On Comparative Study for Two Diversified Educational Methodologies Associated with “How to Teach Children Reading Arabic Language?” (Neural Networks’ Approach)
This paper considered the increasingly sophisticated
role of artificial neural networks (ANNs) after its applications at the
interdisciplinary discipline incorporating neuroscience, education, and
cognitive sciences. Recently, those applications have resulted in some
interesting findings which recognized and adopted by neurological, educational,
in addition to linguistic researchers. Accordingly,ANNmodels vary in relation to the nature of assigned brain functioning to be
modeled. For example, as human learning that takes place autonomously according
to received stimuli that are realistically simulated through self-organization
modeling. This paper adopts the conceptual approach of (ANN)
models inspired by functioning of highly specialized biological neurons
specified in reading brain based on the organization the brain’s structures/substructures.
Additionally, in accordance with the prevailing concept of individual intrinsic
characterized properties of highly specialized neurons, presented models
closely correspond to performance of these neurons for developing reading brain
in a significant way. More specifically, introducedANNmodels herein concerned with the importance of reading brain’s cognitive goal in
fulfillment of enhanced academic achievement. That’s to translate visualized (orthographic word-from) into a spoken voiced
word (phonological word-form). In this context, the presented work illustrates viaANNsimulation and practical obtained results: How
ensembles of highly specialized neurons could be dynamically involved in
performing the cognitive function of developing reading brain. In more details,
this paper presents an interdisciplinary approach adopting a fairly realistic approach
of comparative academic performance assessment of two diverse educational
methodologies. More specifically, this piece of research aims to improve
conventional (classical) academic performance of Teaching How to Read Arabic Language using
Methodology via application of a designed Computer Based Learning module. That’s shown to be in well
agreement likewise the Artificial Neural Network (ANN),
associative memories theories, cognitive multimedia, and classical
conditioning. More
specifically, coincidence detection learning process has been adopted for
evaluation of brain reading performance. Interestingly, presented comparative
study originated from the children’s brain response time till
reaching learning process convergence that is mapped into academic achievement
(outcome mark) values. Accordingly, there response time has been adopted as an
appropriate ANN’s
candidate parameter for assessment of both educational methodologies. Moreover, analysis of students’ individual differences
has been presented after reaching desired output (correct) answer.
Cite this paper
Mustafa, H. M. H. and Tourkia, F. B. (2016). On Comparative Study for Two Diversified Educational Methodologies Associated with “How to Teach Children Reading Arabic Language?” (Neural Networks’ Approach). Open Access Library Journal, 3, e3186. doi: http://dx.doi.org/10.4236/oalib.1103186.
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