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Buitrago, Mauricio; Chiappe, Andres – Australasian Journal of Educational Technology, 2019
The representation of knowledge is a process widely used in education for its potential to generate deep learning, metacognition, and also in mapping the student's cognitive structure while developing a broad spectrum of thinking skills. Notwithstanding the above mentioned benefits, the development and evolution of new digital ecologies of…
Descriptors: Knowledge Representation, Educational Environment, Educational Technology, Thinking Skills
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Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2018
This paper summarizes key stages in development of the Structural Learning Theory (SLT) and explains how and why it is now possible to model human tutors in a highly efficient manner. The paper focuses on evolution of the SLT, a deterministic theory of teaching and learning, on which AuthorIT authoring and TutorIT delivery systems have been built.…
Descriptors: Artificial Intelligence, Models, Tutors, Learning Theories
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Scandura, Joseph M.; Novak, Elena – Technology, Instruction, Cognition and Learning, 2017
AuthorIT and TutorIT represent a fundamentally different approach to building and delivering adaptive learning systems. Intelligent Tutoring Systems (ITS) guide students as they solve problems. BIG DATA systems make pedagogical decisions based on average student performance. Decision making in AuthorIT and TutorIT is designed to model the human…
Descriptors: Intelligent Tutoring Systems, Decision Making, Knowledge Representation, Learning Theories
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Evers, 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
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Bereiter, 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
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Allix, 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
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Gardner, 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