SCORM recommendations for clean data in an LMS

We've had some reporting anomalies lately in our LMS (Workday Learning). At the moment it appears to be isolated to a specific course. The score that gets reported to the LMS starts out as a percentage and then, within a few hours, changes to a raw points score that doesn't match the percentage score. For example, a 50/150 points (15 questions worth 10 points a piece) initially gets reported as a 33.3%, but then changes to a raw score of 100 after a few hours. The course in question has been updated several times with new SCORM files over its lifetime. We don't have course versioning in our LMS, so each time it gets updated the new SCORM file replaces the existing one.

All of our courses are SCORM 2004, 4th edition.

I've done a little digging and also had ChatGPT analyze a few of our SCORM files and it suggested that SCORM data can collide and cause reporting issues. Specifically when it comes to the SCO identifier and the scoringId_Results. The files it analyzed had the same SCO identifiers and scoringId_Results. The recommendation ChatGPT gave me was to:

• Make sure to do a Save As whenever we create a new version of an existing course, as this will create a new SCO identifier.
• Reubuild the quiz results slide for each course, rather than use the one built into our template, as this will produce a new scoringId_Results identifier.

 

At the moment we only have the one course where the reporting is not acting as expected, but I want to avoid future issues and make sure we get the cleanest data possible into our LMS.

1. Has anyone experienced a reporting problem like this before? If so, can you share how you solved it?
2. Are the recommendations ChatGPT suggested helpful recommendations?
3. Are there other recommendations I should be following to ensure the cleanest data?

 

Thank you in advance for your help!