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Academic Integrity in an Online Culture: Do McCabe’s Findings Hold True for Online, Adult Learners?

Abstract

This study examines how the self-reported cheating behaviors of students from a single large institution serving primarily adult students in online courses differ from those previously reported in large-scale studies of academic integrity among traditional-age college students. Specifically, the research presented here demonstrates that students at a large online university are no more likely to engage in most forms of cheating than the traditional-age students in residential institutions studied by Donald McCabe in his seminal research on academic integrity. Relatedly, our study finds that students’ age decreases the likelihood of engaging in cheating behaviors. Moreover, traditional-age undergraduates in our study were no more likely to engage in cheating behaviors than the undergraduate students McCabe surveyed. Our study offers a unique contribution to the extant literature on academic integrity, as we believe this is the largest survey of student attitudes, beliefs, and behaviors from a single institution. The research presented here confounds the common (mis)perception that cheating is more prevalent and easier to accomplish in online learning and assessment.

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Notes

  1. 1.

    As one of the preeminent scholars of academic integrity, Donald McCabe conducted many surveys of academic integrity and no doubt adapted and refined a variety of survey instruments over the years. The survey instrument referred to throughout this paper as “McCabe’s survey” and which we use for comparison purposes in this study was published by McCabe in 2005 (“Cheating among college and university students: A North American perspective”).

  2. 2.

    However, we note that the International Center for Academic Integrity is currently developing survey instruments that will provide an interesting comparison to our results here by making more recent data available.

  3. 3.

    An Ordered Logistic regression was also estimated, treating the dependent variable as ordered categories. The results were similar.

  4. 4.

    For example, the sample is 46% male, while UMUC’s population (per IPEDS) is 54% male. However, UMUC’s population (per IPEDS) is 3% “unknown,” while the sample is less than 1% non-binary/third gender, 1% “prefer to self describe,” and 6% “prefer not to say.”

References

  1. Alessio, H. M., Malay, N. J., Maurer, K., Bailer, A. J., & Rubin, B. (2017). Examining the effect of proctoring on online test scores. Online Learning, 21(1). https://doi.org/10.24059/olj.v21i1.885

  2. Beck, V. (2014). Testing a model to predict online cheating—Much ado about nothing. Active Learning in Higher Education, 15(1), 65–75. https://doi.org/10.1177/1469787413514646.

    Article  Google Scholar 

  3. Bertram Gallant, T. (2008). Academic integrity in the twenty-first century: A teaching and learning imperative. San Francisco: Jossey-Bass.

    Google Scholar 

  4. Black, E. W., Greaser, J., & Dawson, K. (2008). Academic dishonesty in traditional and online classrooms: Does the “media equation” hold true? Journal of Asynchronous Learning Networks, 12(3–4), 23–30.

    Google Scholar 

  5. Bowers, W. J. (1964). Student dishonesty and its control in college. New York: Bureau of Applied Social Research, Columbia University.

    Google Scholar 

  6. Carpenter, D. D., Harding, T. S., & Finelli, C. J. (2006). Engineering students’ perceptions of and attitudes towards cheating. Journal of Engineering Education, 95(3), 181–194.

    Article  Google Scholar 

  7. Clinefelter, D. D. L., & Aslanian, C. B. (2016). Online college students 2016: Comprehensive data on demands and preferences. Louisville: The Learning House, Inc..

    Google Scholar 

  8. Fask, A., Englander, F., & Wang, Z. (2014). Do online exams facilitate cheating? An experiment designed to separate possible cheating from the effect of the online test taking environment. Journal of Academic Ethics, 12(2), 101–112. https://doi.org/10.1007/s10805-014-9207-1.

    Article  Google Scholar 

  9. Fask, A., Englander, F., & Wang, Z. (2015). On the integrity of online testing for introductory statistics courses: A latent variable approach. Practical Assessment, Research, & Evaluation, 20(10) Retrieved from http://pareonline.net/getvn.asp?v=20&n=10.

  10. Gerdeman, R. (2000). Academic dishonesty and the community college. ERIC Clearinghouse for Community Colleges, University of California at Los Angeles.

  11. Harmon, O. R., & Lambrinos, J. (2008). Are online exams an invitation to cheat? The Journal of Economic Education, 39(2), 116–125. https://doi.org/10.3200/JECE.39.2.116-125.

    Article  Google Scholar 

  12. Hart, L., & Morgan, L. (2010). Academic integrity in an online registered nurse to baccalaureate in nursing program. The Journal of Continuing Education in Nursing, 41(11): 498–505. https://doi.org/10.3928/00220124-20100701-03

  13. Hollister, K. K., & Berenson, M. L. (2009). Proctored versus unproctored online exams: Studying the impact of exam environment on student performance. Decision Sciences Journal of Innovative Education, 7(1), 271–294. https://doi.org/10.1111/j.1540-4609.2008.00220.x.

    Article  Google Scholar 

  14. Human Rights Campaign. (2016, October 26). Collecting transgender-inclusive gender data in workplace and other surveys. Retrieved April 3, 2019, from Human Rights Campaign website: https://www.hrc.org/resources/collecting-transgender-inclusive-gender-data-in-workplace-and-other-surveys/

  15. Jordan, A. E. (2001). College student cheating: The role of motivation, perceived norms, attitudes, and knowledge of institutional policy. Ethics & Behavior, 11(3), 233–247. https://doi.org/10.1207/S15327019EB1103_3.

    Article  Google Scholar 

  16. Kelley, K. B., & Bonner, K. (2005). Digital text, distance education and academic dishonesty: Faculty and administrator perceptions and responses. Journal of Asynchronous Learning Networks, 9(1), 10.

    Google Scholar 

  17. Kennedy, K., Nowak, S., Raghuraman, R., Thomas, J., & Davis, S. F. (2000). Academic dishonesty and distance learning: Student and faculty views. College Student Journal, 34(2), 309.

    Google Scholar 

  18. King, C., Guyette, R., & Piotrowski, C. (2009). Online exams and cheating: An empirical analysis of business students’ views. The Journal of Educators Online, 6(1). https://doi.org/10.9743/JEO.2009.1.5

  19. Knowles, M. S., Holton III, E. F., & Swanson, R. A. (2012). The adult learner (6th ed.). Taylor & Francis Group. Retrieved from http://ebookcentral.proquest.com/lib/umdcp/detail.action?docID=680833

  20. McCabe, D. L. (2005). Cheating among college and university students: A North American perspective. International Journal for Educational Integrity, 1(1). http://dx.doi.org.proxy-um.researchport.umd.edu/10.21913/IJEI.v1i1.14

  21. McCabe, D. L., & Treviño, L. K. (1993). Academic dishonesty: Honor codes and other contextual influences. The Journal of Higher Education, 64(5), 522. https://doi.org/10.2307/2959991.

    Article  Google Scholar 

  22. McCabe, D. L., & Treviño, L. K. (1997). Individual and contextual influences on academic dishonesty: A multicampus investigation. Research in Higher Education, 38(3), 379–396.

    Article  Google Scholar 

  23. McCabe, D. L., Treviño, L. K., & Butterfield, K. D. (2001). Cheating in academic institutions: A decade of research. Ethics & Behavior, 11(3): 219–232 https://doi.org/10.1207/S15327019EB1103_2

  24. Miller, A., & Young-Jones, A. D. (2012, April). Academic integrity: Online classes compared to face-to-face classes. Presented at the meeting of the Southwestern Psychological Association, Oklahoma City, OK.

  25. Miller, A., Shoptaugh, C., & Parkerson, A. (2008). Under reporting of cheating in research using volunteer college students. College Student Journal, 42(2), 326–339.

    Google Scholar 

  26. Newstead, S. E., Franklyn-Stokes, A., & Armstead, P. (1996). Individual differences in student cheating. Journal of Educational Psychology, 88(2): 229–241. https://doi.org/10.1037/0022-0663.88.2.229

  27. Peng, Z. (2007). Giving online quizzes in corporate finance and investments for a better use of seat time. The Journal of Educators Online, 4(2). https://doi.org/10.9743/JEO.2007.2.3

  28. Rowe, N. C. (2004). Cheating in online student assessment: Beyond plagiarism. Online Journal of Distance Learning Administration, 7(2) Retrieved from https://www.westga.edu/~distance/ojdla/summer72/rowe72.html.

  29. Stuber-McEwen, D., Wiseley, P., & Hoggatt, S. (2009). Point, click, and cheat: Frequency and type of academic dishonesty in the virtual classroom. Online Journal of Distance Learning Administration, 12(3). Retrieved from https://www.westga.edu/~distance/ojdla/fall123/stuber123.html

  30. University of Maryland University College. (2018, June). Philosophy of Academic Integrity. Retrieved November 6, 2018, from https://www.umuc.edu/current-students/learning-resources/academic-integrity/philosophy.cfm

  31. Vazquez-Cognet, J., Sarmiento-Barbieri, I., & Chin, T. (2017). Can we stay one step ahead of cheaters? A clinical trial on the effect of proctoring in online exams. Department of Economics, University of Illinois.

  32. Watson, G. R., & Sottile, J. (2010). Cheating in the digital age: Do students cheat more in online courses? Online Journal of Distance Learning Administration, 13(1).

  33. Whitley, B. E. (1998). Factors associated with cheating among college students: A review. Research in Higher Education, 39(3), 235–274.

    Article  Google Scholar 

  34. Wiggins, G. P. (1993). Assessing student performance: Exploring the purpose and limits of testing. San Francisco, CA, US: Jossey-Bass.

    Google Scholar 

  35. Wolverton, B. (2016, August 28). The new cheating economy. The Chronicle of Higher Education. Retrieved from https://www.chronicle.com/article/The-New-Cheating-Economy/237587

  36. Yates, R. W., & Beaudrie, B. (2009). The impact of online assessment on grades in community college distance education mathematics courses. American Journal of Distance Education, 23(2), 62–70. https://doi.org/10.1080/08923640902850601.

    Article  Google Scholar 

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Correspondence to Laura Harris.

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Appendix

Appendix

Table 8 shows the results of a bivariate OLS regression where the predictor variable is a measure whether the respondent’s age is a missing value (coded as 1 if missing) and the dependent variable is a measure of how many cheating behaviors the respondent has engaged in.

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Harris, L., Harrison, D., McNally, D. et al. Academic Integrity in an Online Culture: Do McCabe’s Findings Hold True for Online, Adult Learners?. J Acad Ethics 18, 419–434 (2020). https://doi.org/10.1007/s10805-019-09335-3

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Keywords

  • Academic integrity
  • Online education
  • Adult learners
  • Student surveys
  • McCabe