How to Eliminate Cheating from an Introductory Computer Programming Course
Abstract
The problem of Computer Science students’ cheating in their homework assignments so far has been handled mainly through administrative punishment of the cheaters. The success of such an approach depends to a large degree on the ability of the instructor to recognize the fact of cheating, which is a complicated task. With a large number of students taking the course, identifying the cheaters sometimes requires considerable time. The author of this paper suggests a method of solving the cheating problem by changing the course grading policy. The suggested approach emphasizes the importance of regular checking of students’ understanding the course material.Downloads
References
Alcantara, C. (2012). University of Florida Students Caught Cheating on Computer Science Projects. The Independent Florida Alligator. March, 13, 2012.
Bidgood, J., Jeremy B. Merrill. (2017). As Computer Coding Classes Swell, So Does Cheating. The New York Times. May, 29, 2017.
Chamillard, A.T., Kim A. Braun. (2000). Evaluating programming ability in an introductory Computer Science course. SIGCSE '00 Proceedings of the thirty-first SIGCSE technical symposium on Computer science education, 212-216. DOI: https://doi.org/10.1145/330908.331857
Chuda, D., Navrat, P., Kovacova, B., Humay, P. (2012). The issue of (software) plagiarism: a student view. IEEE Transactions on Education, 55(1), 22-28. DOI: https://doi.org/10.1109/TE.2011.2112768
Gabriel, T. (2010). Cheaters find an adversary in technology. The New York Times, Dec. 27, 2010.
Fraser, R. (2014). Collaboration, collusion and plagiarism in Computer Science. Informatics In Education, 13(2), 179-195. DOI: https://doi.org/10.15388/infedu.2014.01
Krieger, L.M. (2010). Stanford finds cheating — especially among computer science students — on the rise. San Jose Mercury News, June 8, 2010.
Murray, W.H. (2010). Cheating in Computer Science. Ubiquity, 2. DOI: https://doi.org/10.1145/1865907.1865908
Phillips, P., Cohen, L. (2014). Convictions of plagiarism in computer science courses on the rise. The Daily Princetonian, March 4, 2014.
Rutgers University School of Arts and Sciences Advice for New Instructors on How to Prevent Academic
Dishonesty. [Online]. Available: http://www.finmath.rutgers.edu/academics-finmath/for-new-instructors/149-
advice-on-how-to-prevent-academic-dishonesty
Shaw, M., Jones, A., Knueven, P., McDermott, J., Miller, P., Notkin, D. (1980). Cheating policy in a Computer Science department. ACM SIGCSE Bull, 12(2), 72-76. DOI: https://doi.org/10.1145/989253.1165253
Silverman, M.P. (2015). Cheating or coincidence? Statistical method employing the principle of maximum entropy for judging whether a student has committed plagiarism. Open Journal of Statistics, 5, 143-157. DOI: https://doi.org/10.4236/ojs.2015.52018
Sukhodolsky, J. (2015). Cheating Prevention in Computer Science Courses. 2015 Proceedings of the Information Systems Education Orlando, Florida USA, 371-378.
Wagner, N. (2000). Plagiarism by Student Programmers, http://www.cs.utsa.edu/~wagner/pubs/plagiarism0.html
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