Building Dialogue Systems for Tutorial Applications PDF Download

Author: Reva Freedman
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 168

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Author: Stefano A. Cerri
Publisher: Springer
ISBN: 3540479872
Category : Computers
Languages : en
Pages : 1045

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Book Description
This book constitutes the refereed proceedings of the 6th International Conference on Intelligent Tutoring Systems, ITS 2002, held in Biarritz, France, and San Sebastian, Spain, in June 2002 The 93 revised full papers presented together with 5 invited papers and 16 posters were carefully reviewed and selected from 167 full paper submissions. The papers address all current issues in the interdisciplinary field of intelligent tutoring systems. The book offers topical sections on agents, architectures, Web, authoring, learning, dialogue, evaluation, narrative, and motivation and emotions.

Author: Luppicini, Rocci
Publisher: IGI Global
ISBN: 1599045990
Category : Education
Languages : en
Pages : 508

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Book Description
Given the rapid growth of computer-mediated communication, there is an ever-broadening range of social interactions. With conversation as the bedrock on which social interactions are built, there is growing recognition of the important role conversation has in instruction, particularly in the design and development of technologically advanced educational environments. The Handbook of Conversation Design for Instructional Applications presents key perspectives on the evolving area of conversation design, bringing together a multidisciplinary body of work focused on the study of conversation and conversation design practices to inform instructional applications. Offering multimodal instructional designers and developers authoritative content on the cutting-edge issues and challenges in conversation design, this book is a must-have for reference library collections worldwide.

Author: Zhiyuan Sun
Publisher: Springer Nature
ISBN: 3031015819
Category : Computers
Languages : en
Pages : 187

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Book Description
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past helps us learn new things with little data or effort. Lifelong learning aims to emulate this capability, because without it, an AI system cannot be considered truly intelligent. Research in lifelong learning has developed significantly in the relatively short time since the first edition of this book was published. The purpose of this second edition is to expand the definition of lifelong learning, update the content of several chapters, and add a new chapter about continual learning in deep neural networks—which has been actively researched over the past two or three years. A few chapters have also been reorganized to make each of them more coherent for the reader. Moreover, the authors want to propose a unified framework for the research area. Currently, there are several research topics in machine learning that are closely related to lifelong learning—most notably, multi-task learning, transfer learning, and meta-learning—because they also employ the idea of knowledge sharing and transfer. This book brings all these topics under one roof and discusses their similarities and differences. Its goal is to introduce this emerging machine learning paradigm and present a comprehensive survey and review of the important research results and latest ideas in the area. This book is thus suitable for students, researchers, and practitioners who are interested in machine learning, data mining, natural language processing, or pattern recognition. Lecturers can readily use the book for courses in any of these related fields.

Author: Dr. Robert A. Sottilare, US Army Research Laboratory
Publisher: U.S. Army Research Laboratory
ISBN: 0989392325
Category :
Languages : en
Pages : 426

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Book Description
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.

Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1609605047
Category : Education
Languages : en
Pages : 1985

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Book Description
Successful educational programs are often the result of pragmatic design and development methodologies that take into account all aspects of the educational and instructional experience. Instructional Design: Concepts, Methodologies, Tools and Applications presents a complete overview of historical perspectives, new methods and applications, and models in instructional design research and development. This three-volume work covers all fundamental strategies and theories and encourages continued research in strengthening the consistent design and reliable results of educational programs and models.

Author: Jan van Kuppevelt
Publisher: Springer Science & Business Media
ISBN: 1402039336
Category : Language Arts & Disciplines
Languages : en
Pages : 376

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Book Description
The main topic of this volume is natural multimodal interaction. The book is unique in that it brings together a great many contributions regarding aspects of natural and multimodal interaction written by many of the important actors in the field. Topics addressed include talking heads, conversational agents, tutoring systems, multimodal communication, machine learning, architectures for multimodal dialogue systems, systems evaluation, and data annotation.

Author: Stankov, Slavomir
Publisher: IGI Global
ISBN: 1616920092
Category : Computers
Languages : en
Pages : 445

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Book Description
"This book addresses intelligent tutoring system (ITS) environments from the standpoint of information and communication technology (ICT) and the recent accomplishments within both the e-learning paradigm and e-learning systems"--Provided by publisher.

Author: Farid Meziane
Publisher: Springer Science & Business Media
ISBN: 3540225641
Category : Computers
Languages : en
Pages : 447

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Book Description
This book constitutes the refereed proceedings of the 9th International Conference on Applications of Natural Language to Information Systems, NLDB 2004, held in Salford, UK in June 2004. The 29 revised full papers and 13 revised short papers presented were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on natural language, conversational systems, intelligent querying, linguistic aspects of modeling, information retrieval, natural language text understanding, knowledge bases, knowledge management and content management.

Author:
Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 10439

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Book Description