E Learning 4 0
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E-learning
Author: Safeeullah Soomro
language: en
Publisher: BoD – Books on Demand
Release Date: 2010-04-01
This book is consisting of 24 chapters which are focusing on the basic and applied research regarding e‐learning systems. Authors made efforts to provide theoretical as well as practical approaches to solve open problems through their elite research work. This book increases knowledge in the following topics such as e‐learning, e‐Government, Data mining in e‐learning based systems, LMS systems, security in e‐learning based systems, surveys regarding teachers to use e‐learning systems, analysis of intelligent agents using e‐learning, assessment methods for e‐learning and barriers to use of effective e‐learning systems in education. Basically this book is an open platform for creative discussion for future e‐learning based systems which are essential to understand for the students, researchers, academic personals and industry related people to enhance their capabilities to capture new ideas and provides valuable solution to an international community.
Leading and Managing e-Learning
This book provides state-of-the-art knowledge on how to establish, organize, staff, and develop online education/e-learning programs. It strengthens knowledge of the different technologies, infrastructure and issues necessary for leaders and managers to make competent decisions. It is the most comprehensive guide for administrative practice currently available for e-learning leaders and managers.
AI Injected e-Learning
This book reviews a blend of artificial intelligence (AI) approaches that can take e-learning to the next level by adding value through customization. It investigates three methods: crowdsourcing via social networks; user profiling through machine learning techniques, and personal learning portfolios using learning analytics. Technology and education have drawn closer together over the years as they complement each other within the domain of e-learning, and different generations of online education reflect the evolution of new technologies as researcher and developers continuously seek to optimize the electronic medium to enhance the effectiveness of e-learning. Artificial intelligence (AI) for e-learning promises personalized online education through a combination of different intelligent techniques that are grounded in established learning theories while at the same time addressing a number of common e-learning issues. This book is intended for education technologists and e-learning researchers as well as for a general readership interested in the evolution of online education based on techniques like machine learning, crowdsourcing, and learner profiling that can be merged to characterize the future of personalized e-learning.