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Shahar Rozenstin; Shai Gul – International Journal of Mathematical Education in Science and Technology, 2023
Topology is considered an advanced field in mathematics, and it might seem off-putting to people with no previous experience in mathematics. The classification theorem, which lies within the field of algebraic topology, is fascinating, but understanding it requires extensive mathematical knowledge. In this manuscript, we present a modular object…
Descriptors: Design, Topology, Classification, Mathematics Education
Dimitris Anastasiou – International Journal for Research in Learning Disabilities, 2024
The field of specific learning disabilities (SLDs) has faced three kinds of challenges. "Constitutional challenges" arise from classification and definitional complexities, identification issues, comorbidity, and ontological debates. "Internal challenges" include the inherent difficulties of scientific thinking that compete…
Descriptors: Learning Disabilities, Accessibility (for Disabled), Conflict, Classification
Pothos, Emmanuel M.; Bailey, Todd M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2009
Naive observers typically perceive some groupings for a set of stimuli as more intuitive than others. The problem of predicting category intuitiveness has been historically considered the remit of models of unsupervised categorization. In contrast, this article develops a measure of category intuitiveness from one of the most widely supported…
Descriptors: Classification, Intuition, Mathematical Models, Prediction
Malt, Barbara C.; Sloman, Steven A. – Cognition, 2007
Daily experience is filled with objects that have been created by humans to serve specific purposes. For such objects, the very act of creation may be a key element of how people understand them. But exactly how does creator's intention matter? We evaluated its contribution to two forms of categorization: the name selected for an artifact, and…
Descriptors: Intention, Classification, Intuition, Concept Formation
Peer reviewedEdmonds, Gerald S.; And Others – Educational Technology Research and Development, 1994
Presents a conceptual framework for comparing instructional design models and employing appropriate design applications. Highlights include the classification system on which the framework is centered and how the framework allows for the models' instructional context and the size of the audience. (27 references) (KRN)
Descriptors: Classification, Comparative Analysis, Evaluation, Evaluation Methods

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