Cognitive Tutor
Cognitive Tutor

Author: Ninni Singh

Publisher: Springer Nature

Published: 2022-09-17

Total Pages: 188

ISBN-13: 9811951977

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This book illustrates the design, development, and evaluation of personalized intelligent tutoring systems that emulate human cognitive intelligence by incorporating artificial intelligence. Artificial intelligence is an advanced field of research. It is particularly used in the field of education to increase the effectiveness of teaching and learning techniques. With the advancement of internet technology, there is a rapid growth in web based distance learning modality. This mode of learning is better known as the e-learning system. These systems present low intelligence because they offer a pre-identified learning frame to their learners. The advantage of these systems is to offer to learn anytime and anyplace without putting emphasis on a learner's needs, competency level, and previous knowledge. Every learner has different grasping levels, previous knowledge, and preferred mode of learning, and hence, the learning process of one individual may significantly vary from other individuals. This book provides a complete reference for students, researchers, and industry practitioners interested in keeping abreast of recent advancements in this field. It encompasses cognitive intelligence and artificial intelligence which are very important for deriving a roadmap for future research on intelligent systems.

Artificial Intelligence and Tutoring Systems
Artificial Intelligence and Tutoring Systems

Author: Etienne Wenger

Publisher: Morgan Kaufmann

Published: 2014-05-12

Total Pages: 513

ISBN-13: 1483221113

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Artificial Intelligence and Tutoring Systems: Computational and Cognitive Approaches to the Communication of Knowledge focuses on the cognitive approaches, methodologies, principles, and concepts involved in the communication of knowledge. The publication first elaborates on knowledge communication systems, basic issues, and tutorial dialogues. Concerns cover natural reasoning and tutorial dialogues, shift from local strategies to multiple mental models, domain knowledge, pedagogical knowledge, implicit versus explicit encoding of knowledge, knowledge communication, and practical and theoretical implications. The text then examines interactive simulations, existing CAI traditions, and learning environments. The manuscript elaborates on knowledge communication, didactics, and diagnosis. Topics include knowledge presentation and communication, pedagogical contexts, target levels of didactic operations, behavioral and epistemic diagnosis, and aspects of diagnostic experience. The publication is a dependable reference for researchers interested in the computational and cognitive approaches to the communication of knowledge.

How Tutoring Works
How Tutoring Works

Author: Nancy Frey

Publisher: Corwin Press

Published: 2021-05-26

Total Pages: 137

ISBN-13: 1071856073

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Build students’ confidence and competence with tutoring strategies that spark meaningful, accelerated learning. Tutoring is much more than telling students information. Effective tutoring begins with the strong and caring relationship a tutor establishes with a learner to build trust, fuel motivation, and drive critical learning. How Tutoring Works distills the complexity of strategic moves effective tutors make to build students’ confidence and competence. Harnessing decades of Visible Learning® research, this easy to read, eye-opening guide details the six essential components of any effective tutoring intervention—establishing a relationship and credibility, addressing student confidence and challenges, setting shared goals, helping a student learn how to learn, teaching and learning content, and establishing a habit of deliberate practice. Indispensable for any educator who intervenes with students, this rich resource includes: Examples of impactful tutoring conversations, including what to say and what not to say when building a relationship with a learner. Specific approaches to use when establishing credibility, addressing challenges to learning, leveraging the relevance of knowledge, setting goals, and ensuring practice. Learning strategies, with effect size, for teaching and learning content, including specific strategies for improving reading, writing, and mathematics. Tips and tools for helping students develop powerful cognitive, metacognitive, and affective study skills. Resources and advice for establishing an effective and transformational tutoring program. Done well, tutoring can repair a student’s damaged relationship to learning, address unrealized potential, and alter the course of a young person’s life. A strong and nurturing relationship between tutor and learner is key.

Agent-Based Tutoring Systems by Cognitive and Affective Modeling
Agent-Based Tutoring Systems by Cognitive and Affective Modeling

Author: Viccari, Rosa Maria

Publisher: IGI Global

Published: 2008-05-31

Total Pages: 392

ISBN-13: 1599047705

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"This book presents a modern view of intelligent tutoring, focusing mainly on the conception of these systems according to a multi-agent approach and on the affective and cognitive modeling of the student in this kind of educational environment"--Provided by publisher.

Building Intelligent Interactive Tutors
Building Intelligent Interactive Tutors

Author: Beverly Park Woolf

Publisher: Morgan Kaufmann

Published: 2010-07-28

Total Pages: 480

ISBN-13: 0080920047

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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

Intelligent Tutoring Systems
Intelligent Tutoring Systems

Author: Mitsuru Ikeda

Publisher: Springer Science & Business Media

Published: 2006-06-09

Total Pages: 844

ISBN-13: 3540351590

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This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Tutoring Systems, ITS 2006, held in Jhongli, Taiwan, June 2006. The book presents 67 revised full papers and 40 poster papers, together with abstracts of 6 keynote talks, organized in topical sections on assessment, authoring tools, bayesian reasoning and decision-theoretic approaches, case-based and analogical reasoning, cognitive models, collaborative learning, e-learning and web-based intelligent tutoring systems, and more.

Advances in Intelligent Tutoring Systems
Advances in Intelligent Tutoring Systems

Author: Roger Nkambou

Publisher: Springer Science & Business Media

Published: 2010-08-27

Total Pages: 509

ISBN-13: 3642143628

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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.

Author:

Publisher: IOS Press

Published:

Total Pages: 10439

ISBN-13:

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Technology and Assessment
Technology and Assessment

Author: National Research Council

Publisher: National Academies Press

Published: 2002-04-26

Total Pages: 208

ISBN-13: 0309083206

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The papers in this collection were commissioned by the Board on Testing and Assessment (BOTA) of the National Research Council (NRC) for a workshop held on November 14, 2001, with support from the William and Flora Hewlett Foundation. Goals for the workshop were twofold. One was to share the major messages of the recently released NRC committee report, Knowing What Students Know: The Science and Design of Educational Assessment (2001), which synthesizes advances in the cognitive sciences and methods of measurement, and considers their implications for improving educational assessment. The second goal was to delve more deeply into one of the major themes of that report-the role that technology could play in bringing those advances together, which is the focus of these papers. For the workshop, selected researchers working in the intersection of technology and assessment were asked to write about some of the challenges and opportunities for more fully capitalizing on the power of information technologies to improve assessment, to illustrate those issues with examples from their own research, and to identify priorities for research and development in this area.

User Modeling 2001
User Modeling 2001

Author: Mathias Bauer

Publisher: Springer

Published: 2003-05-15

Total Pages: 323

ISBN-13: 3540445668

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This book constitutes the refereed proceedings of the 8th International Conference on User Modeling, UM 2001, held in Sonthofen, Germany in July 2001.The 19 revised full papers and 20 poster summaries presented together with summaries of 12 selected student presentations were carefully reviewed and selected from 79 submissions. The book offers topical sections on acquiring user models from multi-modal user input; learning interaction models; user models for natural language interpretation, processing, and generation; adaptive interviewing for acquiring user preferences and product customization; supporting user collaboration through adaptive agents; student modeling; and adaptive information filtering, retrieval, and browsing.