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I was wondering whether it would be possible to add a "weight" column to the .csv file generated by the Kathara Lab Checker.
The idea would be that the sum of all weights equals the total score (or total number of tests). This would allow different tests to contribute differently to the final result. For example, simple existence checks could have a lower weight than more important functional checks such as IP verification.
It would also be very useful to make these weights easily configurable, depending on the type of lab. For instance, in DNS labs, I might want DNS-related tests to have a higher weight than basic IP checks.
For example (total weight = 10):
Test Description,Passed,Reason,WeightCheck existence of `r1`,True,OK,0.5Check existence of `r2`,True,OK,0.5Check existence of `r1.startup` file,True,OK,0.5Check existence of `r2.startup` file,True,OK,0.5Verifying the IP address (10.0.1.2/24) assigned to eth0 of h1,True,OK,4
...
This would allow more pedagogically meaningful grading by emphasizing the most important learning objectives of each lab. (This is the objectif of my master thesis ;) )
What do you think about this approach?
I can help to code this feature, with some help.
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Hello,
I was wondering whether it would be possible to add a "weight" column to the
.csvfile generated by the Kathara Lab Checker.The idea would be that the sum of all weights equals the total score (or total number of tests). This would allow different tests to contribute differently to the final result. For example, simple existence checks could have a lower weight than more important functional checks such as IP verification.
It would also be very useful to make these weights easily configurable, depending on the type of lab. For instance, in DNS labs, I might want DNS-related tests to have a higher weight than basic IP checks.
For example (total weight = 10):
This would allow more pedagogically meaningful grading by emphasizing the most important learning objectives of each lab. (This is the objectif of my master thesis ;) )
What do you think about this approach?
I can help to code this feature, with some help.
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