Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Open Networked "i-Learning" PDF full book. Access full book title Open Networked "i-Learning" by Gianluca Elia. Download full books in PDF and EPUB format.
Author: Gianluca Elia Publisher: Springer Science & Business Media ISBN: 1441968547 Category : Computers Languages : en Pages : 176
Book Description
Open Source Applications Springer Book Series Editor: Ernesto Damiani, University of Milan, Italy http://sesar.dti.unimi.it/ossbook/ A new overall interdisciplinary framework called “i learning” integrates managerial organization and technology aspects also known as “technology enhanced learning”. Open Networked "i Learning": Models and Cases of “Next-Gen” Learning begins its investigation with the important changes that have recently occurred within the management, technology and society fields. Social and cultural aspects of society that influence the “dynamics” and the “styles” of the learning processes are presented as well. The last section of this edited volume focuses on possible future scenarios of the learning processes by describing the main models, processes, tools, technologies, and involved organizations. Open Networked "i Learning": Models and Cases of “Next-Gen” Learning is suitable for advanced under- and graduate level students and professors concentrating on computer science, engineering and business management as a secondary text or reference book. Professionals and researchers who work in the related industry of technology enhanced learning will find this book useful as well.
Author: Gianluca Elia Publisher: Springer Science & Business Media ISBN: 1441968547 Category : Computers Languages : en Pages : 176
Book Description
Open Source Applications Springer Book Series Editor: Ernesto Damiani, University of Milan, Italy http://sesar.dti.unimi.it/ossbook/ A new overall interdisciplinary framework called “i learning” integrates managerial organization and technology aspects also known as “technology enhanced learning”. Open Networked "i Learning": Models and Cases of “Next-Gen” Learning begins its investigation with the important changes that have recently occurred within the management, technology and society fields. Social and cultural aspects of society that influence the “dynamics” and the “styles” of the learning processes are presented as well. The last section of this edited volume focuses on possible future scenarios of the learning processes by describing the main models, processes, tools, technologies, and involved organizations. Open Networked "i Learning": Models and Cases of “Next-Gen” Learning is suitable for advanced under- and graduate level students and professors concentrating on computer science, engineering and business management as a secondary text or reference book. Professionals and researchers who work in the related industry of technology enhanced learning will find this book useful as well.
Author: Allison Littlejohn Publisher: Springer ISBN: 9783030180294 Category : Education Languages : en Pages : 0
Book Description
Over the past decades a new form of professionalism has emerged, characterized by factors of fluidity, instability and continual change, leading to the necessitation of new forms of professional development that support agile and flexible expansion of professional practice. At the same time, the digitization of work has had a profound effect on professional practice. This digitization opens up opportunities for new forms of professional learning mediated by technologies through networked learning. Networked learning is believed to lead to a more efficient flow of complex knowledge and routine information within the organization, stimulate innovative behaviour, and result in a higher job satisfaction. In this respect, networked learning can be perceived as an important perspective on both professional and organizational development. This volume provides examples of Networked Professional Learning, it questions the impact of this emerging form of learning on the academy, and it interrogates the impact on teachers of the future. It features three sections that explore networked professional learning from different perspectives: questioning what legitimate forms of networked professional learning are across a broad sampling of professions, how new forms of professional learning impact institutions of higher education, and the value creation that Networked Learning offers professionals in broader educational, economic, and social contexts. The book is of interest to researchers in the area of professional and digital learning, higher education managers, organizational HR professionals, policy makers and students of technology enhanced learning.
Author: Tobias Ley Publisher: Springer ISBN: 3642372856 Category : Education Languages : en Pages : 212
Book Description
This volume constitutes the refereed post-proceedings of the IFIP WG 3.4 International Conference on Open and Social Technologies for Networked Learning, OST 2012, held in Tallinn, Estonia, in July/August 2012. The 16 full papers presented together with 3 short papers and 5 doctoral student papers were thoroughly reviewed and selected from numerous submissions. The papers cover a wide range of topics such as mobile learning, social networks, analytics and recommendations, workplace learning, learning analytics in higher education, collaborative learning in higher education, and managing open and social education.
Author: Nina Bonderup Dohn Publisher: ISBN: 9783319748580 Category : Education Languages : en Pages : 219
Book Description
The book is based on nine selected, peer-reviewed papers presented at the 10th biennial Networked Learning Conference (NLC) 2016 held in Lancaster. Informed by suggestions from delegates, the nine papers have been chosen by the editors (who were the Chairs of the Conference) as exemplars of cutting edge research on networked learning. Further reviews of all papers were conducted once they were revised as chapters for the book. The chapters are organized into two sections: 1) Situating Networked Learning: Looking Back - Moving Forward, 2) New Challenges: Designs for Networked Learning in the Public Arena. Further, we include an introduction which looks at the evolution of trends in Networked Learning through a semantic analysis of conference papers from the 10 conferences. A final chapter draws out perspectives from the chapters and discusses emerging issues. The book is the fifth in the Networked Learning Conference Series.
Author: National Research Council Publisher: National Academies Press ISBN: 0309267919 Category : Science Languages : en Pages : 201
Book Description
Digital technologies and networks are now part of everyday work in the sciences, and have enhanced access to and use of scientific data, information, and literature significantly. They offer the promise of accelerating the discovery and communication of knowledge, both within the scientific community and in the broader society, as scientific data and information are made openly available online. The focus of this project was on computer-mediated or computational scientific knowledge discovery, taken broadly as any research processes enabled by digital computing technologies. Such technologies may include data mining, information retrieval and extraction, artificial intelligence, distributed grid computing, and others. These technological capabilities support computer-mediated knowledge discovery, which some believe is a new paradigm in the conduct of research. The emphasis was primarily on digitally networked data, rather than on the scientific, technical, and medical literature. The meeting also focused mostly on the advantages of knowledge discovery in open networked environments, although some of the disadvantages were raised as well. The workshop brought together a set of stakeholders in this area for intensive and structured discussions. The purpose was not to make a final declaration about the directions that should be taken, but to further the examination of trends in computational knowledge discovery in the open networked environments, based on the following questions and tasks: 1. Opportunities and Benefits: What are the opportunities over the next 5 to 10 years associated with the use of computer-mediated scientific knowledge discovery across disciplines in the open online environment? What are the potential benefits to science and society of such techniques? 2. Techniques and Methods for Development and Study of Computer-mediated Scientific Knowledge Discovery: What are the techniques and methods used in government, academia, and industry to study and understand these processes, the validity and reliability of their results, and their impact inside and outside science? 3. Barriers: What are the major scientific, technological, institutional, sociological, and policy barriers to computer-mediated scientific knowledge discovery in the open online environment within the scientific community? What needs to be known and studied about each of these barriers to help achieve the opportunities for interdisciplinary science and complex problem solving? 4. Range of Options: Based on the results obtained in response to items 1-3, define a range of options that can be used by the sponsors of the project, as well as other similar organizations, to obtain and promote a better understanding of the computer-mediated scientific knowledge discovery processes and mechanisms for openly available data and information online across the scientific domains. The objective of defining these options is to improve the activities of the sponsors (and other similar organizations) and the activities of researchers that they fund externally in this emerging research area. The Future of Scientific Knowledge Discovery in Open Networked Environments: Summary of a Workshop summarizes the responses to these questions and tasks at hand.
Author: Matt Crosslin Publisher: ISBN: 9780989887816 Category : Education Languages : en Pages : 214
Book Description
This book provides an updated look at issues that comprise the online learning experience creation process. As online learning evolves, the lines and distinctions between various classifications of courses has blurred and often vanished. Classic elements of instructional design remain relevant at the same time that newer concepts of learning experience are growing in importance. However, problematic issues new and old still have to be addressed. This handbook explores many of these topics for new and experienced designers alike, whether creating traditional online courses, open learning experiences, or anything in between.
Author: Ian Goodfellow Publisher: MIT Press ISBN: 0262337371 Category : Computers Languages : en Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Daniel Burgos Publisher: Springer Nature ISBN: 9811542767 Category : Education Languages : en Pages : 199
Book Description
This open access book presents how Open Science is a powerful tool to boost Higher Education. The book introduces the reader into Open Access, Open Technology, Open Data, Open Research results, Open Licensing, Open Accreditation, Open Certification, Open Policy and, of course, Open Educational Resources. It brings all these key topics from major players in the field; experts that present the current state of the art and the forthcoming steps towards a useful and effective implementation. This book presents radical, transgenic solutions for recurrent and long-standing problems in Higher Education. Every chapter presents a clear view and a related solution to make Higher Education progress and implement tools and strategies to improve the user’s performance and learning experience. This book is part of a trilogy with companion volumes on Radical Solutions & Learning Analytics and Radical Solutions & eLearning.
Author: Larry CUBAN Publisher: Harvard University Press ISBN: 0674030109 Category : Education Languages : en Pages : 258
Book Description
Impelled by a demand for increasing American strength in the new global economy, many educators, public officials, business leaders, and parents argue that school computers and Internet access will improve academic learning and prepare students for an information-based workplace. But just how valid is this argument? In Oversold and Underused, one of the most respected voices in American education argues that when teachers are not given a say in how the technology might reshape schools, computers are merely souped-up typewriters and classrooms continue to run much as they did a generation ago. In his studies of early childhood, high school, and university classrooms in Silicon Valley, Larry Cuban found that students and teachers use the new technologies far less in the classroom than they do at home, and that teachers who use computers for instruction do so infrequently and unimaginatively. Cuban points out that historical and organizational economic contexts influence how teachers use technical innovations. Computers can be useful when teachers sufficiently understand the technology themselves, believe it will enhance learning, and have the power to shape their own curricula. But these conditions can't be met without a broader and deeper commitment to public education beyond preparing workers. More attention, Cuban says, needs to be paid to the civic and social goals of schooling, goals that make the question of how many computers are in classrooms trivial.
Author: Gráinne Conole Publisher: Springer ISBN: 331924258X Category : Education Languages : en Pages : 663
Book Description
This book constitutes the refereed proceedings of the 10th European Conference on Technology Enhanced Learning, EC-TEL 2015, held in Toledo, Spain, in September 2015. The 27 full papers, 19 short papers, 9 demo papers and 23 posters were carefully reviewed and selected from 176 submissions. They address topics such as blended learning; self-regulated and self directed learning; reflective learning; intelligent learning systems; learning communities; learning design; learning analytics; learning assessment; personalization and adaptation; serious games; social media; massive open online courses (MOOCs); schools of the future.
Author: Gianluca Elia
Author: Gianluca Elia
Author: Allison Littlejohn
Author: Tobias Ley
Author: Nina Bonderup Dohn
Author: National Research Council
Author: Matt Crosslin
Author: Ian Goodfellow
Author: Daniel Burgos
Author: Larry CUBAN
Author: Gráinne Conole