Modify gradebook data model to allow for extra credit, equal weighting, exclude grade item from grading, new statistics
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Tim Hull January 8, 2009 at 12:13 PM
Is this supposed to be exposed in the UI in any way? If so, what should we see?
James Renfro September 29, 2008 at 9:32 AM
Chen has committed the patch and sql files to trunk as r52717.
Peter Knoop September 29, 2008 at 7:22 AM
[Bulk Comment] This Task (or Sub-Task) issue currently is Unresolved, but has a Fix Version of 2.6. The Code Freeze for Sakai 2.6 has now passed (29-Sep-2008, 8:00am Eastern US time).
If you are still working to resolve this issue for 2.6, then please post an email to sakai-dev to let everyone now that you need an exception for this JIra, explain what is left to do, and when you plan to have the work completed; please include that information here in the Jira as well.
Otherwise, if the resolution of this task has been postponed, please reset the Fix Version to 2.7 or Unknown, depending on what you're new expectations for completion are. If the issue is no longer relevant, please close the issue as Won't Fix or Incomplete with an explanation of why.
Thanks!
James Renfro September 25, 2008 at 3:26 PM
Note that drop lowest was also a property on Category when this change was finalized and so is no longer included in the scope for this JIRA.
James Renfro September 25, 2008 at 3:21 PM
Final revision of strategy is as follows:
We're going to limit our changes to the data model for 2.6, as per the attached files. The branch DOES NOT need to be merged back to trunk. The patch should be sufficient.
The "new" new plan is to use a patch against trunk.
Here's the old description:
As discussed with Lance and team, the plan here is to branch Gradebook from the following branch:
https://source.sakaiproject.org/svn/gradebook/branches/SAK-10427
This branch will incorporate the following changes to the API (I'm not sure if we need to create tickets for each one or not):
1. Drop Lowest / Highest Grade
2. Extra Credit Grade Items
3. Exclude a Grade Item from Grading
4. New Statistics (Rank in Class, Median Score, Standard Deviation)
5. Allow for Equal Weighting within a Weighted Category