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Lemantara, Julianto; Hariadi, Bambang; Sunarto, M. J. Dewiyani; Amelia, Tan; Sagirani, Tri – IEEE Transactions on Learning Technologies, 2023
A quick and effective learning assessment is needed to evaluate the learning process. Many tools currently offer automatic assessment for subjective and objective questions; however, there is no such free tool that provides plagiarism detection among students for subjective questions in a learning management system (LMS). This article aims to…
Descriptors: Students, Cheating, Prediction, Essays
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Patrzek, Justine; Sattler, Sebastian; van Veen, Floris; Grunschel, Carola; Fries, Stefan – Studies in Higher Education, 2015
In prior studies, academic procrastination has been discussed as an influencing factor of academic misconduct. However, empirical studies were conducted solely cross-sectionally and investigated only a few forms of academic misconduct. This large scale web-based study examined the responses of between 1359 and 2207 participants from different…
Descriptors: Time Management, Cheating, Foreign Countries, Correlation
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Jurdi, Rozzet; Hage, H. Sam; Chow, Henry P. H. – Social Psychology of Education: An International Journal, 2012
This paper identifies those behaviours that students perceive to be academically dishonest and sheds light on several demographic, academic and situational factors that predict students' perceptions of academic dishonesty. Data for this investigation were obtained through self-administered questionnaires from a sample of 321 undergraduate students…
Descriptors: Undergraduate Students, Student Attitudes, Learning Strategies, Ethics
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Youmans, Robert J. – Studies in Higher Education, 2011
In two studies, students at California State University, Northridge wrote papers that were checked for plagiarism using plagiarism-detection software. In the first study, half of the students in two classes were randomly selected and told by the professor that their term papers would be scanned for plagiarism using the software. Students in the…
Descriptors: Plagiarism, Computer Software, Research Papers (Students), Prediction
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Hard, Stephen F.; Conway, James M.; Moran, Antonia C. – Journal of Higher Education, 2006
This study investigated faculty and college student beliefs concerning student academic misconduct. Faculty beliefs predicted efforts to prevent misconduct and efforts to challenge it. Student beliefs predicted frequency of misconduct. Faculty and students overestimated the extent of misconduct, students to a greater degree. Faculty who…
Descriptors: Undergraduate Students, Student Attitudes, College Faculty, Teacher Attitudes