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Dr. hassan mohamed hassan moustafa :: Publications:

Title:
On Early Discovery of Mathematically Creative Children using Artificial Neural Networks Modeling (with a case study)
Authors: H.M. Mustafa
Year: 2011
Keywords: Not Available
Journal: Not Available
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper hassan mohamed hassan moustafa_3.pdf
Supplementary materials Not Available
Abstract:

Learning creativity is an interesting educational phenomenon usually observed at children classrooms. Early discovery of individual children having mathematical creativity is a challenging interdisciplinary research issue. This piece of research focuses on quantitative analysis and evaluation of mathematical learning creativity on the basis of acquired “Subjective Domains of Experiences” (SDE) inside children's brain. Acquisition of (SDE) assumed to modify a children's stored experience via application of various multimedia Computer Assisted Learning (CAL) packages (modules). Accordingly, fairly assessment of mathematical learning time response has been adopted herein for analysis and evaluation of learning creativity acquired by (SDE). By some details, early discovery of creativity could be performed well in accordance with obtained learning assessment results. That is after solving correctly a suggested mathematical topic (at children classrooms).Furthermore, interactive interference between Reflective and Spontaneous Vorstellungen* during mathematical education has been simulated using supervised and autonomous Artificial Neural Network (ANN) learning paradigms. *The German word Vorstellungen is used in replacement of the vague English expression “internal representation” [H.M. Mustafa On Early Discovery of Mathematically Creative Children using Artificial Neural Networks Modeling (with a case study). Journal of American Science 2011;7(6):418-429]. (ISSN: 1545-1003). http://www.americanscience.org.

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