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This book provides an overview of the current state of discussion from different perspectives. It starts with the European view. Representatives of the CEC present the political strategies and objectives of the IV Framework Programme regarding education and training supported by technology and telematics. International experts join the discussion, specifying political, cultural, sociological, psychological and market factors which determine the success of the implementation of new learning environments. How should learning systems be developed and evaluated: this question is tackled in the following section. Specific project desciptions show how the involvement of different user groups has been achieved: home learners, small and medium-sized enterprises, large companies, secondary and tertiary education. The perspective then shifts to the different components of learning systems: the management of virtual space, the economical production of learning material, the use of simulation... A more technology-oriented section discussing questions of different technologies and standards concludes the publication.
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The power and potential of current ITS technology is described here by the designers and builders of major ITS projects. The book illustrates how, in less than a decade, the field of Intelligent Tutoring Systems has advanced from experimental systems in universities to systems that perform practical, real-world tasks. Intelligent Tutoring Systems: Lessons Learned provides a first-hand, detailed account of how these systems were designed and built out of state-of-the-art technology. The essays build on the basic research foundations of the field and define the abilities and limitations of current knowledge. With this critical volume, teachers and industrial trainers have a realistic view of the future of their professions, and students, researchers, and professionals in AI, education, cognitive science, and psychology have both an introduction to the field and a comprehensive reference.
Includes extensive information on I.E. and work measurement software. Focuses on the MTM material that has been refined for more than three decades. Provides accurate answers to all questions regarding MTM-1 found in the MTM Association for Standards and Research MTM-1 Examinations. Covers the minimum work measurement background essential to all who must understand and apply MTM-1.
The field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. This study aims to open opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area.