson; Brandon White


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Цена: 19564.00р.
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При оформлении заказа до: 2025-07-28
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Автор: Johann Ari Larusson; Brandon White
Название:  Learning Analytics
ISBN: 9781493944408
Издательство: Springer
Классификация:



ISBN-10: 1493944401
Обложка/Формат: Paperback
Страницы: 195
Вес: 0.30 кг.
Дата издания: 23.08.2016
Язык: English
Размер: 156 x 235 x 15
Основная тема: Education
Подзаголовок: From Research to Practice
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book offers a comprehensive review of Learning Analytics (LA). It highlights the latest results, methodologies, tools, strategies, and models and encompasses theoretical discussions as well as practical examples and strategies.


The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Formative Assessment, Learning Data Analytics and Gamification

Автор: Caballe, Santi
Название: Formative Assessment, Learning Data Analytics and Gamification
ISBN: 0128036370 ISBN-13(EAN): 9780128036372
Издательство: Elsevier Science
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Цена: 15159.00 р.
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Описание:

Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification.

This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

Learning Analytics Explained

Автор: Sclater
Название: Learning Analytics Explained
ISBN: 1138931721 ISBN-13(EAN): 9781138931725
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание: Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics.

Learning Analytics Explained

Автор: Sclater
Название: Learning Analytics Explained
ISBN: 113893173X ISBN-13(EAN): 9781138931732
Издательство: Taylor&Francis
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Цена: 5205.00 р.
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Описание: Learning Analytics Explained draws extensively from case studies and interviews with experts in order to discuss emerging applications of the new field of learning analytics.

Learning Analytics: Fundaments, Applications, and Trends

Автор: Alejandro Pe?a-Ayala
Название: Learning Analytics: Fundaments, Applications, and Trends
ISBN: 3319529765 ISBN-13(EAN): 9783319529769
Издательство: Springer
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Цена: 22359.00 р.
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Описание:

Learning Analytics in Higher Education.- A Literature Review.- Teaching and Learning Analytics to support Teacher Inquiry: A Systematic Literature Review.- A Landscape of Learning Analytics: An Exercise to Highlight the Nature of an Emergent Field.- A Review of Recent Advances in Adaptive Assessment.- Data-driven Personalization of Student Learning Support in Higher Education.- Overcoming the MOOC data deluge with learning analytic dashboards.- A Priori Knowledge in Learning Analytics.- Knowledge Discovery from the Programme for International Student Assessment.- A Learning Analytics Approach for Job Scheduling on Cloud Servers

Data Mining: Practical Machine Learning Tools and Techniques,

Автор: Ian H. Witten
Название: Data Mining: Practical Machine Learning Tools and Techniques,
ISBN: 0123748569 ISBN-13(EAN): 9780123748560
Издательство: Elsevier Science
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Цена: 8695.00 р.
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Описание: Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining?including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. <br><br>Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. <br><br>The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.<br> <br><br>* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques<br><br>* Algorithmic methods at the heart of successful data mining?including tired and true methods as well as leading edge methods<br><br>* Performance improvement techniques that work by transforming the input or output<br><br>* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization?in an updated, interactive interface. <br>

Assessment of learning

Автор: Harlen, Wynne
Название: Assessment of learning
ISBN: 1412935199 ISBN-13(EAN): 9781412935197
Издательство: Sage Publications
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Цена: 7602.00 р.
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Описание: Takes a critical look at how students` achievements are assessed for a range of purposes, from reporting progress to selection and qualification. This work considers the relationship between what is taught, and how, and what and how learning outcomes are assessed.

Assessment and Learning

Автор: Gardner John R
Название: Assessment and Learning
ISBN: 0857023837 ISBN-13(EAN): 9780857023834
Издательство: Sage Publications
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Цена: 7285.00 р.
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Описание: This new edition provides a comprehensive overview of assessment that is used to support learning, practice-based theory on assessment for learning, and formative assessment to support individual development and motivate learners.

The War on Learning: Gaining Ground in the Digital University

Автор: Losh Elizabeth
Название: The War on Learning: Gaining Ground in the Digital University
ISBN: 0262027380 ISBN-13(EAN): 9780262027380
Издательство: MIT Press
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Цена: 5925.00 р.
Наличие на складе: Нет в наличии.

Описание:

An examination of technology-based education initiatives -- from MOOCs to virtual worlds -- that argues against treating education as a product rather than a process.

Behind the lectern stands the professor, deploying course management systems, online quizzes, wireless clickers, PowerPoint slides, podcasts, and plagiarism-detection software. In the seats are the students, armed with smartphones, laptops, tablets, music players, and social networking. Although these two forces seem poised to do battle with each other, they are really both taking part in a war on learning itself. In this book, Elizabeth Losh examines current efforts to "reform" higher education by applying technological solutions to problems in teaching and learning. She finds that many of these initiatives fail because they treat education as a product rather than a process. Highly touted schemes -- video games for the classroom, for example, or the distribution of iPads -- let students down because they promote consumption rather than intellectual development.

Losh analyzes recent trends in postsecondary education and the rhetoric around them, often drawing on first-person accounts. In an effort to identify educational technologies that might actually work, she looks at strategies including MOOCs (massive open online courses), the gamification of subject matter, remix pedagogy, video lectures (from Randy Pausch to "the Baked Professor"), and educational virtual worlds. Finally, Losh outlines six basic principles of digital learning and describes several successful university-based initiatives. Her book will be essential reading for campus decision makers -- and for anyone who cares about education and technology.

Handbook of Data Mining and Learning Analytics

Автор: ElAtia Samira
Название: Handbook of Data Mining and Learning Analytics
ISBN: 1118998235 ISBN-13(EAN): 9781118998236
Издательство: Wiley
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Цена: 17258.00 р.
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Описание: 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.

Big Data and Learning Analytics in Higher Education

Автор: Kei Daniel
Название: Big Data and Learning Analytics in Higher Education
ISBN: 331906519X ISBN-13(EAN): 9783319065199
Издательство: Springer
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Цена: 16769.00 р.
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Описание: ?This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning?. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns?.

Utilizing Learning Analytics to Support Study Success

Автор: Dirk Ifenthaler; Dana-Kristin Mah; Jane Yin-Kim Ya
Название: Utilizing Learning Analytics to Support Study Success
ISBN: 3319647911 ISBN-13(EAN): 9783319647913
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

Students often enter higher education academically unprepared and with unrealistic perceptions and expectations of university life, which are critical factors that influence students' decisions to leave their institutions prior to degree completion. Advances in educational technology and the current availability of vast amounts of educational data make it possible to represent how students interact with higher education resources, as well as provide insights into students' learning behavior and processes. This volume offers new research in such learning analytics and demonstrates how they support students at institutions of higher education by offering personalized and adaptive support of their learning journey. It focuses on four major areas of discussion:

- Theoretical perspectives linking learning analytics and study success.

- Technological innovations for supporting student learning.

- Issues and challenges for implementing learning analytics at higher education institutions.

- Case studies showcasing successfully implemented learning analytics strategies at higher education institutions.

Utilizing Learning Analytics to Support Study Success ably exemplifies how educational data and innovative digital technologies contribute to successful learning and teaching scenarios and provides critical insight to researchers, graduate students, teachers, and administrators in the general areas of education, educational psychology, academic and organizational development, and instructional technology.


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