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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
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
Giordano, Carolyn; Subhiyah, Raja; Hess, Brian – Online Submission, 2005
There are few certifying or recertifying examinations in the medical field that are given in a take-home format. This stems from a concern that examinees may discuss items with peers, or save copies of items on the exam and then pass them on to others. This study examined if item exposure on take-home examinations influences the difficulty of the…
Descriptors: Computer Software, Test Items, Certification, Licensing Examinations (Professions)