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Intelligent tutoring technology is on the verge of a breakthrough into the mainstream of training and education. Over the past 25 years, researchers have learned not only what it takes to develop an effective intelligent tutoring system (ITS), but also what it takes to deploy and use one--the true barometer of a technology's success. This volume brings together a cross-section of ITS researchers from academia, industry, and the government to talk about their experiences in ITS development and technology transfer, both successful and unsuccessful. Section 1 is devoted to detailed descriptions of tools and methods ITS developers can employ during development to facilitate technology adoption. It includes discussions of the paradigmatic change in learning and instructional design that ITS fosters, techniques for gathering design information for ITS domains where empirical or knowledge-based methods are inappropriate, and the conduct of cost-benefits analyses to facilitate ITS funding decisions. Sections 2 and 3 offer numerous case studies of ITS deployment from both industry and the government. All of these case studies--regardless of outcome--provide valuable insights into the dos and don'ts of ITS technology transfer. This volume will be an invaluable resource for all researchers and developers of ITS, as well as for managers and personnel in education and training organizations who must adopt and use ITS technology, and information systems and computing support organization professionals who must support it if it is to succeed.
Business, academia, industry, and the military require well trained personnel to function in highly complex working environments. To reduce high training costs and to improve the effectiveness of training, training system developers often use sophisticated training media such as, simulators, videodisks, and computer-based instruction. The designers of these training media are continually striving to provide maximum training effectiveness at minimum cost. Although literature is available on the implementation and use of specific training media, there is little guidance on a major feature that is central to these media. All of these media present the learner with an interactive simulation of the real world. Effective training system design can be facilitated if the requirements of the real-world task are properly included in training. A conceptual bridge is necessary to link these actual task requirements to the characteristics of the training system. This book provides such a conceptual bridge. The need for improved training is critical in the area of equipment operation, maintenance, and decision making tasks. For example, the importance of improved operator training in the nuclear power industry has become paramount since the Three Mile Island accident and the more serious accident at the Chernobyl reactor in the U. S. S. R. Technology, such as the availability and power of computers,offers a wider variety of training options, but requires additional training system design decisions.
This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.
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.
This collection of essays -- each of which treats an integral aspect of the field -- defines several key concepts and their interrelationships, outlines basic research issues, and discusses near-term applications projects. The book examines three foundations of ITSs in detail -- expert, student diagnostic, and instructional or curricular knowledge -- and describes: * How they are embodied in computer-assisted instructional environments * How these systems accrue the advantages of advanced computer interface technologies * How ITSs will emerge in the real world of complex problem solving * How researchers must learn to evaluate the effectiveness and overall quality of these dynamic systems in a world where machine tutoring may one day be taken for granted. Justine Wise Polier (1903-1987) was educated at Bryn Mawr, Radcliffe, and Barnard. She earned her law degree from Yale Law School where she was editor of the Yale Law Journal. In 1935, she was appointed Justice of the Family Court where she sat for 38 years. Judge Polier took a leave from the bench in 1941 when she was appointed special advisor to Eleanor Roosevelt at the Office of Civilian Defense in Washington. She also served as Chairman of the Committee on Mental Health for New York. Judge Polier was a founder and president of the Wiltwyck School; vice president of the Citizens Committee for Children of N.Y.; vice president of the American Jewish Congress; Delegate to the White House Conferences on Children and on Education. Judge Polier was a member of the Institute of Judicial Administration, American Bar Association. She was on the editorial board of the International Juridical Association and was awarded the 1964 Isaac Ray Award by the American Psychiatric Association for "contributions to the improvement of the relations of Law and Psychiatry." Following her retirement from the bench, she served as the director of the Juvenile Judge division of the Children's Defense Fund. During her illustrious career, Judge Polier was the recipient of numerous awards including: the Citation for Distinguished Service to the City of New York, 1973; the Human Services Award from the New York and Bronx Mental Health Association, 1973; the Eleanor Roosevelt Humanitarian Award from the Board of Directors of Wiltwyck School, 1975. Judge Polier also published numerous reports and several books including: Everyone's Children, Nobody's Child; Back to What Woodshed?; A View from the Bench; and The Rule of Law and the Role of Psychiatry.
This book includes all of the papers presented at the NATO Symposium on Human Detection and Diagnosis of System Failures held at Roskilde, Denmark on August 4-8, 1980. The Symposium was sponsored by the Scientific Affairs Division of NATO and the Rise National Laboratory of Denmark. The goal of the Symposium was to continue the tradition initiated by the NATO Symposium on Monitoring Behavior and Supervisory Control held in Berchtesgaden, F .R. Germany in 1976 and the NATO Symposium on Theory and Measurement of Mental Workload held in Mati, Greece in 1977. To this end, a group of 85 psychologists and engineers coming from industry, government, and academia convened to discuss, and to generate a "state-of-the-art" consensus of the problems and solutions associated with the human IS ability to cope with the increasing scale of consequences of failures within complex technical systems. The Introduction of this volume reviews their findings. The Symposium was organized to include brief formal presentations of papers sent to participants about two months in advance of the meeting, and considerable discussion both during plenary sessions and within more specialized workshops. Summaries of the discussions and workshop reports appear in this volume.