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Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
Vista, Alvin – European Journal of Educational Research, 2019
Cheating detection is an important issue in standardized testing, especially in large-scale settings. Statistical approaches are often computationally intensive and require specialised software to conduct. We present a two-stage approach that quickly filters suspected groups using statistical testing on an IRT-based answer-copying index. We also…
Descriptors: Cheating, Identification, Computer Software, Standardized Tests
El Rassi, Mary Ann Barbour – International Association for Development of the Information Society, 2019
It has long been debated whether the Open-Book-Open-Web exam was useful and efficient as the traditional closed book exams. Some scholars and practitioners have doubted the efficiency and the possibility of cheating in the OBOW as it is not directly monitored. This paper tends to investigate the effectiveness of OBOW exams by comparing them with…
Descriptors: Developing Nations, Test Format, Tests, Cheating
Kalender, Ilker – Applied Psychological Measurement, 2012
catcher is a software program designed to compute the [omega] index, a common statistical index for the identification of collusions (cheating) among examinees taking an educational or psychological test. It requires (a) responses and (b) ability estimations of individuals, and (c) item parameters to make computations and outputs the results of…
Descriptors: Computer Software, Computation, Statistical Analysis, Cheating
Nath, Leda; Lovaglia, Michael – College Teaching, 2009
Academic dishonesty is unethical. Exam cheating is viewed as more serious than most other forms (Pincus and Schmelkin 2003). The authors review the general cheating problem, introduce a program to conservatively identify likely cheaters on multiple-choice exams, and offer a procedure for handling likely cheaters. Feedback from students who confess…
Descriptors: Feedback (Response), Cheating, Multiple Choice Tests, Student Attitudes
Veldkamp, Bernard P. – International Journal of Testing, 2008
Integrity[TM], an online application for testing both the statistical integrity of the test and the academic integrity of the examinees, was evaluated for this review. Program features and the program output are described. An overview of the statistics in Integrity[TM] is provided, and the application is illustrated with a small simulation study.…
Descriptors: Simulation, Integrity, Statistics, Computer Assisted Testing
Wentzel, Carolyn – Journal of Science Education and Technology, 2006
INTEGRITY, an item analysis and statistical collusion detection (answer copying) online application, was reviewed. Features of the software and examples of program output are described in detail. INTEGRITY was found to be easily utilized with an abundance of well-organized documentation and built-in features designed to guide the user through the…
Descriptors: Item Analysis, Computer Software, Multiple Choice Tests, Costs
Marks, Anthony M.; Cronje, Johannes C. – Educational Technology & Society, 2008
Computer-based assessments are becoming more commonplace, perhaps as a necessity for faculty to cope with large class sizes. These tests often occur in large computer testing venues in which test security may be compromised. In an attempt to limit the likelihood of cheating in such venues, randomised presentation of items is automatically…
Descriptors: Educational Assessment, Educational Testing, Research Needs, Test Items

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