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Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani – Computers & Education, 2008
Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…
Descriptors: Elementary Secondary Education, Intelligent Tutoring Systems, Artificial Intelligence, Tutoring
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Curilem, S. Gloria; Barbosa, Andrea R.; de Azevedo, Fernando M. – Computers & Education, 2007
This article proposes a mathematical model of Intelligent Tutoring Systems (ITS), based on observations of the behaviour of these systems. One of the most important problems of pedagogical software is to establish a common language between the knowledge areas involved in their development, basically pedagogical, computing and domain areas. A…
Descriptors: Student Characteristics, Mathematical Models, Intelligent Tutoring Systems, Computer Software
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Stranieri, Andrew; Yearwood, John – Interactive Learning Environments, 2008
This paper describes a narrative-based interactive learning environment which aims to elucidate reasoning using interactive scenarios that may be used in training novices in decision-making. Its design is based on an approach to generating narrative from knowledge that has been modelled in specific decision/reasoning domains. The approach uses a…
Descriptors: Feedback (Response), Nursing Students, Nursing Education, Knowledge Representation
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Wang, Kun Te; Huang, Yueh-Min; Jeng, Yu-Lin; Wang, Tzone-I – Computers & Education, 2008
Problem-based learning is a goal directed and constructive process for learners. When meeting problems, learners usually force themselves to form work groups in order to find a solution. Currently, blogs are becoming more popular and in fact has formed a community wherein people can share their learning experiences with others. Many pedagogical…
Descriptors: Intelligent Tutoring Systems, Problem Based Learning, Information Retrieval, Teaching Methods
Dori, Yehudit J.; Dori, Dov – 1994
Recent advances in information technology have made feasible the development of intelligent computer assisted instruction study units. Analysis and design of such systems require the active involvement of a development team consisting of domain experts, educators, and knowledge engineers. Science and technology teaching methods are frequently…
Descriptors: Computer Assisted Instruction, Courseware, Foreign Countries, Intelligent Tutoring Systems
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Bouras, Christos; Triantafillou, Vassilis; Tsiatsos, Thrasyvoulos – Educational Technology & Society, 2002
Discusses collaborative virtual learning environments and presents a system architecture to support such environments, defined by user needs and using state-of-the-art technologies. Includes a description of INVITE (Intelligent Distributed Virtual Training Environment), a project funded by the European Commission. (Author/LRW)
Descriptors: Foreign Countries, Information Technology, Intelligent Tutoring Systems, Online Courses
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Khan, Masood Mehmood – Electronic Library, 2002
Describes the implementation of an intelligent tutoring system that employs a game environment and object-oriented user interface for teaching and learning, based on a computer game developed for industrial training. Discusses adventure games, game environments in education, simulation support, and user interface design. (Author/LRW)
Descriptors: Computer Games, Computer Interfaces, Computer Simulation, Educational Games
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Patel, Ashok; Kinshuk; Russell, David – Information Services & Use, 1998
Describes an intelligent assessment system for numeric disciplines that works in conjunction with the intelligent tutoring tools developed by Teaching and Learning Technology (TLTP) Byzantium, a consortium of six U.K. universities. Topics include intelligent tutoring tools based on cognitive apprenticeship framework, a history of computerized…
Descriptors: Evaluation Methods, Foreign Countries, Futures (of Society), Higher Education
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Orey, Michael; Zhao, Ruimin; Fan, Huey-Ling; Keenan, Ron – Computers in Human Behavior, 1998
Describes the results of an effectiveness evaluation of an "intelligently coached simulation," the SINCGARS Tutor, that was developed to train military officers how to operate a SINCGARS radio. Posttests showed officers trained on the computerized tutor performed more accurately than a group trained on the actual equipment. (Author/LRW)
Descriptors: Computer Simulation, Intelligent Tutoring Systems, Military Training, Pretests Posttests
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Sheremetov, Leonid; Nunez, Gustavo – Journal of Interactive Learning Research, 1999
Discussion of computer-supported collaborative learning, distributed artificial intelligence, and intelligent tutoring systems focuses on the concept of agents, and describes a virtual learning environment that has a multi-agent system. Describes a model of interactions in collaborative learning and discusses agents for Web-based virtual…
Descriptors: Artificial Intelligence, Educational Environment, Intelligent Tutoring Systems, Interaction
Gardner, Howard – TECHNOS, 2000
Explains the relationship between computers and multiple intelligences and explores its potential. Topics include behaviorism and cognitivism; constructivism; multiple representations in the human mind, including various forms of intelligence; individual differences; the challenge of altering early representations; and machine versus human tutors.…
Descriptors: Behaviorism, Cognitive Processes, Constructivism (Learning), Individual Differences
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Gilbert, Juan E.; Han, C. Y. – Journal of Computing in Higher Education, 2002
Examined whether there was a significant difference in learner outcomes from the use of Arthur (Gilbert & Han, 1999), a computer-based adaptive instructional system that provides personalized instruction to each learner. Found that Arthur does provide a significant difference in learner outcomes. (EV)
Descriptors: Courseware, Higher Education, Individualized Instruction, Instructional Effectiveness
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Vasilakos, Thanos; Devedzic, Vladan; Kinshuk; Pedrycz, Witold – Journal of Interactive Learning Research, 2004
This article discusses some important aspects of Web Intelligence (WI) in the context of educational applications. Some of the key components of WI have already attracted developers of web-based educational systems for quite some time- ontologies, adaptivity and personalization, and agents. The paper focuses on the application of Computational…
Descriptors: Intelligent Tutoring Systems, Internet, Web Based Instruction, Educational Technology
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Mowlds, Frances; Roche, Bernard-Joseph; Mangina, Eleni – Campus-Wide Information Systems, 2005
Purpose: One of the greatest challenges facing any intelligent tutoring system is being able to adapt its behaviour based on the student's current knowledge level, ability, needs and wishes within a course. This paper aims to present a framework of BDI agents within an agent-based intelligent tutoring system (ABITS). Design/methodology/approach: A…
Descriptors: Knowledge Level, Intelligent Tutoring Systems, Tutoring, Cognitive Structures
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Liao, Ching-Jung; Chou, Chien-Chih; Yang, Jin-Tan David – International Journal of Distance Education Technologies, 2009
The purpose of this study is to incorporate adaptive ontology into ubiquitous learning grid to achieve seamless learning environment. Ubiquitous learning grid uses ubiquitous computing environment to infer and determine the most adaptive learning contents and procedures in anytime, any place and with any device. To achieve the goal, an…
Descriptors: Individualized Instruction, Simulation, Educational Environment, College Freshmen
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