Students at Risk for Being Reported for Cheating

被引:41
作者
Bertram Gallant T. [1 ]
Binkin N. [2 ]
Donohue M. [2 ]
机构
[1] Rady School of Management, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093-0069, CA
[2] Family Medicine & Public Health, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093-0631C, CA
关键词
Academic cheating; High risk populations; Risk factors;
D O I
10.1007/s10805-015-9235-5
中图分类号
学科分类号
摘要
Student cheating has always been a problem in higher education, but detection of cheating has become easier with technology (Bertram Gallant 2008). As a result, more students are being caught and reported for cheating. While reporting cheating is not a negative, the rippling effects of reported cheating (e.g., reduced time to degree) may be felt by some populations (e.g., first-generation college students, international students) more than others. Thus, preventing cheating would be a preferable option for all involved. Identifying those at risk for being reported for cheating is a first step in developing preventive measures. Previous research has attempted to do this through the use of self-report surveys, but such research takes considerable time and resources to conduct and suffers from low response rates and social desirability bias. To address this limitation in existing research, this study links existing data from records of other-reported cheating to university registration data in order to examine 6 cheating risk factors identified in previous research: maturity level, gender, grade point average, major, international student status, and fear of punishment. The results of the study suggest that international and transfer students, particularly those who are male, in high-risk majors (like computer science, economics and engineering), and have lower grade point averages, are in particular need of preventative education. Likewise, those faculty who teach in computer science, engineering and economics majors should do more to educate implement practices to reduce the likelihood of cheating. © 2015, Springer Science+Business Media Dordrecht.
引用
收藏
页码:217 / 228
页数:11
相关论文
共 42 条
[1]  
Baird J.S., Current trends in college cheating, Psychology in the Schools, 17, 4, pp. 515-522, (1980)
[2]  
lme4: linear mixed-effects models using Eigen and S4, ArXiv e-print
[3]  
submitted to Journal of Statistical Software, (2014)
[4]  
Bazerman M.H., Tenbrunsel A.E., Blind spots: Why we fail to do what’s right and what to do about it, (2011)
[5]  
Bertram Gallant T., Academic Integrity in the twenty-first century: A teaching and learning imperative, (2008)
[6]  
Bertram Gallant T., Drinan P., Toward a model of academic integrity institutionalization: informing practice in higher education, Canadian Journal of Higher Education, 38, 2, pp. 25-44, (2008)
[7]  
Bertram Gallant T., Anderson M.G., Killoran C., Academic integrity in a mandatory physics lab: the influence of post-graduate aspirations and grade point averages. Science & Engineering Ethics. Online First Issue. Reprinted in Volume 19, Issue 1 (2013), pgs, pp. 219-235, (2011)
[8]  
Bunn D., Caudill S., Gropper D., Crime in the classroom: an economic analysis of undergraduate student cheating behavior, Research in Economic Education, 23, 2, pp. 197-297, (1992)
[9]  
Coren A., Turning a blind eye: faculty who ignore student cheating, Journal of Academic Ethics, 9, 4, pp. 291-305, (2011)
[10]  
Crown D., Spiller M., Learning from the literature on collegiate cheating: a review of empirical research, Journal of Business Ethics, 17, pp. 683-700, (1998)