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Mogharreban, Namdar – Journal of Information Technology Education, 2004
A typical tutorial system functions by means of interaction between four components: the expert knowledge base component, the inference engine component, the learner's knowledge component and the user interface component. In typical tutorial systems the interaction and the sequence of presentation as well as the mode of evaluation are…
Descriptors: Knowledge Level, Student Characteristics, Intelligent Tutoring Systems, Systems Development
Lim, Kyu Yon – ProQuest LLC, 2008
The purpose of this study was to investigate the effectiveness of concept mapping strategies with different levels of generativity in terms of knowledge acquisition and knowledge representation. Also, it examined whether or not learners' self-regulated learning (SRL) skills influenced the effectiveness of concept mapping strategies with different…
Descriptors: Concept Mapping, Undergraduate Students, Knowledge Representation, Program Effectiveness
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Stankov, Slavomir; Rosic, Marko; Zitko, Branko; Grubisic, Ani – Computers & Education, 2008
Special classes of asynchronous e-learning systems are the intelligent tutoring systems which represent an advanced learning and teaching environment adaptable to individual student's characteristics. Authoring shells have an environment that enables development of the intelligent tutoring systems. In this paper we present, in entirety, for the…
Descriptors: Elementary Secondary Education, Intelligent Tutoring Systems, Artificial Intelligence, Tutoring
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Parton, Becky Sue – Journal of Deaf Studies and Deaf Education, 2006
In recent years, research has progressed steadily in regard to the use of computers to recognize and render sign language. This paper reviews significant projects in the field beginning with finger-spelling hands such as "Ralph" (robotics), CyberGloves (virtual reality sensors to capture isolated and continuous signs), camera-based…
Descriptors: Sign Language, Artificial Intelligence, Translation, Computational Linguistics
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Lombrozo, Tania; Carey, Susan – Cognition, 2006
Teleological explanations (TEs) account for the existence or properties of an entity in terms of a function: we have hearts because they pump blood, and telephones for communication. While many teleological explanations seem appropriate, others are clearly not warranted--for example, that rain exists for plants to grow. Five experiments explore…
Descriptors: Philosophy, Experiments, Psychology, Artificial Intelligence
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Monberg, John – Journal of Technology Studies, 2006
AI proponents possessed a seemingly odd predilection to tell stories about times in which no stories are or will be told. Their stories cover a range of time that exceeds that of human experience, beginning with a kind of creation myth about competing songs that are parasitic on the behavior of apes to trajectories of progress in which Man is…
Descriptors: Interaction, Mythology, Artificial Intelligence, Educational Change
Landauer, Thomas K., Ed.; McNamara, Danielle S., Ed.; Dennis, Simon, Ed.; Kintsch, Walter, Ed. – Routledge, Taylor & Francis Group, 2007
"The Handbook of Latent Semantic Analysis" is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols.…
Descriptors: Semantics, Natural Language Processing, Philosophy, Artificial Intelligence
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Dodigovic, Marina – Language Awareness, 2007
While theoretical approaches to error correction vary in the second language acquisition (SLA) literature, most sources agree that such correction is useful and leads to learning. While some point out the relevance of the communicative context in which the correction takes place, others stress the value of consciousness-raising. Trying to…
Descriptors: Second Language Learning, Computer Software, Remedial Instruction, Language Acquisition
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Powell, James; Wright, Theo; Newland, Paul; Creed, Chris; Logan, Brian – British Journal of Educational Technology, 2008
Is it possible to educate a fire officer to deal intelligently with the command and control of a major fire event he will never have experienced? The authors of this paper believe there is, and present here just one solution to this training challenge. It involves the development of an intelligent simulation based upon computer managed interactive…
Descriptors: Fire Protection, Fire Science Education, Artificial Intelligence, Case Studies
Sagan, Carl – Natural History, 1975
The author of this article believes that human survival depends upon the ability to develop and work with machines of high artificial intelligence. He lists uses of such machines, including terrestrial mining, outer space exploration, and other tasks too dangerous, too expensive, or too boring for human beings. (MA)
Descriptors: Artificial Intelligence, Bionics, Cybernetics, Human Factors Engineering
Clancey, W. J. – 1990
A major error in cognitive science has been to suppose that the meaning of a representation in the mind is known prior to its production. Representations are inherently perceptual--constructed by a perceptual process and given meaning by subsequent perception of them. The person perceiving the representation determines what it means. This premise…
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Structures, Learning Processes
Read, Walter; And Others – 1988
A discussion of the application of artificial intelligence to natural language processing looks at several problems in language comprehension, involving semantic ambiguity, anaphoric reference, and metonymy. Examples of these problems are cited, and the importance of the computational approach in analyzing them is explained. The approach applies…
Descriptors: Ambiguity, Artificial Intelligence, Comprehension, Epistemology
National Science Foundation. Washington, DC. Div. of Information Science and Technology. – 1982
This volume contains the reports of three working groups which were convened separately over a 3-year period at the request of the Advisory Committee for the Division of Information Science and Technology of the National Science Foundation to obtain the opinion of experts concerning research opportunities and trends in information science and…
Descriptors: Artificial Intelligence, Cognitive Processes, Economic Research, Information Science
Christensen, Dean L.; Tennyson, Robert D. – 1989
This paper presents a perspective of the current state of technology-assisted instruction integrating computer language, artificial intelligence (AI), and a review of cognitive science applied to instruction. The following topics are briefly discussed: (1) the language of instructional technology, i.e., programming languages, including authoring…
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Assisted Instruction, Educational Technology
Cocking, Rodney R.; Mestre, Jose P. – 1989
The focus of this paper is on cognitive science as a model for understanding the application of human skills toward effective problem-solving. Sections include: (1) "Introduction" (discussing information processing framework, expert-novice distinctions, schema theory, and learning process); (2) "Application: The Expert-Novice…
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, Learning Theories
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