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Godwin-Jones, Robert – Language Learning & Technology, 2007
Ever since the PLATO system of the 1960's, CALL (computer assisted language learning) has had a major focus on providing self-paced, auto-correcting exercises for language learners to practice their skills and improve their knowledge of discrete areas of language learning. The computer has been recognized from the beginning as a patient and…
Descriptors: Individualized Instruction, Pacing, Computer Assisted Instruction, Intelligent Tutoring Systems
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Sessink, Olivier D. T.; Beeftink, Hendrik H.; Tramper, Johannes; Hartog, Rob J. M. – Journal of Interactive Learning Research, 2007
Effectively targeting a heterogeneous student population is a common challenge in academic courses. Most traditional learning material targets the "average student," and is suboptimal for students who lack certain prior knowledge, or students who have already attained some of the course objectives. Student-activating learning material supports…
Descriptors: Prior Learning, Course Objectives, Intelligent Tutoring Systems, Tutorial Programs
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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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Vos, H. J. – Computers in Human Behavior, 1999
Formulates decision rules for adapting the appropriate amount of instruction to learning needs in intelligent-tutoring systems. Highlights include minimax decision theory (a minimum information approach), a binomial model, and a comparison of the Bayesian decision component in the Minnesota Adaptive Instructional System and the minimax strategy.…
Descriptors: Comparative Analysis, Decision Making, Instructional Design, Intelligent Tutoring Systems
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Johnson, Robin; Sime, Julie-Ann – Instructional Science, 1998
Examines GTE (Generic Tutoring Environment) from an authoring perspective, describes how GTE may be used to create courseware, and reviews potential difficulties that authors face when using such a tool. Summarizes two studies that investigated how authors used GTE and concludes that GTE designs are difficult for authors to test and evaluate.…
Descriptors: Authoring Aids (Programming), Computer Software Development, Courseware, Evaluation Methods
Patel, Ashok; Kinshuk; Russell, David – Educational Technology, 1999
Discusses competence and learning in the numeric domain and describes the implementation of the cognitive apprenticeship concepts through the use of granular interface, dynamic feedback, and facilities for far transfer of knowledge, as well as their contribution in arriving at a recommended implementation framework. Considers intelligent tutoring…
Descriptors: Competence, Feedback, Intelligent Tutoring Systems, Learning Processes
Siemer-Matravers, Julika – Educational Technology, 1999
Reviews intelligent tutoring systems and introduces social theory as an alternative to individual learning theory that has served as a basis for intelligent tutoring system development. Discusses social processes and learning, collaborative learning and intelligent tutoring systems, and the need for a revised architecture for intelligent tutoring…
Descriptors: Computer Software Development, Individualized Instruction, Intelligent Tutoring Systems, Learning Theories
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Wright, Frances C.; Ryan, David P.; Dodge, Jason E.; Last, Linda D.; Law, Calvin H. L.; Smith, Andrew J. – Journal of Continuing Education in the Health Professions, 2004
Introduction: Educationally influential physicians (EIPs) are identified by their colleagues as people who (1) encourage learning and enjoy sharing their knowledge, (2) are clinical experts and always seem up to date, and (3) treat others as equals. We aimed to identify surgical and pathologist EIPs for colorectal cancer (CRC) in Ontario as part…
Descriptors: Foreign Countries, Transfer Programs, Surgery, Physicians
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Melis, Erica; Goguadze, Giorgi; Homik, Martin; Libbrecht, Paul; Ullrich, Carsten; Winterstein, Stefan – British Journal of Educational Technology, 2006
ActiveMath is a complex web-based adaptive learning environment with a number of components and interactive learning tools. The basis for handling semantics of learning content is provided by its semantic (mathematics) content markup, which is additionally annotated with educational metadata. Several components, tools and external services can…
Descriptors: Web Based Instruction, Intelligent Tutoring Systems, Mathematics Education, Semantics
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Karampiperis, Pythagoras; Sampson, Demetrios – Journal of Interactive Learning Research, 2004
Adaptive learning object selection and sequencing is recognized as among the most interesting research questions in intelligent web-based education. In most intelligent learning systems that incorporate course sequencing techniques, learning object selection is based on a set of teaching rules according to the cognitive style or learning…
Descriptors: Cognitive Style, Instructional Design, Educational Technology, Intelligent Tutoring Systems
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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
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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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Hayashi, Yusuke; Bourdeau, Jacqueline; Mizoguchi, Riichiro – International Journal of Artificial Intelligence in Education, 2009
This paper describes the achievements of an innovative eight-year research program first introduced in Mizoguchi and Bourdeau (2000), which was aimed at building a theory-aware authoring system by using ontological engineering. To date, we have proposed OMNIBUS, an ontology that comprehensively covers different learning/instructional theories and…
Descriptors: Foreign Countries, Theory Practice Relationship, Engineering, Teaching Methods
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