期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：34
期号：1
页码：1-8
DOI：10.14445/22312803/IJCTT-V34P101
出版社：Seventh Sense Research Group
摘要：The purpose of this study is to model the factors that are influential on academic procrastination behaviour with artificial neural network. The population of the research consisted of students in undergraduate programs of Ankara University. A sample was not selected from the population since access to the whole population was targeted. So, this study was carried out on 1271 university students. Information about personal and sociodemographic features in the research was gathered with a form prepared by the authors. The Academic Procrastination Scale and the General Procrastination Scale were applied in the study to explore the levels of academic procrastination and general procrastination of the participants. The influential factors on academic procrastination were scrutinized by using Radial Basis Function Artificial Neural Network. It is clear that the “general procrastination tendency”, “selfassessment of course attendance”, “studying habit satisfaction”, “Preference in revision for exams” and “Planning before any kind of tasks” predictors are influential on academic procrastination tendency. In this study, neural network which is one of the robust and unbiased methods was applied to the educational data due to the its’ predictive ability.
关键词：Academic Procrastination; General Procrastination; Artificial Neural Networks; Radial Basis Function.
