Towards the Learning Grid PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Towards the Learning Grid PDF full book. Access full book title Towards the Learning Grid by Pierluigi Ritrovato. Download full books in PDF and EPUB format.
Author: Pierluigi Ritrovato
Publisher: IOS Press
ISBN: 1586035347
Category : Computers
Languages : en
Pages : 252
Get Book Here
Book Description
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.
Author: Pierluigi Ritrovato
Publisher: IOS Press
ISBN: 1586035347
Category : Computers
Languages : en
Pages : 252
Get Book Here
Book Description
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.
Author: Chad Ostrowski
Publisher:
ISBN: 9781949595666
Category : Education
Languages : en
Pages : 174
Get Book Here
Book Description
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.
Author: Saverio Salerno
Publisher: IOS Press
ISBN: 158603829X
Category : Computers
Languages : en
Pages : 260
Get Book Here
Book Description
Deals with the concept of Learning Grid and related technologies. This book analyses and compares various languages for the dynamic composition of distributed learning resources and services in a Learning Grid.
Author: Kate Jones
Publisher:
ISBN: 9780645008401
Category :
Languages : en
Pages :
Get Book Here
Book Description
retrieval practice is a low effort, high impact strategy - very worthwhile for teachers to know about. This book explains it in simple terms
Author: Jay Hambidge
Publisher:
ISBN:
Category : Decoration and ornament
Languages : en
Pages : 216
Get Book Here
Book Description
Author: Safeeullah Soomro
Publisher: BoD – Books on Demand
ISBN: 9533070927
Category : Computers
Languages : en
Pages : 464
Get Book Here
Book Description
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.
Author: Ladjel Bellatreche
Publisher: Springer Science & Business Media
ISBN: 3642244424
Category : Computers
Languages : en
Pages : 298
Get Book Here
Book Description
This book constitutes the refereed proceedings of the First International Conference on Model and Data Engineering, MEDI 2011, held in Óbidos, Portugal, in September 2011. The 18 revised full papers presented together with 8 short papers and three keynotes were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on ontology engineering; Web services and security; advanced systems; knowledge management; model specification and verification; and models engineering.
Author: Donald G. Reinertsen
Publisher: Celeritas Pub
ISBN: 9781935401001
Category : Business & Economics
Languages : en
Pages : 294
Get Book Here
Book Description
This is the first book that comprehensively describes the underlying principles that create flow in product development processes. It covers 175 principles organized into eight major areas. It is of interest to managers and technical professionals responsible for product development processes.
Author: Zhicai Zhong
Publisher: Springer Science & Business Media
ISBN: 1447148509
Category : Technology & Engineering
Languages : en
Pages : 831
Get Book Here
Book Description
Information engineering and applications is the field of study concerned with constructing information computing, intelligent systems, mathematical models, numerical solution techniques, and using computers and other electronic devices to analyze and solve natural scientific, social scientific and engineering problems. Information engineering is an important underpinning for techniques used in information and computational science and there are many unresolved problems worth studying. The Proceedings of the 2nd International Conference on Information Engineering and Applications (IEA 2012), which was held in Chongqing, China, from October 26-28, 2012, discusses the most innovative research and developments including technical challenges and social, legal, political, and economic issues. A forum for engineers and scientists in academia, industry, and government, the Proceedings of the 2nd International Conference on Information Engineering and Applications presents ideas, results, works in progress, and experience in all aspects of information engineering and applications.
Author: Pratap Dangeti
Publisher: Packt Publishing Ltd
ISBN: 1788291220
Category : Computers
Languages : en
Pages : 438
Get Book Here
Book Description
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.
