When colleges and universities quickly moved their classes online last March, many faculty members gave students the option of pass/fail (P/F) grading. Usually P/F implies a student must reach the minimum passing grade of D to be awarded a P. This brings up the question of what passing a course with a D means. How much of the course material did…

Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…

Two procedures for classifying examinees into categories, one based on the sequential probability ratio test (SPRT) and the other on sequential Bayes methodology, were compared to determine which required fewer items for classification. Results showed that the SPRT procedure requires fewer items to achieve the same accuracy level. (SLD)

Effects of reviewing items and altering responses on examinee ability estimates, test precision, test information, decision confidence, and pass/fail status were studied for 376 examinees taking 2 certification tests. Test precision is only slightly affected by review, and average information loss can be recovered by addition of one item. (SLD)

The level of confidence in pass/fail decisions obtained with computerized adaptive tests and paper-and-pencil tests was greater for 645 medical technology students when the computer adaptive test implemented a 90 percent confidence stopping rule than for paper-and-pencil tests of comparable length. (SLD)

The purpose of this article was to model United States Medical Licensing Examination (USMLE) Step 2 passing rates using the Cox Proportional Hazards Model, best known for its application in analyzing clinical trial data. The number of months it took to pass the computer-based Step 2 examination was treated as the dependent variable in the model.…

Describes an automated scoring algorithm for a computer-based simulation examination of physicians' patient-management skills. Results with 280 medical students show that scores produced using this algorithm are highly correlated to actual clinician ratings. Scores were also effective in discriminating between case performance judged passing or…