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ANALOGIC NON-PROPERLY PREPARED TEACHERS VERSUS NOISY CONTAMINATED OPTICAL CHARACTER RECOGNITION REGARDING STUDENTS’ ACADEMIC PERFORMANCE, ADOPTING ARTIFICIAL NEURAL NETWORKS’ MODELING