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On the contrary - there's a few things they can do. They could examine the difference in results between the two tests at the individual-student level, for exam
by bdonlan 16y ago
On the contrary - there's a few things they can do. They could examine the difference in results between the two tests at the individual-student level, for example. Or, using the set of students who admit to their cheating as a training set, do a question-level analysis.
- PostOnce 16y agoDoesn't prove anything. Sometimes you don't get enough sleep and do poorly on a test. Sometimes you just have a great day. Using statistics as though they are hard facts and not merely suggestions of likelihood is a terrible idea when there is a question of guilt or innocence. I have in the past had wildly fluctuating grades. Don't believe everything your powerpoint-prettied software stats tell you.
- 3pt14159 16y agoDoes it 100% prove it? No. But what he can easily do is call up the top 200 most suspected students, get them to sit down in an office with nothing but a calculator and a pen and give them a very small subset of the original questions with the numbers changed. 20 people might be able to get them right, but a good 50 people arn't going to know where to start for any of the questions. Then all of a sudden it is "oh shit" time. If I were one of the "cheating" students I would come forward too. This actually happened when I was studying engineering at Waterloo. The course was calculus 3 and the prof, who normally taught math majors, didn't know that there was a university commissioned exam bank with previous exams for courses. Course coverage was sporadic for all but final exams, so we normally didn't check it, but the previous midterm was actually there. One of us found it 24 hours before the midterm, so half of us got it and half of us didn't. The prof had reused the hardest question. Long story short, nobody got in trouble, but the prof made it so your top and bottom "midterm" (there were 5 of them before the final) could be optional dropped together or not at all.