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Showing 1 to 15 of 26 results Save | Export
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Gibson, David; Kovanovic, Vitomir; Ifenthaler, Dirk; Dexter, Sara; Feng, Shihui – British Journal of Educational Technology, 2023
This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal…
Descriptors: Learning Theories, Artificial Intelligence, Learning Processes, Evaluation Criteria
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Downes, Stephen – Asian Journal of Distance Education, 2022
Connectivism is the thesis that knowledge is constituted of the sets of connections between entities, such that a change in one entity may result in a change in the other entity, and that learning is the growth, development, modification or strengthening of those connections. This paper presents an overview of connectivism, offering a connectivist…
Descriptors: Learning Theories, Social Networks, Learning Processes, Artificial Intelligence
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Minhong Wang – Knowledge Management & E-Learning, 2024
Learning is an integral part of being human. How people learn has long been discussed, revealed in many learning theories, investigated in numerous studies, and demonstrated in extensive practices. The goal of this article is to rethink how people learn from four fundamental perspectives, that is, learning by interaction with content (C), learning…
Descriptors: Learning Processes, Instructional Design, Learning Experience, Teaching Methods
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Huang, Wanju – TechTrends: Linking Research and Practice to Improve Learning, 2023
A design case is a form of scholarly writing in which the author embarks on a reflective journey sharing rich descriptions of their design, design processes, challenges, etc. This paper presents two design cases that demonstrate how learning theories and instructional design concepts were purposefully incorporated in two instructional applications…
Descriptors: Learning Processes, Instructional Design, Learning Theories, Artificial Intelligence
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Yankun He; Kenan Xiao – American Association for Adult and Continuing Education, 2024
ChatGPT is revolutionizing education by offering innovative learning methodologies and expanding accessibility to language learning. Existing studies stated that exposure to language-rich environments can help learners study a new language. ChatGPT can potentially increase language learning outcomes and performances by providing real-time…
Descriptors: Artificial Intelligence, Computer Software, Learning Processes, Second Language Learning
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Utecht, Jeff; Keller, Doreen – Critical Questions in Education, 2019
This paper will examine the eight principles of Connectivism Learning Theory and provide examples of how institutions of learning--K-12 and higher education--may think about applying them. Engaging in such work will allow institutions to take advantage of technological platforms as they exist today and into the future. While the Internet has…
Descriptors: Learning Theories, Elementary Schools, Secondary Schools, Critical Thinking
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Isotani, Seiji; Mizoguchi, Riichiro; Inaba, Akiko; Ikeda, Mitsuru – Computers & Education, 2010
One of the most useful ways to enhance collaboration is to create scenarios where learners are able to interact more effectively. Nevertheless, the design of pedagogically sound and well-thought-out collaborative learning scenarios is a complex issue. This is due to the context of group learning where the synergy among learners' interactions…
Descriptors: Instructional Design, Artificial Intelligence, Instructional Effectiveness, Group Dynamics
Anderson, John R.; And Others – 1978
The ACT theory of the learning of procedures is described. ACT is a computer simulation program that uses a propositional network to represent knowledge of general facts and a set of productions (condition action rules) to represent knowledge of procedures. There are currently four different mechanisms by which ACT can make additions and…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Programs, Language Processing
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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
Allison, Dennis J. – 1984
A theory of memory is introduced, which seeks to respond to the shortcomings of existing theories based on metaphors. Memory is presented as a mechanism, a comparison process in which information held in some form of immediate storage (whether based on perception or previous cognition or both) is compared to previously stored long-term storage.…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Science, Computers
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Duchastel, P.; And Others – Journal of Educational Technology Systems, 1989
Discusses intelligent computer assisted instruction (ICAI) and presents various models of learning which have been proposed. Topics discussed include artificial intelligence; intelligent tutorial systems; tutorial strategies; learner control; system design; learning theory; and knowledge representation of proper and improper (i.e., incorrect)…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Instructional Design
Hutchins, Edwin – 1987
This paper discusses the relationship between the mediation of task performance by some structure that is not inherent in the task domain itself and the phenomenon of automatization, in which skilled performance becomes effortless or phenomenologically "automatic" after extensive practice. The use of a common simple explicit mediating…
Descriptors: Adults, Artificial Intelligence, Check Lists, Cognitive Processes
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