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Predicting Academic Dishonesty Factors by ML TuTor is a document available to read on EtoBox.
What is Predicting Academic Dishonesty Factors about?
This study investigates the relationship between social rational orientation and academic dishonesty among 357 undergraduate students, finding that both social rational orientation and perceived course value can predict the likelihood of cheating. It highlights the normalization of cheating in higher education and the need for understanding the rationalizations behind dishonest behaviors. The research suggests that future interventions could focus on altering students
- Author
- ML TuTor
- Language
- EN