MODELING OF READING PROBLEMS EXPERIENCED BY PRIMARY SCHOOL STUDENTS THROUGH ARTIFICIAL NEURAL NETWORKS

The aim of this study is to investigate the causes reading problems experienced by third-grade students because instructional malpractices in education and develop a modeling with artificial neural networks. It was carried out according exploratory sequential model consisted two stages. In qualitative part, data pool 35 items created for shortcomings caused educational practices that underlie through opinions 47 classroom teachers participating study. second part where checklist designed based on obtained first administered 174 who lecture third graders. numerical values are processed into MATLAB, different models, forecast classification developed regard, intends identify solutions potential may experience due before they arise, preventive actions.