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Peer reviewedGreenberg, Jan D.; Dickelman, Gary J. – Performance Improvement, 2000
Discusses distributed cognition theory, a viable framework and methodology for examining interactions between individuals and artifacts, and how it relates to performance support. Highlights include knowledge representation; applications in learning and performance support; learning communities; collaborative learning; and computer technology and…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Interaction, Knowledge Representation
Peer reviewedCheng, Peter C.-H. – Computers & Education, 1999
Summarizes theoretical and empirical aspects of research that is investigating how best to support conceptual learning and the critical role that representations have in complex scientific and mathematical domains. Explains Law Encoding Diagrams (LEDs) and considers how computers may further enhance the potential benefit of LEDs for conceptual…
Descriptors: Computer Assisted Instruction, Concept Formation, Knowledge Representation, Learning Processes
Peer reviewedEvers, Colin W. – Australian Journal of Education, 2000
Provides a detailed, technical introduction to the state of cognitive science research, in particular the rise of the "new cognitive science," especially artificial neural net (ANN) models. Explains one influential ANN model and describes diverse applications and their implications for education. (EV)
Descriptors: Artificial Intelligence, Cognitive Psychology, Epistemology, Knowledge Representation
Najjar, Mehdi – International Journal of Distance Education Technologies, 2008
Despite a growing development of virtual laboratories which use the advantages of multimedia and Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically tailored to each student needs. The virtual teaching process would be well adapted if an artificial tutor can identify the…
Descriptors: Scaffolding (Teaching Technique), Virtual Classrooms, Prompting, Teaching Methods
Peer reviewedBereiter, Carl – Australian Journal of Education, 2000
Discusses two models of the mind: the influential model of "mind as container," in which the mind is akin to a computer storing data; and a connectionist model, in which the brain does not actually store or contain knowledge in the sense traditionally believed. Discusses the second model's implications for education. (EV)
Descriptors: Artificial Intelligence, Brain, Cognitive Psychology, Epistemology
Tergan, Sigmar-Olaf; Graber, Wolfgang; Neumann, Anja – Innovations in Education and Teaching International, 2006
In resource-based learning scenarios, students are often overwhelmed by the complexity of task-relevant knowledge and information. Techniques for the external interactive representation of individual knowledge in graphical format may help them to cope with complex problem situations. Advanced computer-based concept-mapping tools have the potential…
Descriptors: Computer Assisted Instruction, Spatial Ability, Learning Strategies, Evaluation Methods
Bouzeghoub, Amel; Defude, Bruno; Duitama, John Freddy; Lecocq, Claire – International Journal on E-Learning, 2006
Our claim is that semantic metadata are required to allow a real reusing and assembling of learning objects. Our system is based on three models used to describe the domain, learners, and learning objects. The learning object model is inspired from knowledge representation proposals. A learning object can be reused directly or can be combined with…
Descriptors: Semantics, Knowledge Representation, Metadata, Learning Processes
Peer reviewedChang, Kuo-Eng; Sung, Y-T; Lee, C-L. – Journal of Computer Assisted Learning, 2003
Proposes a Web-based collaborative inquiry learning system and describes a study of undergraduates at the National Taiwan Normal University based on a model system that investigated students' learning processes. Discusses the use of concept maps to anchor and represent knowledge during the inquiry process. (Author/LRW)
Descriptors: Concept Mapping, Foreign Countries, Higher Education, Inquiry
Flanagan, Robin C.; Black, John B. – 1997
Computer-based learning environments are proliferating in an effort to make more resources available to more students in more timely and individualized ways without overtaxing diminishing budgets. Many computer-based learning environments are designed to facilitate meaningful interaction, however, interactivity is only one of the factors that…
Descriptors: Comprehension, Computer Assisted Instruction, Computer Uses in Education, Grade 3
Peer reviewedRamberg, Robert – Computers in Human Behavior, 1996
Discussion of explanations and knowledge representation within knowledge-based systems focuses on the development of an expert system for purification of proteins in a Swedish laboratory. Topics include domain conceptualization; a multiple-explanation construction model; a study of laboratory staff that investigated construed explanations; and…
Descriptors: Computer Assisted Instruction, Expert Systems, Foreign Countries, Knowledge Representation
Morgan, Tom – Learning & Leading with Technology, 1996
Discusses the use of technology to enhance student learning based on learning processes. Topics include knowledge chunks, assimilation and repetition, cognitive schema, Bloom's Taxonomy, students manipulating the learning environment, student productivity, and checkpoints for evaluating technology utilization. (LRW)
Descriptors: Computer Assisted Instruction, Educational Environment, Educational Technology, Evaluation Methods
Hoffmann, Michael H. G. – Educational Studies in Mathematics, 2006
This comment attempts to identify different "semiotic perspectives" proposed by the authors of this special issue according to the problems they discuss. These problems can be distinguished as problems concerning the representation of mathematical knowledge, the definition and objectivity of meaning, epistemological questions of learning and…
Descriptors: Semiotics, Problems, Definitions, Learning Processes
Peer reviewedNicoll, Gayle – Journal of Chemical Education, 2003
Reports research that investigates the encoding that students use to develop molecular models at the undergraduate level. Focuses on the translation between symbolic and subatomic representations of molecules. (Contains 31 references.) (DDR)
Descriptors: Atomic Structure, Chemistry, College Curriculum, Concept Formation
Peer reviewedAllix, Nicholas M. – Australian Journal of Education, 2000
Argues that although Gardner's conception of human cognition, characterized by a set of multiple and distinct cognitive capabilities, is an advance over the narrow conception of IQ, it runs into fundamental difficulties of a methodological kind and is based on a discredited empiricist theory of knowledge which work with artificial neural networks…
Descriptors: Artificial Intelligence, Cognitive Psychology, Criticism, Epistemology
Peer reviewedGardner, Howard; Connell, Michael – Australian Journal of Education, 2000
Replies to "The Theory of Multiple Intelligences: A Case of Missing Cognitive Matter," also in this issue. Disagrees about the role theory of knowledge plays in the context of justification of multiple intelligences. Specifically, asserts that the article's criticisms based on philosophy of science claims and work with artificial neural…
Descriptors: Artificial Intelligence, Cognitive Psychology, Criticism, Epistemology

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