Highlighting and illustrating several important and interesting theoretical trends that have emerged in the continuing development of instructional technology, this book's organizational framework is based on the notion of two opposing camps. One evolves out of the intelligent tutoring movement, which employs artificial-intelligence technologies in the service of student modeling and precision diagnosis, and the other emerges from a constructivist/developmental perspective that promotes exploration and social interaction, but tends to reject the methods and goals of the student modelers. While the notion of opposing camps tends to create an artificial rift between groups of researchers, it represents a conceptual distinction that is inherently more interesting and informative than the relatively meaningless divide often drawn between "intelligent" and "unintelligent" instructional systems. An evident trend is that researchers in both "camps" view their computer learning environments as "cognitive tools" that can enhance learning, performance, and understanding. Cognitive tools are objects provided by the instructional environment that allow students to incorporate new auxiliary methods or symbols into their social problem solving which otherwise would be unavailable. A final section of the book represents researchers who are assimilating and accommodating the wisdom and creativity of their neighbors from both camps, perhaps forming the look of technology for the future. When the idea of model tracing in a computer-based environment is combined with appreciation for creative mind-extension cognitive tools and for how a community of learners can facilitate learning, a camp is created where AI technologists and social constructivist learning theorists can feel equally at home.

Hypermedia technology needs a creative approach from the outset in the design of software to facilitate human thinking and learning. This book opens a discussion of the potential of hypermedia and related approaches to provide open exploratory learning environments. The papers in the book are based on contributions to a NATO Advanced Research Workshop held in July1990 and are grouped into six sections: - Semantic networking as cognitive tools, - Expert systems as cognitive tools, - Hypertext as cognitive tools, - Collaborative communication tools, - Microworlds: context-dependent cognitive tools, - Implementing cognitive tools. The book will be valuable for those who design, implement and evaluate learning programs and who seek to escape from rigid tactics like programmed instruction and behavioristic approaches. The book presents principles for exploratory systems that go beyond existing metaphors of instruction and provokes the reader to think in a new way about the cognitive level of human-computer interaction.

This book provides a thorough explanation of MindtoolsM197>alternative ways of using computer applications to engage learners in constructive, higher-order thinking about specific areas of study. It presents a rationale for using these tools, discusses individual Mindtools and their use, and suggests effective ways to teach with each Mindtool. Weaves a critical thinking framework throughout the text. Expands coverage of systems modeling tools with new sections on analysis and reasoning. Adds an entirely new section of the book, which includes chapters on intentional information searching via Internet and visualization tools. For educators and school administrators.

Learning Issues for Intelligent Tutoring Systems arrays the most current and exciting research in this dynamic and growing area of cognitive science. The various contributions address the design and use of instructional systems as well as the important theoretical and practical questions involved in implementing knowledge-based systems. This book offers complete and up-to-date reviews of the major research programs in computer-aided instruction and intelligent tutoring systems. Learning Issues for Intelligent Tutoring Systems is an important and useful introduction to this rapidly changing field.

In a highly engaging style, Rheingold tells the story of what he calls the patriarchs, pioneers, and infonauts of the computer, focusing in particular on such pioneers as J. C. R. Licklider, Doug Engelbart, Bob Taylor, and Alan Kay. The digital revolution did not begin with the teenage millionaires of Silicon Valley, claims Howard Rheingold, but with such early intellectual giants as Charles Babbage, George Boole, and John von Neumann. In a highly engaging style, Rheingold tells the story of what he calls the patriarchs, pioneers, and infonauts of the computer, focusing in particular on such pioneers as J. C. R. Licklider, Doug Engelbart, Bob Taylor, and Alan Kay. Taking the reader step by step from nineteenth-century mathematics to contemporary computing, he introduces a fascinating collection of eccentrics, mavericks, geniuses, and visionaries. The book was originally published in 1985, and Rheingold's attempt to envision computing in the 1990s turns out to have been remarkably prescient. This edition contains an afterword, in which Rheingold interviews some of the pioneers discussed in the book. As an exercise in what he calls "retrospective futurism," Rheingold also looks back at how he looked forward.

First published in 2005. This Volume 40, No 4 of Autumn 2005 of the Educational Psychologist. The articles appearing in this special issue of Educational Psychologist reflect a growing interest by researchers from various fields in examining the use of computers as metacognitive tools for enhancing learning. This topic has become increasingly important as computer-based learning environments become ubiquitous and students use them extensively both in and out of school to learn about conceptually rich domains.

This text examines the Mindtool concept - alternative ways of using computer applications to engage in constructive, high-order thinking about particular areas of study, thus extending learning outcomes and expectations beyond recall and helping learners become self-directed critical thinkers. Jonassen presents: a rationale for using Mindtool; in-depth discussions of the indiviidual Mindtools and their use; and suggestions for teaching with mindtools and evaluating the results.

The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.

The Closed World offers a radically new alternative to the canonical histories of computers and cognitive science. Arguing that we can make sense of computers as tools only when we simultaneously grasp their roles as metaphors and political icons, Paul Edwards shows how Cold War social and cultural contexts shaped emerging computer technology--and were transformed, in turn, by information machines. The Closed World explores three apparently disparate histories--the history of American global power, the history of computing machines, and the history of subjectivity in science and culture--through the lens of the American political imagination. In the process, it reveals intimate links between the military projects of the Cold War, the evolution of digital computers, and the origins of cybernetics, cognitive psychology, and artificial intelligence. Edwards begins by describing the emergence of a "closed-world discourse" of global surveillance and control through high-technology military power. The Cold War political goal of "containment" led to the SAGE continental air defense system, Rand Corporation studies of nuclear strategy, and the advanced technologies of the Vietnam War. These and other centralized, computerized military command and control projects--for containing world-scale conflicts--helped closed-world discourse dominate Cold War political decisions. Their apotheosis was the Reagan-era plan for a " Star Wars" space-based ballistic missile defense. Edwards then shows how these military projects helped computers become axial metaphors in psychological theory. Analyzing the Macy Conferences on cybernetics, the Harvard Psycho-Acoustic Laboratory, and the early history of artificial intelligence, he describes the formation of a "cyborg discourse." By constructing both human minds and artificial intelligences as information machines, cyborg discourse assisted in integrating people into the hyper-complex technological systems of the closed world. Finally, Edwards explores the cyborg as political identity in science fiction--from the disembodied, panoptic AI of 2001: A Space Odyssey, to the mechanical robots of Star Wars and the engineered biological androids of Blade Runner--where Information Age culture and subjectivity were both reflected and constructed. Inside Technology series