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Ullah, A. M. M. Sharif – Education Sciences, 2019
This article addresses some fundamental issues of concept mapping relevant to discipline-based education. The focus is on manufacturing knowledge representation from the viewpoints of both human and machine learning. The concept of new-generation manufacturing (Industry 4.0, smart manufacturing, and connected factory) necessitates learning factory…
Descriptors: Concept Mapping, Manufacturing, Engineering Education, Knowledge Representation
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Edwards, Richard; Carmichael, Patrick – Discourse: Studies in the Cultural Politics of Education, 2012
There is a long tradition in education of examination of the hidden curriculum, those elements which are implicit or tacit to the formal goals of education. This article draws upon that tradition to open up for investigation the hidden curriculum and assumptions about students and knowledge that are embedded in the coding undertaken to facilitate…
Descriptors: Information Technology, Semantics, Case Method (Teaching Technique), Hidden Curriculum
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Paquette, Gilbert – Technology, Instruction, Cognition and Learning, 2010
This article analyses educational modelling with the IMS-LD specification from the perspective of knowledge-based learning environments. An extension of the MOT visual language covers a wider variety of rule formats to provide control of the flow of activities in a multi-actor process-based scenario. The visual scenarios are executed by an…
Descriptors: Instructional Design, Standards, Visual Aids, Electronic Learning
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Benson, Allen C. – Journal of Archival Organization, 2009
This article explores ontological principles and their potential applications in the formal description of archival photographs. Current archival descriptive practices are reviewed and the larger question is addressed: do archivists who are engaged in describing photographs need a more formalized system of representation, or do existing encoding…
Descriptors: Photography, Visual Aids, Archives, Semantics
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Ifenthaler, Dirk – Educational Technology Research and Development, 2010
The demand for good instructional environments presupposes valid and reliable analytical instruments for educational research. This paper introduces the "SMD Technology" (Surface, Matching, Deep Structure), which measures relational, structural, and semantic levels of graphical representations and concept maps. The reliability and validity of the…
Descriptors: Concept Mapping, Educational Research, Semantics, Validity
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McNamara, Danielle S.; McDaniel, Mark A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
In 3 experiments, the authors examined the role of knowledge activation in the suppression of contextually irrelevant meanings for ambiguous homographs. In Experiments 1 and 2, participants with greater baseball knowledge, regardless of reading skill, more quickly suppressed the irrelevant meaning of ambiguous words in baseball-related, but not…
Descriptors: Figurative Language, Sentences, Inhibition, Reading Skills
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Vigliocco, Gabriella; Vinson, David P.; Lewis, William; Garrett, Merrill F. – Cognitive Psychology, 2004
This paper presents the Featural and Unitary Semantic Space (FUSS) hypothesis of the meanings of object and action words. The hypothesis, implemented in a statistical model, is based on the following assumptions: First, it is assumed that the meanings of words are grounded in conceptual featural representations, some of which are organized…
Descriptors: Semantics, Hypothesis Testing, Models, Syntax
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Kintsch, Eileen – Topics in Language Disorders, 2005
This article begins with a brief overview of the psychological research on the pedagogical efficacy of questions and describes how recent research has led to a reevaluation of the role of questions within the framework of a theoretical model of discourse comprehension processes and knowledge representation. A computer-based tutor for reading…
Descriptors: Computer Assisted Instruction, Reading Comprehension, Tutors, Questioning Techniques
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Holland, V. Melissa; Kaplan, Jonathan D. – Instructional Science, 1995
Describes the role of natural language processing (NLP) techniques, such as parsing and semantic analysis, within current language tutoring systems. Examines trends, design issues and tradeoffs, and potential contributions of NLP techniques with respect to instructional theory and educational practice. Addresses limitations and problems in using…
Descriptors: Computer Assisted Instruction, Instructional Design, Intelligent Tutoring Systems, Knowledge Representation