Developing a prediction model for the incidence of academic Cheating tendency in students based on academic variables

The purpose of this study was to determine and anticipate academic Cheating in students based on educational satisfaction, academic motivation and Self-handicapping. This research was carried out through descriptive correlational method and the statistical population of this study was 12215 students of Bu-Ali Sinai University. A sample of 300 students was selected. Using cluster sampling method, the clustering of the community based on the college and then its classification based on gender and gender selection were done. The required data were collected using Hartre's Educational Motivation Questionnaire (1981), Jones and Rudolt's academic Self-handicapping (1982), Mohseni's educational satisfaction (2010), and Frasat’s attitude toward academic Cheating (1392). Using multiple linear regression Simultaneously analyzed.The results of the analyzes showed that the variables considered including educational satisfaction and academic motivation and Self-handicapping were in general 15% related to the student's tendency toward academic Cheating (p ) Additionally, academic self-sufficiency alone can predict 39% of the students' academic motivation and 17% of the student's attitudes toward academic Cheating (p = 0.01).Based on these findings, if we want to reduce the amount of counterfeit students' behavior, we have to take steps to increase the student's academic motivation; as Self-handicapping of students decreases, the probability of their tendency toward academic Cheating Will also decrease.