Maybe one thought to add to my original post above: assuming that we calculate penalty points the same way as we calculate positice points (as I propose), what happens if there is only one wrong alternative but three correct ones, i.e. the reverse of the above example?
In that case each correct answer gives 1 point and the wrong answer gives 3 penalty points. So we have a somewhat similar situation as the one I originally compained about: if the student chooses the wrong answer, they will get no points, no matter how many correct answers they choose. The only difference compared to the current situation I complained about above is that there is only a single "loose all" question, whereas in the other example, there are three "loose all" questions and only one "win all" question. But I still think that my proposal is better than the current state exactly because of this difference. Students are much more likely to loose all when they get many "loose all" alternatives than when they only get one.
As I think about it, the difference between the current state and my proposal boils down to what model of knowledge we use. The Canvas' knowledge model seems to give partial credit to partial knowledge: if there is only one correct answer, it assumes that all wrong answers are equally wrong and if student picks one of those, they don't have any of the knowledge required in this question. If there are multiple correct answers, it assumes that whatever wrong answer there is, it is only as wrong as one of the right answers is right. So while it does not allow for partial knowledge in the first scenario, it does so in the second.
In a way it makes sense, becaus if there is only one right answer to a question, that seems to indicate a kind of "black and white" question, without greyzones (i.e. partial knowledge). But the problem is that the answer alternatives in a quiz do not represent the nature of the question. They are chosen by the teacher based on various reasons. If the teacher provides only one correct alternative, that doesn't mean that the other alternatives are totally wrong. In fact, they are often designed to be partially correct, for obvious reasons.
So what are the assumptions behind my suggestion? (I'm finding this out as I write):
When there is only one correct answer but multiple wrong ones, I would assume that only all wrong answers combined can wipe out the knowledge indicated by the correct answer (as opposed to a single wrong answer wiping out the correct one). Putting it differently, I'd assume that a student who selects only the correct answer has full knowledge of the subject matter, not just because he/she selected that answer but also because he/she didn't select the other answers. If the student selects one of the wrong answers, this therefore doesn't indicate that the student has no knowledge, but less than full knowledge. Hence he/she loses only part of the points earned with the correct answer.
Finally, the other scenario, with one wrong and multiple right answers: here, the assumption is obviously that full knowledge is indicated by selecting all correct answers and not selecting the wrong alternative, but if the wrong answer is selected, that wipes out any knowledge indicated by the correct answers.
TBH, I'm not really happy with that either. My intuition tells me that the wrong answer should only eliminate one of the correct answers, not all of them.
So the general formula for that would be to determine points and penalties by dividing the maximum points with either the number of correct or wrong altermatives, whichever is greater.
What do you say about that? I'm starting to thing that the best solution would probably be to allow us to manually set the number of penalty points for each wrong alternative. That would allow us to also take the degree of "wrongness" into consideration.
This discussion post is outdated and has been archived. Please use the Community question forums and official documentation for the most current and accurate information.