A DIFFERENT APPROACH on SPATIAL PERCEPTION

Abstract

In this study, an experimental study was conducted with 4th grade students at classroom teaching department in Turkey in an attempt to describe the ideal classroom space for primary education students. In the research, photographs (images) of 20 different primary education classrooms were evaluated by 4th grade 100 students. The students evaluated the images by means of surveys in which they were asked questions on four concepts: belonging, like (partiality), learning and safety. Reliability analyses of numeric data obtained from student surveys were made and they were subjected to various statistical analyses. In the second part of the study, the students' preferences for the classroom spaces were evaluated by means of Artificial Neural Networks (ANN) method, by using numerical data obtained from the student about concepts as well as the classroom space photos. Levenberg-Marquart (LM) back-propagation algorithm has been used to train ANN model. Numerical data were treated and test procedures were performed to ensure that ANN makes decisions in the name of 4th grade students at classroom teaching department. It has been seen that ANN has been successful on solving complex problems such as user-perception evaluations thanks to its dynamic structure.