e-Learning and Social Networking Handbook, Rennie, Frank
Старое издание
Автор: Rennie, Frank Название: e-Learning and Social Networking Handbook ISBN: 0415426073 ISBN-13(EAN): 9780415426077 Издательство: Taylor&Francis Цена: 6889.00 р. Наличие на складе: Поставка под заказ.
Автор: Rennie, Frank Название: e-Learning and Social Networking Handbook ISBN: 0415426065 ISBN-13(EAN): 9780415426060 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Поставка под заказ.
Автор: Rennie, Frank Название: e-Learning and Social Networking Handbook ISBN: 0415426073 ISBN-13(EAN): 9780415426077 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Поставка под заказ.
Автор: Rennie Название: e-Learning and Social Networking Handbook ISBN: 0415503760 ISBN-13(EAN): 9780415503761 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Digital resources--from games to blogs to social networking--are strong forces in education today, but how can those tools be effectively utilized by educators and course designers in higher education? Filled with practical advice, the e-Learning and Social Networking Handbook, Second Edition provides a comprehensive overview of online learning tools and offers strategies for using these resources in course design, highlighting some of the most relevant and challenging topics in e-learning today, including:
- using social networking for educational purposes - designing for a distributed environment - strengths and weaknesses of delivering content in various formats (text, audio, and video) - potential constraints on course design - implementation, evaluation, induction, and training
Illustrated by short, descriptive case studies, the e-Learning and Social Networking Handbook, Second Edition also directs the reader to useful resources that will enhance their course design. This helpful guide will be invaluable to all those involved in the design and delivery of online learning in higher education.
Описание: The prominence of social media, especially in the lives of teenagers and young adults, has long been regarded as a significant distraction from studies. However, the integration of these forms of media into the teaching experience can improve the engagement of students.Global Perspectives on Social Media in Tertiary Learning and Teaching: Emerging Research and Opportunities is an essential scholarly publication that embeds innovative, current pedagogical practices into new and redeveloped courses and introduces digital and online learning tools to best support teaching practices. Featuring coverage on a wide range of topics including collaborative learning, innovative learning environments, and blended teaching, this book provides essential research for educators, educational administrators, education stakeholders, academicians, researchers, and professionals within the realm of higher education.
Описание: Navigating the gap between novice and expert is a process that will continue for years into an early academics` career. This book will serve as practical tool for PhD candidates and early career researchers (ECRs), providing them with an understanding on how to sustain long-lasting supervisory relationships and how to develop their networks.
Описание: Addresses the use of technology in developing and expanding educational delivery systems to reach rural populations, providing access to equitable education opportunities for disadvantaged and marginalized populations, and encouraging student civic engagement.
Описание: Addresses the use of technology in developing and expanding educational delivery systems to reach rural populations, providing access to equitable education opportunities for disadvantaged and marginalized populations, and encouraging student civic engagement.
Автор: Alexander Ahlswede; Rudolf Ahlswede; Ingo Alth?fer Название: Combinatorial Methods and Models ISBN: 3319850733 ISBN-13(EAN): 9783319850733 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Поставка под заказ.
Описание:
The fourth volume of Rudolf Ahlswede’s lectures on Information Theory is focused on Combinatorics. Ahlswede was originally motivated to study combinatorial aspects of Information Theory via zero-error codes: in this case the structure of the coding problems usually drastically changes from probabilistic to combinatorial. The best example is Shannon’s zero error capacity, where independent sets in graphs have to be examined. The extension to multiple access channels leads to the Zarankiewicz problem.A code can be regarded combinatorially as a hypergraph; and many coding theorems can be obtained by appropriate colourings or coverings of the underlying hypergraphs. Several such colouring and covering techniques and their applications are introduced in this book. Furthermore, codes produced by permutations and one of Ahlswede’s favourite research fields -- extremal problems in Combinatorics -- are presented. Whereas the first part of the book concentrates on combinatorial methods in order to analyse classical codes as prefix codes or codes in the Hamming metric, the second is devoted to combinatorial models in Information Theory. Here the code concept already relies on a rather combinatorial structure, as in several concrete models of multiple access channels or more refined distortions. An analytical tool coming into play, especially during the analysis of perfect codes, is the use of orthogonal polynomials.
Classical information processing concerns the main tasks of gaining knowledge and the storage, transmission and hiding of data. The first task is the prime goal of Statistics. For transmission and hiding data, Shannon developed an impressive mathematical theory called Information Theory, which he based on probabilistic models. The theory largely involves the concept of codes with small error probabilities in spite of noise in the transmission, which is modeled by channels. The lectures presented in this work are suitable for graduate students in Mathematics, and also for those working in Theoretical Computer Science, Physics, and Electrical Engineering with a background in basic Mathematics. The lectures can be used as the basis for courses or to supplement courses in many ways. Ph.D. students will also find research problems, often with conjectures, that offer potential subjects for a thesis. More advanced researchers may find questions which form the basis of entire research programs.
Автор: Alejandro Pe?a-Ayala Название: Educational Networking ISBN: 3030299724 ISBN-13(EAN): 9783030299729 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is related to the educational networking (EN) domain, an incipient but disrupting trend engaged in extending and improving formal and informal academic practices by means of the support given by online social networks (OSNs) and Web 2.0 technologies. With the aim of contributing to spread the knowledge and development of the arena, this volume introduces ten recent works, whose content meets the quality criteria of formal scientific labor that is worthy to be published according to following five categories:· Reviews: gather three overviews that focus on K-12 EN practice, mixed methods approaches using social network analysis for learning and education, and a broad landscape of the recent accomplished labor.· Conceptual: presents a work where a theoretical framework is proposed to overcome barriers that constrain the use of OSNs for educational purposes by means of a Platform Adoption Model. · Projects: inform a couple of initiatives, where one fosters groups and networks for teachers involved in distance education, and the other encourages students the author academic videos to improve motivation and engagement.· Approaches: offer three experiences related to: Wiki and Blog usage for assessment affairs, application of a method that encourages OSNs users to actively post and repost valuable information for the learning community, and the recreation of learning spaces in context–aware to boost EN.· Study: applies an own method to ranking Mexican universities based on maximal clique, giving as a result a series of complex visual networks that characterize the tides among diverse features that describe academic institutions practice.In resume, this volume offers a fresh reference of an emergent field that contributes to spreading and enhancing the provision of education in classrooms and online settings through social constructivism and collaboration policy. Thus, it is expected the published content encourages researchers, practitioners, professors, and postgraduate students to consider their future contribution to extent the scope and impact of EN in formal and informal teaching and learning endeavors.
Описание: PartI: Reviews.- Chapter1: Educational Networking: A Novel Discipline for Improved K-12 Learning Based on Social Networks.- Chapter2: Reviewing Mixed Methods Approaches Using Social Network Analysis for Learning and Education.- Chapter3: Educational Networking: A Glimpse at Emergent Field.- PartII: Conceptual.- Chapter4: The Platform Adoption Model (PAM): A theoretical framework to address barriers to educational networking.- PartIII: Projects.- Chapter5: Groups and Networks: Teachers' Educational Networking at B@UNAM.- Chapter6: Developing a learning network on YouTube: Analysis of student satisfaction with a learner-generated content activity.- PartIV: Approaches.- Chapter7: e-Assessments via Wiki and Blog Tools: Students' Perspective.- Chapter8: Lurkers vs. Posters: Investigation of the Participation Behaviors in Online Learning Communities.- Chapter9: Learning Spaces in Context-Aware Educational Networking Technologies in the digital age.- PartV: Study.- Chapter10: Mexican university ranking based on maximal clique.
Описание: This book discusses three important, hot research issues: social networking-based learning, machine learning-based user modeling and sentiment analysis.
Описание: This book discusses three important, hot research issues: social networking-based learning, machine learning-based user modeling and sentiment analysis.
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