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.
May the Forcing Functions be with You: The Stimulating World of AIED and ITS Research It is my pleasure to write the foreword for Advances in Intelligent Tutoring S- tems. This collection, with contributions from leading researchers in the field of artificial intelligence in education (AIED), constitutes an overview of the many challenging research problems that must be solved in order to build a truly intel- gent tutoring system (ITS). The book not only describes some of the approaches and techniques that have been explored to meet these challenges, but also some of the systems that have actually been built and deployed in this effort. As discussed in the Introduction (Chapter 1), the terms “AIED” and “ITS” are often used int- changeably, and there is a large overlap in the researchers devoted to exploring this common field. In this foreword, I will use the term “AIED” to refer to the - search area, and the term “ITS” to refer to the particular kind of system that AIED researchers build. It has often been said that AIED is “AI-complete” in that to produce a tutoring system as sophisticated and effective as a human tutor requires solving the entire gamut of artificial intelligence research (AI) problems.
Design Recommendations for Intelligent Tutoring Systems explores the impact of intelligent tutoring system design on education and training. Specifically, this volume examines “Instructional Management” techniques, strategies and tactics, and identifies best practices, emerging concepts and future needs to promote efficient and effective adaptive tutoring solutions. Design recommendations include current, projected, and emerging capabilities within the Generalized Intelligent Framework for Tutoring (GIFT), an open source, modular, service-oriented architecture developed to promote simplified authoring, reuse, standardization, automated instructional management and analysis of tutoring technologies.
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 volume explores advances in theory, research and technologies needed to advance the state of the art of intelligent tutoring systems (ITSs) for teams.
Design Recommendations for Intelligent Tutoring Systems (ITSs) explores the impact of intelligent tutoring system design on education and training. Specifically, this volume examines “Domain Modeling”. The “Design Recommendations book series examines tools and methods to reduce the time and skill required to develop Intelligent Tutoring Systems with the goal of improving the Generalized Intelligent Framework for Tutoring (GIFT). GIFT is a modular, service-oriented architecture developed to capture simplified authoring techniques, promote reuse and standardization of ITSs along with automated instructional techniques and effectiveness evaluation capabilities for adaptive tutoring tools and methods.
This is a collection of essays on issues related to the evolutionary design and the practical future of intelligent tutoring systems. Following in the tradition of Foundations of Intelligent Tutoring Systems and Intelligent Tutoring Systems: Lessons Learned, this volume examines some of the visions and near-term issues that have been further explored and better defined since those groundbreaking books first appeared. Questions addressed in this volume include: *How can knowledge bases generate explanations? *Will case-based reasoning techniques be worth pursuing in the ITS framework? *Will high performance skills be successfully taught in an ITS design? *Are there dimensions of ITS design which the research laboratories are ignoring, and ignoring at the customer's peril? Of particular importance to those engaged in research and development, this book will be of value to all who wish to apprise themselves of the advances being made in the rapidly evolving field of intelligent tutoring systems.
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
