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Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
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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
Salem, Abdel-Badeeh M. – 2000
The field of Artificial Intelligence (AI) and Education has traditionally a technology-based focus, looking at the ways in which AI can be used in building intelligent educational software. In addition AI can also provide an excellent methodology for learning and reasoning from the human experiences. This paper presents the potential role of AI in…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Uses in Education, Curriculum Development
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Westera, Wim; van den Herik, Jaap; van de Vrie, Evert – Innovations in Education and Teaching International, 2004
The field of higher education shows a jumble of alliances between fellow institutes. The alliances are strategic in kind and serve an economy-of-scales concept. A large scale is a prerequisite for allocating the budgets for new educational methods and technologies in order to keep the educational services up-to-date. All too often, however,…
Descriptors: Computer Uses in Education, Higher Education, Foreign Countries, Consortia
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Koschmann, Timothy – Artificial Intelligence, 1996
Reviews Dreyfus's writings about human cognition and artificial intelligence (AI), and explains some of the implications of his position, particularly in education. Topics include Dreyfus' critique of AI, representationlaism and expertise, technology and its role in instruction, computer-assisted instruction, and intelligent tutoring systems. (JKP)
Descriptors: Artificial Intelligence, Cognitive Development, Cognitive Processes, Cognitive Psychology
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Frick, Theodore W. – Journal of Educational Computing Research, 1997
Maccia's epistemology of intelligent natural systems implies that computer systems must develop qualitative intelligence before knowledge representation and natural language understanding can be achieved. Emotion and sensation--capabilities which computers do not currently possess are vital to the growth of the mind (Stanley I. Greenspan).…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Computer Uses in Education
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Bradford, James H.; Cote-Laurence, Paulette – Computers and the Humanities, 1995
Describes an experimental computer program that attempts to simulate a choreographers' knowledge and expertise. The user expresses a set of rules that describe some of the dynamic aspects of a dance. These rules are applied nondeterministically by a "rule driver" program. The rule driver embodies a heuristic algorithm. (MJP)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Assisted Instruction, Computer Oriented Programs