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Direct linkMcClung, Emily L.; Schneider, Joanne Kraenzle – Journal of Academic Ethics, 2015
Over the last several decades there has been an increase in the amount of research conducted concerning academically dishonest behaviors at the undergraduate level. However, this research and subsequent interventions are based on the assumptions that there exists a clear understanding of what constitutes academic dishonesty. In an attempt to…
Descriptors: Undergraduate Students, Cheating, Student Attitudes, Classification
Download full textDemir, Ergul – Eurasian Journal of Educational Research, 2018
Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…
Descriptors: College Students, Cheating, Test Construction, Student Behavior
Shanahan, Kevin J.; Hopkins, Christopher D.; Carlson, Les; Raymond, Mary Anne – Marketing Education Review, 2013
Employing and testing shoplifting-based constructs, we develop and validate a new multifaceted cheating behavior scale that allows educators to segment cheating behavior into what students perceive as trivial versus serious cheating. Results confirm that shoplifting-based scales perform well as predictors of cheating and also suggest that from…
Descriptors: Correlation, Classification, Crime, Cheating
Cavalcanti, Elmano Ramalho; Pires, Carlos Eduardo; Cavalcanti, Elmano Pontes; Pires, Vládia Freire – Informatics in Education, 2012
Text mining has been used for various purposes, such as document classification and extraction of domain-specific information from text. In this paper we present a study in which text mining methodology and algorithms were properly employed for academic dishonesty (cheating) detection and evaluation on open-ended college exams, based on document…
Descriptors: Cheating, College Students, Student Behavior, Classification
Perry, Bob – Active Learning in Higher Education, 2010
Academic research and newspaper stories suggest that academic misconduct, including plagiarism, is on the increase. This apparent increase coupled with new internet enterprises selling "pass" papers and customized research are worrying trends. Academic misconduct is deeply harmful in a number of ways by devaluing awards, frustrating…
Descriptors: Plagiarism, Student Attitudes, Cheating, Teaching Methods
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
