Actually I was trying to show both, but to put a significant spin on it.
I recall a lecturer once telling me that if a student had not logged into Moodle to access the materials after one week of the course beginning, that they were already behind. This is not necessarily the case for every module, every course everywhere, but for that lecturer, that college, that course, it was.
I have seen and heard similar events from different places, however the context is king.
Only the teacher could probably know if the person who has not accessed it, is going to be at a disadvantage, or if the person who is accessing it a lot may be struggling.
The only thing that a report or analytics can say, is that the behaviour of those two people are not the norm, and that one is statistically quite far from the norm - ie, related to their peers.
So if that document is a crucial practical guidance information, or assessment guidelines which need to be read by a certain time, this is another bit of information which needs to be analysed.
Now yes, perhaps this should be a completion element, which can then be tracked as complete or not to identify the non-activity, but hyper activity cannot be tracked by that approach.
So how does one approach such things?
I love statistics, I love the buzz from analysis and the identification of habit and or abnormalities.
I hope to be starting a test project where some analysis of relative analytis can be tested for specific criteria analysis
- relative to expectations
- relative to peers
- relative to overall individual performance
So if an expectation (e.g. study logs into Moodle within 1 day of course beginning) is not met, this is identified
So if a students (e.g. grade on an assignment) is significantly different to that of his peers on that activity it can be tracked
So if a students performance in one module is significantly different to his performance in another module, that this can be identified.
What someone does or interprets these as is a different matter, however they are statistically significant albeit, once context is added they may not be important, or they may be very important.