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Digital learning proves that the digital revolution has almost no limits in the world. The extension of e-learning to digital learning has completely changed training and learning habits. In universities and companies and even at home, anytime and anywhere, innovative e-learning tools, such as online videos, e-learning quizzes, interactive games, and digital learning courses, can enhance knowledge exchange. The Handbook of Research on Scripting, Media Coverage, and Implementation of E-Learning Training in LMS Platforms considers the design and development of management systems, learner profiles, learning activities, and e-learning projects and discusses the design, development, and implementation in an LMS platform of e-learning projects based on educational engineering models. Covering key topics such as teaching practices, distance learning, and artificial intelligence, this reference work is ideal for industry professionals, administrators, policymakers, researchers, academicians, scholars, instructors, and students.
Materiality and Space focuses on how organizations and managing are bound with the material forms and spaces through which humans act and interact at work. It concentrates on organizational practices and pulls together three separate domains that are rarely looked at together: sociomateriality, sociology of space, and social studies of technology. The contributions draw on and combine several of these domains, and propose analyses of spaces and materiality in a range of organizational practices such as collaborative workspaces, media work, urban management, e-learning environments, managerial control, mobile lives, institutional routines and professional identity. Theoretical insights are also developed by Pickering on the material world, Lyytinen on affordance, Lorino on architexture and Introna on sociomaterial assemblages in order to delve further into conceptualizing materiality in organizations.
As part of e-learning, adaptive systems are more specialized and focus on the adaptation of learning content and presentation of this content. An adaptive system focuses on how knowledge is learned and pays attention to the activities, cognitive structures, and context of the learning material. The adaptive term refers to the automatic adaptation of the system to the learner. The needs of the learner are borne by the system itself. The learner did not ask to change the parameters of the system to his own needs; it is rather the needs of the learner that will be supposed by the system. The system adapts according to this necessity. Personalization and Collaboration in Adaptive E-Learning is an essential reference book that aims to describe the specific steps in designing a scenario for a collaborative learning activity in the particular context of personalization in adaptive systems and the key decisions that need to be made by the teacher-learner. By applying theoretical and practical aspects of personalization in adaptive systems and applications within education, this collection features coverage on a broad range of topics that include adaptive teaching, personalized learning, and instructional design. This book is ideally designed for instructional designers, curriculum developers, educational software developers, IT specialists, educational administrators, professionals, professors, researchers, and students seeking current research on comparative studies and the pedagogical issues of personalized and collaborative learning.
The contributions to the conference held in Geneva in 2003, focus on the very latest approaches to 'e-Learning'. The power and enormous diversity of this medium, becomes apparent as experts from all over the world compare notes and raise a whole new range of issues. The reader can examine the presentations of the various practitioners, or go straight to the discussions at the end, for insights into what the future holds for teachers and students alike.
We are at a crucial time for the production and dissemination of knowledge – one in which the scientific community is questioning the nature of the digital humanities. Within this context, Learner Support in Online Learning Environments proposes, by taking into consideration the notion of assistance in a learning context, an original method of positioning digital resources for teachers, students and researchers in the humanities and social sciences. Questioning existing theoretical frameworks and prototypes, learner support in digital environments is presented as both a process and a result integrating a variety of resources. Some of these resources already exist, some may be adapted from existing objects and still others have yet to be imagined. The end goal is to facilitate both independent and group-based learning activities.
This book publishes the best papers accepted and presented at the 3rd edition of the International Conference on Advanced Intelligent Systems for Sustainable Development Applied to Agriculture, Energy, Health, Environment, Industry, Education, Economy, and Security (AI2SD’2020). This conference is one of the biggest amalgamations of eminent researchers, students, and delegates from both academia and industry where the collaborators have an interactive access to emerging technology and approaches globally. In this book, readers find the latest ideas addressing technological issues relevant to all areas of the social and human sciences for sustainable development. Due to the nature of the conference with its focus on innovative ideas and developments, the book provides the ideal scientific and brings together very high-quality chapters written by eminent researchers from different disciplines, to discover the most recent developments in scientific research.
This critical analysis of the state of open and flexible learning examines the characteristics, needs and learning approaches of students, considers whether or not current provision is successful and how student retention can be improved.
“There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”--The New York Times Book Review An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them The human brain is an extraordinary learning machine. Its ability to reprogram itself is unparalleled, and it remains the best source of inspiration for recent developments in artificial intelligence. But how do we learn? What innate biological foundations underlie our ability to acquire new information, and what principles modulate their efficiency? In How We Learn, Stanislas Dehaene finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain’s learning algorithms in our schools and universities, as well as in everyday life and at any age.
This textbook includes all 13 chapters of Français interactif. It accompanies www.laits.utexas.edu/fi, the web-based French program developed and in use at the University of Texas since 2004, and its companion site, Tex's French Grammar (2000) www.laits.utexas.edu/tex/ Français interactif is an open acess site, a free and open multimedia resources, which requires neither password nor fees. Français interactif has been funded and created by Liberal Arts Instructional Technology Services at the University of Texas, and is currently supported by COERLL, the Center for Open Educational Resources and Language Learning UT-Austin, and the U.S. Department of Education Fund for the Improvement of Post-Secondary Education (FIPSE Grant P116B070251) as an example of the open access initiative.