Iee Colloquium On Artificial Intelligence In Educational Software Digest No 1998 313

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Intelligent Tutoring Systems

Author : Gilles Gauthier
Publisher : Springer Science & Business Media
ISBN 13 : 3540676554
Total Pages : 696 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Intelligent Tutoring Systems by : Gilles Gauthier

Download or read book Intelligent Tutoring Systems written by Gilles Gauthier and published by Springer Science & Business Media. This book was released on 2000-06-05 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: ITS 2000 is the fifth international conference on Intelligent Tutoring Systems. The preceding conferences were organized in Montreal in 1988, 1992, and 1996. These conferences were so strongly supported by the international community that it was decided to hold them every two years. ITS’98 was organized by Carol Redfield and Valerie Shute and held in San Antonio, Texas. The program committee included members from 13 countries. They received 140 papers (110 full papers and 30 young researchers papers) from 21 countries. As with any international conference whose proceedings serve as a reference for the field, the program committee faced the demanding task of selecting papers from a particularly high quality set of submissions. This proceedings volume contains 61 papers selected by the program committee from the 110 papers submitted. They were presented at the conference, along with six invited lectures from well known speakers. The papers cover a wide range of subjects including architectures for ITS, teaching and learning strategies, authoring systems, learning environments, instructional designs, cognitive approaches, student modeling, distributed learning environments, evaluation of instructional systems, cooperative systems, Web based training systems, intelligent agents, agent based tutoring systems, intelligent multimedia and hypermedia systems, interface design, and intelligent distance learning.

Computational Intelligence for Technology Enhanced Learning

Author : Fatos Xhafa
Publisher : Springer Science & Business Media
ISBN 13 : 3642112234
Total Pages : 259 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Intelligence for Technology Enhanced Learning by : Fatos Xhafa

Download or read book Computational Intelligence for Technology Enhanced Learning written by Fatos Xhafa and published by Springer Science & Business Media. This book was released on 2010-02-18 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.

Intelligent Tutoring Systems

Author : James C. Lester
Publisher : Springer
ISBN 13 : 3540301399
Total Pages : 939 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Intelligent Tutoring Systems by : James C. Lester

Download or read book Intelligent Tutoring Systems written by James C. Lester and published by Springer. This book was released on 2004-08-18 with total page 939 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Intelligent Tutoring Systems, ITS 2004, held in Macei, Alagoas, Brazil in August/September 2004. The 73 revised full papers and 39 poster papers presented together with abstracts of invited talks, panels, and workshops were carefully reviewed and selected from over 180 submissions. The papers are organized in topical sections on adaptive testing, affect, architectures for ITS, authoring systems, cognitive modeling, collaborative learning, natural language dialogue and discourse, evaluation, machine learning in ITS, pedagogical agents, student modeling, and teaching and learning strategies.

Intelligent Tutoring Systems

Author :
Publisher :
ISBN 13 :
Total Pages : 750 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Intelligent Tutoring Systems by :

Download or read book Intelligent Tutoring Systems written by and published by . This book was released on 2000 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reinforcement Learning, second edition

Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Intelligent Systems

Author : Alexander M. Meystel
Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 728 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Intelligent Systems by : Alexander M. Meystel

Download or read book Intelligent Systems written by Alexander M. Meystel and published by Wiley-Interscience. This book was released on 2002 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive treatment of the field of intelligent systems is written by two of the foremost authorities in the field. The authors clearly examine the theoretical and practical aspects of these systems. The book focuses on the NIST-RCS (Real-time Control System) model that has been used recently in the Mars Rover.

The Quest for Artificial Intelligence

Author : Nils J. Nilsson
Publisher : Cambridge University Press
ISBN 13 : 1139642820
Total Pages : 644 pages
Book Rating : 4.1/5 (396 download)

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Book Synopsis The Quest for Artificial Intelligence by : Nils J. Nilsson

Download or read book The Quest for Artificial Intelligence written by Nils J. Nilsson and published by Cambridge University Press. This book was released on 2009-10-30 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is a field within computer science that is attempting to build enhanced intelligence into computer systems. This book traces the history of the subject, from the early dreams of eighteenth-century (and earlier) pioneers to the more successful work of today's AI engineers. AI is becoming more and more a part of everyone's life. The technology is already embedded in face-recognizing cameras, speech-recognition software, Internet search engines, and health-care robots, among other applications. The book's many diagrams and easy-to-understand descriptions of AI programs will help the casual reader gain an understanding of how these and other AI systems actually work. Its thorough (but unobtrusive) end-of-chapter notes containing citations to important source materials will be of great use to AI scholars and researchers. This book promises to be the definitive history of a field that has captivated the imaginations of scientists, philosophers, and writers for centuries.

Innovative Learning Environments in STEM Higher Education

Author : Jungwoo Ryoo
Publisher : Springer Nature
ISBN 13 : 303058948X
Total Pages : 148 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Innovative Learning Environments in STEM Higher Education by : Jungwoo Ryoo

Download or read book Innovative Learning Environments in STEM Higher Education written by Jungwoo Ryoo and published by Springer Nature. This book was released on 2021-03-11 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: As explored in this open access book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students. In 2018, Drs. Ryoo and Winkelmann explored the opportunities, challenges, and future research initiatives of innovative learning environments (ILEs) in higher education STEM disciplines in their pioneering project: eXploring the Future of Innovative Learning Environments (X-FILEs). Workshop participants evaluated four main ILE categories: personalized and adaptive learning, multimodal learning formats, cross/extended reality (XR), and artificial intelligence (AI) and machine learning (ML). This open access book gathers the perspectives expressed during the X-FILEs workshop and its follow-up activities. It is designed to help inform education policy makers, researchers, developers, and practitioners about the adoption and implementation of ILEs in higher education.

MITRE Systems Engineering Guide

Author :
Publisher :
ISBN 13 : 9780615974422
Total Pages : pages
Book Rating : 4.9/5 (744 download)

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Book Synopsis MITRE Systems Engineering Guide by :

Download or read book MITRE Systems Engineering Guide written by and published by . This book was released on 2012-06-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Supervised Learning with Quantum Computers

Author : Maria Schuld
Publisher : Springer
ISBN 13 : 3319964240
Total Pages : 293 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Supervised Learning with Quantum Computers by : Maria Schuld

Download or read book Supervised Learning with Quantum Computers written by Maria Schuld and published by Springer. This book was released on 2018-08-30 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.

Teaching and Learning STEM

Author : Richard M. Felder
Publisher : John Wiley & Sons
ISBN 13 : 1394196342
Total Pages : 374 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis Teaching and Learning STEM by : Richard M. Felder

Download or read book Teaching and Learning STEM written by Richard M. Felder and published by John Wiley & Sons. This book was released on 2024-03-19 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widely used STEM education book, updated Teaching and Learning STEM: A Practical Guide covers teaching and learning issues unique to teaching in the science, technology, engineering, and math (STEM) disciplines. Secondary and postsecondary instructors in STEM areas need to master specific skills, such as teaching problem-solving, which are not regularly addressed in other teaching and learning books. This book fills the gap, addressing, topics like learning objectives, course design, choosing a text, effective instruction, active learning, teaching with technology, and assessment—all from a STEM perspective. You’ll also gain the knowledge to implement learner-centered instruction, which has been shown to improve learning outcomes across disciplines. For this edition, chapters have been updated to reflect recent cognitive science and empirical educational research findings that inform STEM pedagogy. You’ll also find a new section on actively engaging students in synchronous and asynchronous online courses, and content has been substantially revised to reflect recent developments in instructional technology and online course development and delivery. Plan and deliver lessons that actively engage students—in person or online Assess students’ progress and help ensure retention of all concepts learned Help students develop skills in problem-solving, self-directed learning, critical thinking, teamwork, and communication Meet the learning needs of STEM students with diverse backgrounds and identities The strategies presented in Teaching and Learning STEM don’t require revolutionary time-intensive changes in your teaching, but rather a gradual integration of traditional and new methods. The result will be a marked improvement in your teaching and your students’ learning.

Learning Science in Informal Environments

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309141133
Total Pages : 348 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Learning Science in Informal Environments by : National Research Council

Download or read book Learning Science in Informal Environments written by National Research Council and published by National Academies Press. This book was released on 2009-05-27 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Informal science is a burgeoning field that operates across a broad range of venues and envisages learning outcomes for individuals, schools, families, and society. The evidence base that describes informal science, its promise, and effects is informed by a range of disciplines and perspectives, including field-based research, visitor studies, and psychological and anthropological studies of learning. Learning Science in Informal Environments draws together disparate literatures, synthesizes the state of knowledge, and articulates a common framework for the next generation of research on learning science in informal environments across a life span. Contributors include recognized experts in a range of disciplines-research and evaluation, exhibit designers, program developers, and educators. They also have experience in a range of settings-museums, after-school programs, science and technology centers, media enterprises, aquariums, zoos, state parks, and botanical gardens. Learning Science in Informal Environments is an invaluable guide for program and exhibit designers, evaluators, staff of science-rich informal learning institutions and community-based organizations, scientists interested in educational outreach, federal science agency education staff, and K-12 science educators.

Analytics, Data Science, and Artificial Intelligence

Author : Ramesh Sharda
Publisher :
ISBN 13 : 9781292341552
Total Pages : 832 pages
Book Rating : 4.3/5 (415 download)

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Book Synopsis Analytics, Data Science, and Artificial Intelligence by : Ramesh Sharda

Download or read book Analytics, Data Science, and Artificial Intelligence written by Ramesh Sharda and published by . This book was released on 2020-03-06 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

Artificial Intelligence in the 21st Century

Author : Stephen Lucci
Publisher : Mercury Learning and Information
ISBN 13 : 1944534539
Total Pages : 1168 pages
Book Rating : 4.9/5 (445 download)

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Book Synopsis Artificial Intelligence in the 21st Century by : Stephen Lucci

Download or read book Artificial Intelligence in the 21st Century written by Stephen Lucci and published by Mercury Learning and Information. This book was released on 2015-12-10 with total page 1168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption. eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. FEATURES: • Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP • Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations • Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest • Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications • Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises • Includes DVD with resources, simulations, and figures from the book • Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.

Genetic Algorithms in Search, Optimization, and Machine Learning

Author : David Edward Goldberg
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Genetic Algorithms in Search, Optimization, and Machine Learning by : David Edward Goldberg

Download or read book Genetic Algorithms in Search, Optimization, and Machine Learning written by David Edward Goldberg and published by Addison-Wesley Professional. This book was released on 1989 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.

Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications

Author : L. Ashok Kumar
Publisher : Springer Nature
ISBN 13 : 3030240517
Total Pages : 943 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications by : L. Ashok Kumar

Download or read book Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications written by L. Ashok Kumar and published by Springer Nature. This book was released on 2020-03-12 with total page 943 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the complexity, and heterogeneity of the smart grid and the high volume of information to be processed, artificial intelligence techniques and computational intelligence appear to be some of the enabling technologies for its future development and success. The theme of the book is “Making pathway for the grid of future” with the emphasis on trends in Smart Grid, renewable interconnection issues, planning-operation-control and reliability of grid, real time monitoring and protection, market, distributed generation and power distribution issues, power electronics applications, computer-IT and signal processing applications, power apparatus, power engineering education and industry-institute collaboration. The primary objective of the book is to review the current state of the art of the most relevant artificial intelligence techniques applied to the different issues that arise in the smart grid development.

Affective Computing

Author : Rosalind W. Picard
Publisher : MIT Press
ISBN 13 : 9780262661157
Total Pages : 308 pages
Book Rating : 4.6/5 (611 download)

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Book Synopsis Affective Computing by : Rosalind W. Picard

Download or read book Affective Computing written by Rosalind W. Picard and published by MIT Press. This book was released on 2000-07-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. The latest scientific findings indicate that emotions play an essential role in decision making, perception, learning, and more—that is, they influence the very mechanisms of rational thinking. Not only too much, but too little emotion can impair decision making. According to Rosalind Picard, if we want computers to be genuinely intelligent and to interact naturally with us, we must give computers the ability to recognize, understand, even to have and express emotions. Part 1 of this book provides the intellectual framework for affective computing. It includes background on human emotions, requirements for emotionally intelligent computers, applications of affective computing, and moral and social questions raised by the technology. Part 2 discusses the design and construction of affective computers. Although this material is more technical than that in Part 1, the author has kept it less technical than typical scientific publications in order to make it accessible to newcomers. Topics in Part 2 include signal-based representations of emotions, human affect recognition as a pattern recognition and learning problem, recent and ongoing efforts to build models of emotion for synthesizing emotions in computers, and the new application area of affective wearable computers.