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Model-based Reasoning about Learner Behaviour
Simulators are becoming standard equipment for interactive learning environments. They allow for attractive teaching with a large degree of freedom for the learner. However, without proper guidance, the learner easily gets lost in a simulation environment. Providing guidance requires an image of what the learner is doing. Acquiring this image by diagnosing the behaviour of the learner is a complex and resource-intensive task for which yet no general approach exists. In this book, we apply existing ideas and techniques from the field of model-based reasoning and diagnosis to interactive learning environments. We present a framework for subject matter modelling and diagnosis of learner behaviour. The framework defines generic techniques for automatically generating subject matter models from qualitative simulations. A generic model-based engine employs these models for diagnosing the learner's behaviour. The framework provides a powerful and reusable approach to individualising guidance in educational systems.
Sustaining TEL: From Innovation to Learning and Practice
This book constitutes the refereed proceedings of the 5th European Conference on Technology Enhanced Learning, EC-TEL 2010, held in Barcelona, Spain, in September/October 2010. The 24 revised full papers presented were carefully reviewed and selected from 150 submissions. The book also includes 10 short papers, 26 poster papers, 7 demonstration papers and one 1 invited paper.
Handbook of Knowledge Representation
Handbook of Knowledge Representation describes the essential foundations of Knowledge Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field. It includes a tutorial background and cutting-edge developments, as well as applications of Knowledge Representation in a variety of AI systems. This handbook is organized into three parts. Part I deals with general methods in Knowledge Representation and reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming; conce...
KADS
KADS is a structured methodology for the development of knowledge based systems which has been adopted throughout the world by academic and industrial professionals alike. KADS approaches development as a modeling activity. Two key characteristics of KADS are the use of multiple models to cope with the complexity of knowledge engineering and the use of knowledge-level descriptions as an immediate model between system design and expertise data. The result is that KADS enables effective KBS construction by building a computational model of desired behavior for a particular problem domain. KADS contains three section: the Theoretical Basis of KADS, Languages and Tools, and Applications. Togethe...
Intelligent Tutoring Systems
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.
Artificial Intelligence in Education
The field of Artificial Intelligence in Education includes research and researchers from many areas of technology and social science. This study aims to open opportunities for the cross-fertilization of information and ideas from researchers in the many fields that make up this interdisciplinary research area.
Using Games and Simulations for Teaching and Assessment
Incorporates several innovative and increasingly popular subject areas, including the gamification of education, assessment, and STEM subjects Combines research and authorship from both civilian and military worlds as well as interdisciplinary fields Rigorously defines and analyzes the criteria of selecting, designing, implementing, and evaluating emerging educational technologies while offering implications for future use
Towards Energy Smart Homes
This book exemplifies how smart buildings have a crucial role to play for the future of energy. The book investigates what already exists in regards to technologies, approaches and solutions both with a scientific and technological point of view. The authors cover solutions for mirroring and tracing human activities, optimal strategies to configure home settings, and generating explanations and persuasive dashboards to get occupants better committed in their home energy managements. Solutions are adapted from the fields of Internet of Things, physical modeling, optimization, machine learning and applied artificial intelligence. Practical applications are given throughout.
