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Design of Computer-Aided Instruction Model Based on Knowledge Graph Construction and Learning Path Recommendation
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Bin Meng; Fan Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation
Of Hubert Dreyfus and Dead Horses: Some Thoughts on Dreyfus'"What Computers Still Can't Do."
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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
Artificial Tutoring Systems: What Computers Can and Can't Know.
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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
Learning from a Computer Tutor with Natural Language Capabilities
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Michael, Joel; Rovick, Allen; Glass, Michael; Zhou, Yujian; Evens, Martha – Interactive Learning Environments, 2003
CIRCSIM-Tutor is a computer tutor designed to carry out a natural language dialogue with a medical student. Its domain is the baroreceptor reflex, the part of the cardiovascular system that is responsible for maintaining a constant blood pressure. CIRCSIM-Tutor's interaction with students is modeled after the tutoring behavior of two experienced…
Descriptors: Natural Language Processing, Medical Students, Computer Mediated Communication, Artificial Intelligence
Ontological Support in Modeling Learners' Problem Solving Process
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Lu, Chun-Hung; Wu, Chia-Wei; Wu, Shih-Hung; Chiou, Guey-Fa; Hsu, Wen-Lian – Educational Technology & Society, 2005
This paper presents a new model for simulating procedural knowledge in the problem solving process with our ontological system, InfoMap. The method divides procedural knowledge into two parts: process control and action performer. By adopting InfoMap, we hope to help teachers construct curricula (declarative knowledge) and teaching strategies by…
Descriptors: Problem Solving, Teaching Methods, Models, Educational Games
An Application of Artificial Intelligence to the Choreography of Dance.
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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