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Smart Education and e-Learning 2017, Vladimir L. Uskov; Robert J. Howlett; Lakhmi C. Ja


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Автор: Vladimir L. Uskov; Robert J. Howlett; Lakhmi C. Ja
Название:  Smart Education and e-Learning 2017
ISBN: 9783319594507
Издательство: Springer
Классификация:
ISBN-10: 3319594508
Обложка/Формат: Hardcover
Страницы: 498
Вес: 0.89 кг.
Дата издания: 28.05.2017
Серия: Smart Innovation, Systems and Technologies
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 186 illustrations, black and white; xiii, 498 p. 186 illus.
Размер: 234 x 156 x 29
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

This book gathers the contributions presented at the 4th International KES Conference on Smart Education and Smart e-Learning (KES-SEEL-17), which took place in Vilamoura, Algarve, Portugal, June 21-23, 2017.

Smart education and smart e-Learning are emerging and rapidly growing areas. They represent the innovative integration of smart systems, technologies and objects, smart environments, smart pedagogy, smart learning and academic analytics, various branches of computer science and computer engineering, and state-of-the-art smart educational software and/or hardware systems.

It contains a total of 48 peer-reviewed book chapters that are grouped into several parts: Part 1 - Smart Pedagogy, Part 2 - Smart e-Learning, Part 3 - Systems and Technologies for Smart Education, Part 4 - Smart Teaching, and Part 5 - Smart Education: National Initiatives and Approaches.

The book offers a valuable source of research data, information on best practices, and case studies for educators, researchers, Ph.D. students, administrators, and practitioners--and all those who are interested in innovative areas of smart education and smart e-Learning.


Дополнительное описание: Smart Pedagogy for Smart Universities.- Information Channel Based Measure of Effectiveness of Computer-Assisted Assessment in Flipped Classroom.- Efforts for Upward Spirals Based on Both Teacher and Student Feedback on Smart Education.- Analysis of Studen



Smart Learning Objects for Smart Education in Computer Science

Автор: Vytautas ?tuikys
Название: Smart Learning Objects for Smart Education in Computer Science
ISBN: 3319169122 ISBN-13(EAN): 9783319169125
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the latest research on the meta-programming-based generative learning objects (the latter with advanced features are treated as SLOs) and the use of educational robots in teaching CS topics. The introduced methodology includes the overall processes to develop SLO and smart educational environment (SEE) and integrates both into the real education setting to provide teaching in CS using constructivist and project-based approaches along with evaluation of pedagogic outcomes.

Smart Learning Objects for Smart Education in Computer Science will appeal to researchers in CS education particularly those interested in using robots in teaching, course designers and educational software and tools developers. With research and exercise questions at the end of each chapter students studying CS related courses will find this work informative and valuable too.

Citizen, Territory and Technologies: Smart Learning Contexts and Practices

Автор: ?scar Mealha; Monica Divitini; Matthias Rehm
Название: Citizen, Territory and Technologies: Smart Learning Contexts and Practices
ISBN: 3319613219 ISBN-13(EAN): 9783319613215
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book gathers a selection of the articles accepted for presentation and discussion at the 2nd International Conference on Smart Learning Ecosystems and Regional Developments (SLERD 2017), held 22-23 June What characterizes smart learning ecosystems?

Smart Learning Objects for Smart Education in Computer Science

Автор: Vytautas ?tuikys
Название: Smart Learning Objects for Smart Education in Computer Science
ISBN: 3319386638 ISBN-13(EAN): 9783319386638
Издательство: Springer
Рейтинг:
Цена: 13275.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the latest research on the meta-programming-based generative learning objects (the latter with advanced features are treated as SLOs) and the use of educational robots in teaching CS topics. The introduced methodology includes the overall processes to develop SLO and smart educational environment (SEE) and integrates both into the real education setting to provide teaching in CS using constructivist and project-based approaches along with evaluation of pedagogic outcomes.

Smart Learning Objects for Smart Education in Computer Science will appeal to researchers in CS education particularly those interested in using robots in teaching, course designers and educational software and tools developers. With research and exercise questions at the end of each chapter students studying CS related courses will find this work informative and valuable too.

Intelligent Data Engineering and Automated Learning – IDEAL 2017

Автор: Hujun Yin; Yang Gao; Songcan Chen; Yimin Wen; Guoy
Название: Intelligent Data Engineering and Automated Learning – IDEAL 2017
ISBN: 3319689347 ISBN-13(EAN): 9783319689340
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017. The 65 full papers presented were carefully reviewed and selected from 110 submissions.

Advances in Web-Based Learning – ICWL 2017

Автор: Haoran Xie; Elvira Popescu; Gerhard Hancke; Baltas
Название: Advances in Web-Based Learning – ICWL 2017
ISBN: 3319667327 ISBN-13(EAN): 9783319667324
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book constitutes the proceedings of the 16th International Conference on Web-Based Learning, ICWL 2017, held in Cape Town, South Africa, in September 2017. The 13 revised full papers presented together with 9 short papers and 3 poster papers were carefully reviewed and selected from 56 submissions.

Artificial Neural Networks and Machine Learning -- ICANN 2017

Автор: Alessandra Lintas; Stefano Rovetta; Paul F.M.J. Ve
Название: Artificial Neural Networks and Machine Learning -- ICANN 2017
ISBN: 3319685996 ISBN-13(EAN): 9783319685991
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017. The 128 full papers included in this volume were carefully reviewed and selected from 270 submissions.

Principles and Theory for Data Mining and Machine Learning

Автор: Bertrand Clarke; Ernest Fokoue; Hao Helen Zhang
Название: Principles and Theory for Data Mining and Machine Learning
ISBN: 1461417074 ISBN-13(EAN): 9781461417071
Издательство: Springer
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Цена: 21661.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern perspective emphasizing the most recent contributions.

E-Learning Practice in Higher Education: A Mixed-Method Comparative Analysis

Автор: Sayed Hadi Sadeghi
Название: E-Learning Practice in Higher Education: A Mixed-Method Comparative Analysis
ISBN: 3319659383 ISBN-13(EAN): 9783319659381
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book investigates e-learning practices at American and Australian institutes of higher learning, their status quo, best-practice examples, and remaining issues.

Incremental Learning for Motion Prediction of Pedestrians and Vehicles

Автор: Alejandro Dizan Vasquez Govea
Название: Incremental Learning for Motion Prediction of Pedestrians and Vehicles
ISBN: 3642263852 ISBN-13(EAN): 9783642263859
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book focuses on the problem of moving in a cluttered environment with pedestrians and vehicles. A framework based on Hidden Markov models is developed to learn typical motion patterns which can be used to predict motion on the basis of sensor data.

Games and Learning Alliance

Автор: Alessandro De Gloria
Название: Games and Learning Alliance
ISBN: 3319121561 ISBN-13(EAN): 9783319121567
Издательство: Springer
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Цена: 8944.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Games and Learning Alliance, GALA 2013, held in Paris, France, in October 2013.The 25 revised papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions.

Computer-Human Interaction. Cognitive Effects of Spatial Interaction, Learning, and Ability

Автор: Theodor Wyeld; Paul Calder; Haifeng Shen
Название: Computer-Human Interaction. Cognitive Effects of Spatial Interaction, Learning, and Ability
ISBN: 3319169394 ISBN-13(EAN): 9783319169392
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 25th Australian Conference on Computer-Human Interaction, OzCHI 2013, held in Adelaide, SA, Australia, in November 2013. The 11 revised extended papers were carefully reviewed and selected from 192 submissions and cover topics on multi-dimensional interaction;

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


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