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Marco Rüth; Maria Jansen; Kai Kaspar – Journal of Computer Assisted Learning, 2024
Background: Online exams have become a more common form of assessment at universities due to the COVID-19 pandemic. However, cheating behaviour in online exams is widespread and threatens exam validity as well as student learning and well-being. Objective: To better understand the role of university students' needs, conceptions and reasons…
Descriptors: Foreign Countries, College Students, Computer Assisted Testing, Cheating
Chiao Ling Huang; Chen Ling; Shu Ching Yang – European Journal of Psychology of Education, 2024
The popularity of Internet usage and the diverse and rich information available online make it easier for students to engage in academic misconduct, especially Internet plagiarism (IP). Therefore, this study investigated the IP intention of Chinese students and analyzed the influence of gender, educational level, achievement goals (AG), low…
Descriptors: Cheating, Student Attitudes, Student Experience, Intention
Juan, Liu Xin; Tao, Wu Yun; Veloo, Palanisamy K.; Supramaniam, Mahadevan – SAGE Open, 2022
Dishonest academic behavior (DAB) by students in Chinese higher education institutions has become a significant concern. However, the related study of academic dishonesty in mainland China is very limited. This study fills this gap by examining the theory of planned behavior and its three extended versions, validating the effectiveness of…
Descriptors: Prediction, Models, Cheating, Behavior Theories

Roberts, Dennis; Rabinowitz, William – Review of Higher Education, 1992
In a study involving 550 students at 3 state universities, subjects read constructed passages concerning academic situations and judged whether cheating was involved. The impact of need, provocation, opportunity, and intentionality on student perceptions of the situations and the relationship of student grades, sex, and age were analyzed. (MSE)
Descriptors: Academic Achievement, Cheating, College Students, Higher Education