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The Human Tutorial Dialogue Project

The Human Tutorial Dialogue Project
Author: Barbara A. Fox
Publisher: CRC Press
Total Pages: 146
Release: 2020-11-26
Genre: Technology & Engineering
ISBN: 1000149102

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This volume's goal is to begin to document the dialogue processes in naturally-occurring human tutoring, in the context of informing the design of intelligent tutoring systems, and of interactive systems in general. This project represents the first empirical study of human tutorial dialogue from a conversation analytic perspective -- the conversational interaction is the focus of analysis rather than larger scale techniques for teaching. It is also the first study of tutoring to make use of large quantities of carefully transcribed tutoring conversations/dialogues. The motivation for this focus comes from two sources: First, although all tutoring systems have implicit theory or theories of minute-level interaction built into them, little research has been done to form an empirical foundation for such theories. Therefore, current systems tend to be based on the designers' intuitions rather than on data. This fact almost certainly makes systems unnecessarily brittle in actual use. Second, of the small but growing collection of empirical studies of tutoring, almost all have been designed and carried out by computer scientists, whose training naturally leads them to be concerned with interaction at the level of knowledge transfer and teaching techniques. Fox's training as a linguist brings attention to the minute-by-minute details of the interaction, in particular to the processes that bring the interaction into existence and allow it to develop relatively smoothly.


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Publisher: IOS Press
Total Pages: 3525
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Artificial Intelligence in Education

Artificial Intelligence in Education
Author: R. Luckin
Publisher: IOS Press
Total Pages: 764
Release: 2007-06-29
Genre: Computers
ISBN: 1607502585

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The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualised as a research community and Interactive Learning Environments were initially developed. Technology is smaller, more mobile, networked, pervasive and often ubiquitous as well as being provided by the standard desktop PC. This creates the potential for technology supported learning wherever and whenever learners need and want it. However, in order to take advantage of this potential for greater flexibility we need to understand and model learners and the contexts with which they interact in a manner that enables us to design, deploy and evaluate technology to most effectively support learning across multiple locations, subjects and times. The AIED community has much to contribute to this endeavour. This publication contains papers, posters and tutorials from the 2007 Artificial Intelligence in Education conference in Los Angeles, CA, USA.


Technology-Based Education

Technology-Based Education
Author: Lisa M. PytlikZillig
Publisher: IAP
Total Pages: 290
Release: 2006-05-01
Genre: Education
ISBN: 1607525011

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This volume will highlight papers presented at the second Nebraska Symposium on Information Technology in Education. With chapters focusing on the latest research findings and theoretical principles for using technology in education, the volume will extend findings from current research on technology-mediated instruction into a set of practical principles for designers, teachers, and managers of educational technology. Contributors will identify technical and design features required for sharing of content and assessment tools and will target promising areas for future research and development in technology-based learning, instruction, and assessment.


Where Humans Meet Machines

Where Humans Meet Machines
Author: Amy Neustein
Publisher: Springer Science & Business Media
Total Pages: 317
Release: 2013-06-22
Genre: Technology & Engineering
ISBN: 1461469341

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Editors Amy Neustein and Judith A. Markowitz have recruited a talented group of contributors to introduce the next generation of natural language technologies to resolve some of the most vexing natural-language problems that compromise the performance of speech systems today. This fourteen-chapter anthology consists of contributions from industry scientists and from academicians working at major universities in North America and Europe. They include researchers who have played a central role in DARPA-funded programs and developers who craft real-world solutions for corporations. This anthology is aimed at speech engineers, system developers, computer scientists, AI researchers, and others interested in utilizing natural-language technology in both spoken and text-based applications.


The PSI Handbook of Virtual Environments for Training and Education

The PSI Handbook of Virtual Environments for Training and Education
Author: Joseph V. Cohn
Publisher: Bloomsbury Publishing USA
Total Pages: 1441
Release: 2008-11-30
Genre: Psychology
ISBN: 031335166X

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The increasingly complex environment of the 21st century demands unprecedented knowledge, skills and abilities for people from all walks of life. One powerful solution that blends the science of learning with the technological advances of computing is Virtual Environments. In the United States alone, the Department of Defense has invested billions of dollars over the past decade to make this field and its developments as effective as possible. This 3-volume work provides, for the first time, comprehensive coverage of the many different domains that must be integrated for Virtual Environments to fully provide effective training and education. The first volume is dedicated to a thorough understanding of learning theory, requirements definition and performance measurement, providing insight into the human-centric specifications the VE must satisfy to succeed. Volume II provides the latest information on VE component technologies, and Volume III offers discussion of an extensive collection of integrated systems presented as VE use-cases, and results of effectiveness evaluation studies. The text includes emerging directions of this evolving technology, from cognitive rehabilitation to the next generation of museum exhibitions. Finally, the handbook offers a glimpse into the future with this fascinating technology. This groundbreaking set will interest students, scholars and researchers in the fields of military science, technology, computer science, business, law enforcement, cognitive psychology, education and health. Topics addressed include guidance and interventions using VE as a teaching tool, what to look for in terms of human-centered systems and components, and current training uses in the Navy, Army, Air Force and Marines. Game-based and long distance training are explained, as are particular challenges such as the emergence of VE sickness. Chapters also highlight the combination of VE and cybernetics, robotics and artificial intelligence.


Conversational Forms of Instruction and Message Layer Design

Conversational Forms of Instruction and Message Layer Design
Author: Andrew S. Gibbons
Publisher: Springer Nature
Total Pages: 93
Release: 2021-09-30
Genre: Education
ISBN: 3030842207

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This book examines the theoretical basis of one of the functional layers—the message layer—of an architectural theory of instructional design. The architectural theory (Gibbons, 2003; Gibbons & Rogers, 2009; Gibbons, 2014) identifies seven functions carried out during instruction that correspond with designable strata, or layers. The architectural theory proposes that for each layer there exists a specialized body of design languages, constructs, questions, tools, practices, processes, a professional community, and most especially, bodies of design theory. It also proposes that design knowledge from other design fields, many of which approach design from the same functional perspective, can be appropriated for the further development of knowledge within the instructional technology field. A robust literature from disparate fields supplies relevant theory for message layer design. This book builds the case for validation of the message layer by bringing together work from instructional theory, conversation theory, research in the learning sciences, intelligent tutoring system research, and K-12 education. Within this literature, the authors demonstrate the existence of the message as a structural abstraction: an independently designable entity. They trace the development of the message construct historically, showing that it has remained remarkably stable over time, independent of changing psychological, educational, and technological conventions.


Cognitive Systems

Cognitive Systems
Author: Chris Forsythe
Publisher: Psychology Press
Total Pages: 344
Release: 2006-08-15
Genre: Computers
ISBN: 1135605378

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The leading thinkers from the cognitive science tradition participated in a workshop sponsored by Sandia National Laboratories in July of 2003 to discuss progress in building their models. The goal was to summarize the theoretical and empirical bases for cognitive systems and to present exemplary developments in the field. Following the workshop, a great deal of planning went into the creation of this book. Eleven of the twenty-six presenters were asked to contribute chapters, and four chapters are the product of the breakout sessions in which critical topics were discussed among the participants. An introductory chapter provides the context for this compilation. Cognitive Systems thus presents a unique merger of cognitive modeling and intelligent systems, and attempts to overcome many of the problems inherent in current expert systems. It will be of interest to researchers and students in the fields of cognitive science, computational modeling, intelligent systems, artificial intelligence, and human-computer interaction.


Generalization of Knowledge

Generalization of Knowledge
Author: Marie T. Banich
Publisher: Psychology Press
Total Pages: 651
Release: 2011-01-07
Genre: Psychology
ISBN: 1136945458

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While the notion of generalization fits prominently into cognitive theories of learning, there is surprisingly little research literature that takes an overview of the issue from a broad multifaceted perspective. This volume remedies this by taking a multidisciplinary perspective on generalization of knowledge from several fields associated with Cognitive Science, including Cognitive Neuroscience, Computer Science, Education, Linguistics, Developmental Science, and Speech, Language and Hearing Sciences. Researchers from each perspective explain how their field defines generalization - and what practices, representations, processes, and systems in their field support generalization. They also examine when generalization is detrimental or not needed. A principal aim is the identification of general principles about generalization that can be derived from triangulation across different disciplines and approaches. Collectively, the contributors’ multidisciplinary approaches to generalization provide new insights into this concept that will, in turn, inform future research into theory and application, including tutoring, assistive technology, and endeavors involving collaboration and distributed cognition.


Interactive Task Learning

Interactive Task Learning
Author: Kevin A. Gluck
Publisher: MIT Press
Total Pages: 355
Release: 2019-08-16
Genre: Computers
ISBN: 0262349434

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Experts from a range of disciplines explore how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. Humans are not limited to a fixed set of innate or preprogrammed tasks. We learn quickly through language and other forms of natural interaction, and we improve our performance and teach others what we have learned. Understanding the mechanisms that underlie the acquisition of new tasks through natural interaction is an ongoing challenge. Advances in artificial intelligence, cognitive science, and robotics are leading us to future systems with human-like capabilities. A huge gap exists, however, between the highly specialized niche capabilities of current machine learning systems and the generality, flexibility, and in situ robustness of human instruction and learning. Drawing on expertise from multiple disciplines, this Strüngmann Forum Report explores how humans and artificial agents can quickly learn completely new tasks through natural interactions with each other. The contributors consider functional knowledge requirements, the ontology of interactive task learning, and the representation of task knowledge at multiple levels of abstraction. They explore natural forms of interactions among humans as well as the use of interaction to teach robots and software agents new tasks in complex, dynamic environments. They discuss research challenges and opportunities, including ethical considerations, and make proposals to further understanding of interactive task learning and create new capabilities in assistive robotics, healthcare, education, training, and gaming. Contributors Tony Belpaeme, Katrien Beuls, Maya Cakmak, Joyce Y. Chai, Franklin Chang, Ropafadzo Denga, Marc Destefano, Mark d'Inverno, Kenneth D. Forbus, Simon Garrod, Kevin A. Gluck, Wayne D. Gray, James Kirk, Kenneth R. Koedinger, Parisa Kordjamshidi, John E. Laird, Christian Lebiere, Stephen C. Levinson, Elena Lieven, John K. Lindstedt, Aaron Mininger, Tom Mitchell, Shiwali Mohan, Ana Paiva, Katerina Pastra, Peter Pirolli, Roussell Rahman, Charles Rich, Katharina J. Rohlfing, Paul S. Rosenbloom, Nele Russwinkel, Dario D. Salvucci, Matthew-Donald D. Sangster, Matthias Scheutz, Julie A. Shah, Candace L. Sidner, Catherine Sibert, Michael Spranger, Luc Steels, Suzanne Stevenson, Terrence C. Stewart, Arthur Still, Andrea Stocco, Niels Taatgen, Andrea L. Thomaz, J. Gregory Trafton, Han L. J. van der Maas, Paul Van Eecke, Kurt VanLehn, Anna-Lisa Vollmer, Janet Wiles, Robert E. Wray III, Matthew Yee-King