Agent Based Tutoring Systems By Cognitive And Affective Modeling
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Agent-Based Tutoring Systems by Cognitive and Affective Modeling by Viccari, Rosa Maria,Jaques, Patricia Augustin,Verdin, Regina Pdf
"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.
Dr. Robert A. Sottilare, US Army Research Laboratory,Dr. Arthur Graesser, University of Memphis,Dr. Xiangen Hu, University of Memphis,Dr. Heather Holden, US Army Research Laboratory
Author : Dr. Robert A. Sottilare, US Army Research Laboratory,Dr. Arthur Graesser, University of Memphis,Dr. Xiangen Hu, University of Memphis,Dr. Heather Holden, US Army Research Laboratory Publisher : U.S. Army Research Laboratory Page : 303 pages File Size : 40,9 Mb Release : 2013-08-01 Category : Computers ISBN : 9780989392303
Design Recommendations for Intelligent Tutoring Systems by Dr. Robert A. Sottilare, US Army Research Laboratory,Dr. Arthur Graesser, University of Memphis,Dr. Xiangen Hu, University of Memphis,Dr. Heather Holden, US Army Research Laboratory Pdf
Design Recommendations for Intelligent Tutoring Systems explores the impact of computer-based tutoring system design on education and training. Specifically, this volume, “Learner Modeling” examines the fundamentals of learner modeling and identifies best practices, emerging concepts and future needs to promote efficient and effective tutoring. Part of our design recommendations include current, projected, and needed capabilities within the Generalized Intelligent Framework for Tutoring (GIFT), an open source, modular, service-oriented architecture developed to promote simplified authoring, reuse, standardization, automated instruction and evaluation of tutoring technologies.
Brain Inspired Cognitive Systems 2008 by Amir Hussain,Igor Aleksander,Leslie S. Smith,Allan Kardec Barros,Ron Chrisley,Vassilis Cutsuridis Pdf
Brain Inspired Cognitive Systems 2008 (June 24-27, 2008; São Luís, Brazil) brought together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence. This book includes the papers presented at four major symposia: Part I - Cognitive Neuroscience Part II - Biologically Inspired Systems Part III - Neural Computation Part IV - Models of Consciousness.
Handbook of Research on Synthetic Emotions and Sociable Robotics: New Applications in Affective Computing and Artificial Intelligence by Vallverd£, Jordi,Casacuberta, David Pdf
"This book focuses on the integration of emotions into artificial environments such as computers and robotics"--Provided by publisher.
Advances in Personalized Web-Based Education by Konstantina Chrysafiadi,Maria Virvou Pdf
This book aims to provide important information about adaptivity in computer-based and/or web-based educational systems. In order to make the student modeling process clear, a literature review concerning student modeling techniques and approaches during the past decade is presented in a special chapter. A novel student modeling approach including fuzzy logic techniques is presented. Fuzzy logic is used to automatically model the learning or forgetting process of a student. The presented novel student model is responsible for tracking cognitive state transitions of learners with respect to their progress or non-progress. It maximizes the effectiveness of learning and contributes, significantly, to the adaptation of the learning process to the learning pace of each individual learner. Therefore the book provides important information to researchers, educators and software developers of computer-based educational software ranging from e-learning and mobile learning systems to educational games including stand alone educational applications and intelligent tutoring systems.
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists by Alexei V. Samsonovich,Valentin V. Klimov,Galina V. Rybina Pdf
This book presents cutting-edge research focused on current challenges towards the realization of Biologically Inspired intelligent agents, or Cognitive Architectures (BICA). The chapters are written by both world-recognized experts (including Antonio Chella, Olivier Georgeon, Oliver Kutz, Antonio Lieto, David Vernon, Paul Verschure, and others) and young researchers. Together, they constitute a good mixture of new findings with tutorial-based reviews and position papers, all presented at the First International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures (FIERCES on BICA 2016), held April 21-24 in Moscow, Russia. Most works included here cross boundaries between disciplines: from neuroscience to social science, from cognitive science to robotics, and from bioengineering to artificial intelligence. A special emphasis is given to novel solutions to urgent problems that have been resisting traditional approaches for decades. Intended for providing readers with an update on biologically inspired approaches towards the computational replication of all the essential aspects of the human mind (the BICA Challenge), this book is expected to foster lively discussions on the topic and stimulate cross-disciplinary, cross-generation and cross-cultural collaboration.
Transactions on Edutainment IV by Xiaopeng Zhang Pdf
E-learning and digital entertainment techniques, tools and systems are becoming popular and can be found in many real-world educational applications in many co- tries. The driving force behind these technologies is the rapidly growing requirements of edutainment, especially from the perspective of the users. This has led to the increasing interest of researchers in this area. The articles in this issue give a rich overview of how edutainment technologies can be creatively used for training and education purposes. The first 12 articles of this issue represent a selection of outstanding contributions from Edutainment 2010, the 5th International Conference on E-learning and Games, held in Changchun, China, in August 2010. The main purpose of this event is to faci- tate the discussion, presentation, and information exchange on the scientific and te- nological developments in the emerging field of digital entertainment techniques and systems for education. These 12 papers concentrated on three aspects: e-learning s- tem and applications, game techniques for learning, and virtual reality techniques for entertainment. They are closely related to the topics of this journal.
Social Computing in Digital Education by Fernando Koch,Andrew Koster,Tiago Primo Pdf
This book constitutes the refereed proceedings of the First International Workshop, SOCIALEDU 2015, held in Stanford, CA, USA, in August 2015. The workshop aimed to discuss computational models of social computing applied to Digital Education. The 9 revised full papers presented were carefully reviewed and selected from 12 submissions. The papers address issues such as novel data mining and machine learning for social intelligence in digital education.- Social modelling and simulation to investigate social behaviours, emotional intelligence, influence processes and other social aspects that may influence learning performance in an educational environment.- Smart environments and interactive systems of social computing in digital education.- Analysis of social media and media intelligence in digital education.- Mobile social gaming in digital education.- The utilization of mobile and wearable technology in social systems in digital education, and others.
Intelligent Tutoring Systems by Beverly Woolf,Esma Aimeur,Roger Nkambou,Susanne Lajoie Pdf
This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Tutoring Systems, ITS 2008, held in Montreal, Canada, in June 2008. The 63 revised full papers and 61 poster papers presented together with abstracts of 5 keynote talks were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on emotion and affect, tutor evaluation, student modeling, machine learning, authoring tools , tutor feedback and intervention, data mining, e-learning and Web-based ITS, natural language techniques and dialogue, narrative tutors and games, semantic Web and ontology, cognitive models, and collaboration.
Creating Synthetic Emotions through Technological and Robotic Advancements by Vallverdú, Jordi Pdf
As humans interact more often and more intimately with computers, and as computational systems become an ever more important element of our society, playing roles in education, the production of culture and goods, and management, it is inevitable that we should seek to interact with these systems in ways that take advantage of our powerful emotional capabilities. Creating Synthetic Emotions through Technological and Robotic Advancements compiles progressive research in the emerging and groundbreaking fields of artificial emotions, affective computing, and sociable robotics that allow humans to begin the once impossible-seeming task of interacting with robots, systems, devices, and agents. This landmark volume brings together expert international researchers to expound upon these topics as synthetic emotions move toward becoming a daily reality.
Collaborative Decision Making: Perspectives and Challenges by P. Zaraté,J.P. Belaud,G. Camilleri Pdf
This publication presents the latest innovations and achievements of academic communities on Decision Support Systems (DSS). These advances include theory systems, computer-aided methods, algorithms, techniques and applications related to supporting decision making. The aim is to develop approaches for applying information systems technology to increase the effectiveness of decision making in situations where the computer system can support and enhance human judgements in the performance of tasks that have elements which cannot be specified in advance. Also it is intended to improve ways of synthesizing and applying relevant work from resource disciplines to practical implementation of systems that enhance decision support capability. The resource disciplines include: information technology, artificial intelligence, cognitive psychology, decision theory, organizational theory, operations research and modeling. Researchers come from the Operational Research area but also from Decision Theory, Multicriteria Decision Making methodologies, Fuzzy sets and modeling tools. Based on the introduction of Information and Communication Technologies in organizations, the decisional process is evolving from a mono actor to a multi actor situation in which cooperation is a way to make the decision.
Biologically Inspired Cognitive Architectures 2019 by Alexei V. Samsonovich Pdf
The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
Affective Feedback in Intelligent Tutoring Systems by Samantha Jiménez,Reyes Juárez-Ramírez,Victor H. Castillo,Juan José Tapia Armenta Pdf
Affective components are as important as cognitive components in tutoring assisted learning process. Feedback from tutors is essential in keeping students motivated. Affectivity and motivation are also significant in computer-based tutoring systems. However, several educational frameworks do not include this kind of interaction between students and tutoring systems. In those cases, the students learning interest and motivation to learn could be negatively affected, and student profits from the system could be impoverished. This is why tutoring systems need to provide direct and affective interaction with students; it can encourage them and increase the motivation to learn. This book introduces a broad range of topics in affective learning in computer-based systems. The text offers a deep conceptual background, covering relevant concepts of affectivity, feedback and motivational components in learning environments. It describes the design of a proposed model for providing affective feedback, the mathematical validation of the conceptual model and its implementation. Moreover, it presents an analysis of the impact of the affective feedback on student motivation to learn. Finally, the book offers research perspectives of the impact and applicability of the affective feedback in computer-based tutoring environments. Affective Feedback in Intelligent Tutoring Systems can be used by human tutors who want to include motivational and affective elements in the learning process, researchers in Human-Computer Interaction and Education and by software developers who want to develop learning systems using these elements.
The Oxford Handbook of Affective Computing by Rafael A. Calvo,Sidney D'Mello,Jonathan Matthew Gratch,Arvid Kappas Pdf
"The Oxford Handbook of Affective Computing is a definitive reference in the burgeoning field of affective computing (AC), a multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and other disciplines. AC research explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems involving affect at their core. The volume features 41 chapters and is divided into five sections: history and theory, detection, generation, methodologies, and applications. Section 1 begins with the making of AC and a historical review of the science of emotion. The following chapters discuss the theoretical underpinnings of AC from an interdisciplinary viewpoint. Section 2 examines affect detection or recognition, a commonly investigated area. Section 3 focuses on aspects of affect generation, including the synthesis of emotion and its expression via facial features, speech, postures, and gestures. Cultural issues are also discussed. Section 4 focuses on methodological issues in AC research, including data collection techniques, multimodal affect databases, formats for the representation of emotion, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues. Finally, Section 5 highlights applications of AC in such domains as formal and informal learning, games, robotics, virtual reality, autism research, health care, cyberpsychology, music, deception, reflective writing, and cyberpsychology. This compendium will prove suitable for use as a textbook and serve as a valuable resource for everyone with an interest in AC."--
Dr. Robert A. Sottilare, US Army Research Laboratory,Dr. Arthur Graesser, University of Memphis,Dr. Xiangen Hu, University of Memphis,Dr. Benjamin Goldberg, US Army Research Laboratory
Author : Dr. Robert A. Sottilare, US Army Research Laboratory,Dr. Arthur Graesser, University of Memphis,Dr. Xiangen Hu, University of Memphis,Dr. Benjamin Goldberg, US Army Research Laboratory Publisher : U.S. Army Research Laboratory Page : 426 pages File Size : 51,6 Mb Release : 2014-07-01 Category : Electronic ISBN : 9780989392327
Design Recommendations for Intelligent Tutoring Systems by Dr. Robert A. Sottilare, US Army Research Laboratory,Dr. Arthur Graesser, University of Memphis,Dr. Xiangen Hu, University of Memphis,Dr. Benjamin Goldberg, US Army Research Laboratory Pdf
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.