Towards The Learning Grid
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Towards The Learning Grid
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Author : Pierluigi Ritrovato
language : en
Publisher: IOS Press
Release Date : 2005
Towards The Learning Grid written by Pierluigi Ritrovato and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Annotation Towards the Learning Grid Advances in Human Learning Services Volume 127 Frontiers in Artificial Intelligence and Applications Edited by: P. Ritrovato, C. Allison, S.A. Cerri, T. Dimitrakos, M. Gaeta and S. Salerno November 2005, approx. 248 pp., hardcover There is a paradigm shift in informatics in general and in technologies enhancing human learning in particular. The debate between the evolutionaries those that wish to optimize and refine current approaches and the revolutionaries those that support a fundamental change of approach is quite actual. Within the Internet communities, the debate is hidden behind the words semantic WEB versus semantic Grid ; within educational technologists between content/resource centered and conversation centered e-learning, or either between teaching and pedagogy on the one side, and learning and communities of practice on the other. In general, in informatics, the shift from a product-page oriented to a service-conversation oriented view may possibly impact most if not all the foreseen applications, in e-learning, but also in e-science, e-democracy, e-commerce, e-health, etc. Part A of the book is dedicated to Position papers: visions about what to do and why to do it in the next years. The remaining parts (B to D) offer partial answers to how to do it. Part B concerns what we called: Content-centered services, i.e.: a vision of learning systems that privileges knowledge and its structures, standards and their interoperability, storage and retrieval services. The subsequent part C has been called: Holistic services to refer to more mature and integrated solutions that address not only content but more generally the creation and management of human Virtual Communities connected on the Grid in order to offer and consume different services facilitating and enhancing human learning. Finally part D is concerned with new directions in learning services.
The Learning Grid Handbook
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Author : S. Salerno
language : en
Publisher: IOS Press
Release Date : 2008-03-03
The Learning Grid Handbook written by S. Salerno and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-03 with Computers categories.
Grid technologies are rising with the next generation of Internet by defining a powerful computing paradigm. Grid could be used as a technology ‘glue’ providing users with a uniform way to access resources by means of several devices. These technologies can provide a support for Technology Enhanced Learning (TEL) by enabling new learning environments based on collaboration, real direct experience, personalization, ubiquity, accessibility and contextualization. Nevertheless, to be effectively used in TEL, Grid must be complemented with other elements like semantics and educational modelling; leading to the concept of ‘Learning Grid’ as defined in the homonymous Special Interest Group (SIG) of the European Network of Excellence ‘Kaleidoscope: Shaping the Scientific Evolution of Technology Enhanced Learning’. The key challenge that Kaleidoscope is facing is the scientific and structural integration of the European TEL research. In this context, the Learning Grid SIG aims at contributing to the achievement of an improvement in TEL practices through the definition of open, distributed and pervasive environments for effective human learning taking into account that effective learning requires an active attitude of learners and that learning is a social and collaborative activity so requiring a technology that allows for active and realistic experiments, personalization, knowledge creation and evolution, as well as autonomous and dynamic creation of communities. The first section of the book is about the concept of Learning Grid and related technologies. The second chapter analyses and compares existing languages for the dynamic composition of distributed learning resources and services in a Learning Grid.
E Learning
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Author : Safeeullah Soomro
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-04-01
E Learning written by Safeeullah Soomro and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-01 with Computers categories.
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.
Teach Better
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Author : Chad Ostrowski
language : en
Publisher:
Release Date : 2019-09-08
Teach Better written by Chad Ostrowski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-08 with Education categories.
By Chad Ostrowski, Tiffany Ott, Rae Hughart, Jeff Gargas The Teach Better mindset is all about your commitment to be your best self and reach your students in more meaningful ways than you ever imagined. Members of the Teach Better team share their personal journeys as well as stories from other educators who share a vision to be better every day.
Retrieval Practice
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Author : Kate Jones
language : en
Publisher:
Release Date : 2021-01-20
Retrieval Practice written by Kate Jones and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-20 with categories.
retrieval practice is a low effort, high impact strategy - very worthwhile for teachers to know about. This book explains it in simple terms
Statistics For Machine Learning
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Author : Pratap Dangeti
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-21
Statistics For Machine Learning written by Pratap Dangeti and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-21 with Computers categories.
Build Machine Learning models with a sound statistical understanding. About This Book Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering. Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python. Who This Book Is For This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming knowledge in R or Python will be useful. What You Will Learn Understand the Statistical and Machine Learning fundamentals necessary to build models Understand the major differences and parallels between the statistical way and the Machine Learning way to solve problems Learn how to prepare data and feed models by using the appropriate Machine Learning algorithms from the more-than-adequate R and Python packages Analyze the results and tune the model appropriately to your own predictive goals Understand the concepts of required statistics for Machine Learning Introduce yourself to necessary fundamentals required for building supervised & unsupervised deep learning models Learn reinforcement learning and its application in the field of artificial intelligence domain In Detail Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yourself with it. You will also design programs for performing tasks such as model, parameter fitting, regression, classification, density collection, and more. By the end of the book, you will have mastered the required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problem. Style and approach This practical, step-by-step guide will give you an understanding of the Statistical and Machine Learning fundamentals you'll need to build models.
Reinforcement Learning With Tensorflow
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Author : Sayon Dutta
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-24
Reinforcement Learning With Tensorflow written by Sayon Dutta and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-24 with Computers categories.
Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow Key Features Learn reinforcement learning concepts and their implementation using TensorFlow Discover different problem-solving methods for Reinforcement Learning Apply reinforcement learning for autonomous driving cars, robobrokers, and more Book Description Reinforcement Learning (RL), allows you to develop smart, quick and self-learning systems in your business surroundings. It is an effective method to train your learning agents and solve a variety of problems in Artificial Intelligence—from games, self-driving cars and robots to enterprise applications that range from datacenter energy saving (cooling data centers) to smart warehousing solutions. The book covers the major advancements and successes achieved in deep reinforcement learning by synergizing deep neural network architectures with reinforcement learning. The book also introduces readers to the concept of Reinforcement Learning, its advantages and why it’s gaining so much popularity. The book also discusses on MDPs, Monte Carlo tree searches, dynamic programming such as policy and value iteration, temporal difference learning such as Q-learning and SARSA. You will use TensorFlow and OpenAI Gym to build simple neural network models that learn from their own actions. You will also see how reinforcement learning algorithms play a role in games, image processing and NLP. By the end of this book, you will have a firm understanding of what reinforcement learning is and how to put your knowledge to practical use by leveraging the power of TensorFlow and OpenAI Gym. What you will learn Implement state-of-the-art Reinforcement Learning algorithms from the basics Discover various techniques of Reinforcement Learning such as MDP, Q Learning and more Learn the applications of Reinforcement Learning in advertisement, image processing, and NLP Teach a Reinforcement Learning model to play a game using TensorFlow and the OpenAI gym Understand how Reinforcement Learning Applications are used in robotics Who this book is for If you want to get started with reinforcement learning using TensorFlow in the most practical way, this book will be a useful resource. The book assumes prior knowledge of machine learning and neural network programming concepts, as well as some understanding of the TensorFlow framework. No previous experience with Reinforcement Learning is required.
Towards Learning And Instruction In Web 3 0
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Author : Pedro Isaias
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-15
Towards Learning And Instruction In Web 3 0 written by Pedro Isaias and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-15 with Education categories.
Towards Learning and instruction in Web 3.0, which includes selected expanded papers from CELDA (Cognition and Exploratory Learning in the Digital Age) 2010 (http://www.celda-conf.org/) addresses the main issues concerned with evolving learning processes, innovative pedagogies, and technology-based educational applications in the digital age. The convergence of these two disciplines continues to increase and in turn, affects the academic and professional spheres in numerous ways. Towards Learning and Instruction in Web 3.0 addresses paradigms such as just-in-time learning, constructivism, student-centered learning and collaborative approaches which have emerged and are being supported by technological advancements such as simulations,virtual reality and multi-agents systems. This volume touches on both technological as well as psychological and pedagogical issues related to the developments of Web 3.0.
Data Analytics For Smart Grids Applications A Key To Smart City Development
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Author : Devendra Kumar Sharma
language : en
Publisher: Springer Nature
Release Date : 2023-11-29
Data Analytics For Smart Grids Applications A Key To Smart City Development written by Devendra Kumar Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Computers categories.
This book introduces big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as a huge amount of data collection are first discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this book. By dealing with a huge amount of data from electricity networks, meteorological information system, geographical information system, etc., many benefits can be brought to the existing power system and improve customer service as well as social welfare in the era of big data. However, to advance the applications of big data analytics in real smart grids, many issues such as techniques, awareness, and synergies have to be overcome. This book provides deployment of semantic technologies in data analysis along with the latest applications across the field such as smart grids.
Understanding Energy Innovation
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Author : Heather Lovell
language : en
Publisher: Springer Nature
Release Date : 2021-11-15
Understanding Energy Innovation written by Heather Lovell and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-15 with Social Science categories.
This open access book uses smart grids to explore and better understand energy innovation, from a social science perspective. Understanding Energy Innovation has four core themes—networks, nodes, narratives and nostalgia—and each chapter tackles a theme, using case studies from Australia and Europe. Energy innovation is currently occurring at a rapid pace, in response to a host of problems including climate change, high energy prices, and unreliable supply. Understanding Energy Innovation provides ways to think about and plan for energy sector reform and innovation, drawing on core ideas from social and innovation theory, and centred on smart grids as a case study. These academic ideas are written about in an accessible way, recognising that a diversity of people have an interest in energy innovation generally, and smart grids more specifically, and would like to find out more about ways of understanding energy innovation that integrate the social and the political.