Intelligent Instruction Computer

Intelligent Instruction Computer
Author: Marshall J. Farr
Publisher: Routledge
Total Pages: 374
Release: 2013-01-11
Genre: Social Science
ISBN: 1136548076

This text records the dramatic new prospects for computers in instruction in school, the workplace and high technology research facilities. If offers teachers and trainers a vision of how their professions will be fundamentally altered by these new systems and how their roles will be changed. The challenges and opportunities exposed by these developments in intelligent instruction by computer are many. Topics discussed include: apprenticeship and training in the workplace; automated tutoring in interactive environment; two approaches to simulation composition for training; and transfer, adaption, and use of intelligent tutoring technology.

Handbook On Computer Learning And Intelligence (In 2 Volumes)

Handbook On Computer Learning And Intelligence (In 2 Volumes)
Author: Plamen Parvanov Angelov
Publisher: World Scientific
Total Pages: 1057
Release: 2022-06-29
Genre: Computers
ISBN: 9811247331

The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)

Errors and Intelligence in Computer-Assisted Language Learning

Errors and Intelligence in Computer-Assisted Language Learning
Author: Trude Heift
Publisher: Routledge
Total Pages: 300
Release: 2007-11-13
Genre: Education
ISBN: 1134233566

This book provides the first comprehensive overview of theoretical issues, historical developments and current trends in ICALL (Intelligent Computer-Assisted Language Learning). It assumes a basic familiarity with Second Language Acquisition (SLA) theory and teaching, CALL and linguistics. It is of interest to upper undergraduate and/or graduate students who study CALL, SLA, language pedagogy, applied linguistics, computational linguistics or artificial intelligence as well as researchers with a background in any of these fields.

Building Intelligent Interactive Tutors

Building Intelligent Interactive Tutors
Author: Beverly Park Woolf
Publisher: Morgan Kaufmann
Total Pages: 480
Release: 2010-07-28
Genre: Computers
ISBN: 0080920047

Building Intelligent Interactive Tutors discusses educational systems that assess a student's knowledge and are adaptive to a student's learning needs. The impact of computers has not been generally felt in education due to lack of hardware, teacher training, and sophisticated software. and because current instructional software is neither truly responsive to student needs nor flexible enough to emulate teaching. Dr. Woolf taps into 20 years of research on intelligent tutors to bring designers and developers a broad range of issues and methods that produce the best intelligent learning environments possible, whether for classroom or life-long learning. The book describes multidisciplinary approaches to using computers for teaching, reports on research, development, and real-world experiences, and discusses intelligent tutors, web-based learning systems, adaptive learning systems, intelligent agents and intelligent multimedia. It is recommended for professionals, graduate students, and others in computer science and educational technology who are developing online tutoring systems to support e-learning, and who want to build intelligence into the system. - Combines both theory and practice to offer most in-depth and up-to-date treatment of intelligent tutoring systems available - Presents powerful drivers of virtual teaching systems, including cognitive science, artificial intelligence, and the Internet - Features algorithmic material that enables programmers and researchers to design building components and intelligent systems

Artificial Intelligence and Machine Learning for EDGE Computing

Artificial Intelligence and Machine Learning for EDGE Computing
Author: Rajiv Pandey
Publisher: Academic Press
Total Pages: 516
Release: 2022-04-26
Genre: Science
ISBN: 0128240555

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. - Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing - Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers - Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints

Intelligent Web-Based English Instruction in Middle Schools

Intelligent Web-Based English Instruction in Middle Schools
Author: Jia, Jiyou
Publisher: IGI Global
Total Pages: 372
Release: 2014-10-31
Genre: Education
ISBN: 1466666080

The integration of technology into educational environments has become more prominent over the years. The combination of technology and face-to-face interaction with instructors allows for a thorough, more valuable educational experience. Intelligent Web-Based English Instruction in Middle Schools addresses the concerns associated with the use of computer-based systems in teaching English as a foreign language, proving the effectiveness and efficiency of technological integration in modern classrooms. Highlighting cases based on current practices in four diverse schools, this book is a vital reference source for practitioners and researchers interested in the educational benefits of educational technologies in language acquisition.

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning

Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
Author: Thanasis Daradoumis
Publisher: Springer
Total Pages: 344
Release: 2012-03-09
Genre: Technology & Engineering
ISBN: 3642285864

Adaptation and personalization have been extensively studied in CSCL research community aiming to design intelligent systems that adaptively support eLearning processes and collaboration. Yet, with the fast development in Internet technologies, especially with the emergence of new data technologies and the mobile technologies, new opportunities and perspectives are opened for advanced adaptive and personalized systems. Adaptation and personalization are posing new research and development challenges to nowadays CSCL systems. In particular, adaptation should be focused in a multi-dimensional way (cognitive, technological, context-aware and personal). Moreover, it should address the particularities of both individual learners and group collaboration. As a consequence, the aim of this book is twofold. On the one hand, it discusses the latest advances and findings in the area of intelligent adaptive and personalized learning systems. On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems. Given the variety of learning needs as well as the existence of different technological solutions, the book exemplifies the methodologies and best practices through several case studies and adaptive real-world collaborative learning scenarios, which show the advancement in the field of analysis, design and implementation of intelligent adaptive and personalized systems.

Intelligent Support for Computer Science Education

Intelligent Support for Computer Science Education
Author: Barbara Di Eugenio
Publisher:
Total Pages:
Release: 2021-08
Genre: Artificial intelligence
ISBN: 9781032049861

"Intelligent Support for Computer Science Education presents the authors' research journey into the effectiveness of human tutoring, with the goal of developing educational technology that can be used to improve introductory Computer Science education at the undergraduate level. Nowadays, Computer Science education is central to the concerns of society, as attested by the penetration of information technology in all aspects of our lives; consequently, in the last few years interest in Computer Science at all levels of schooling, especially at the college level, has been flourishing. However, introductory concepts in Computer Science such as data structures and recursion are difficult for novices to grasp. This book will be of special interest to the Computer Science education community, specifically instructors of introductory courses at the college level, and Advanced Placement (AP) courses at the high school level. Additionally, all the authors' work is relevant to the Educational Technology community, especially to those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining, in particular as applied to human-human pedagogical interactions and to user interaction with educational software"--