Providing you have uploaded content to your platform in xAPI format, this will allow you to surface and build visualisations of assessment results into Analytics. Regardless of whether a user passes or fails an assessment, there will be an xAPI statement sent to your LRS. The statement would typically look like the below;
Although it is evident from the statement above that the assessment was passed, we will now explore the statement to surface more information.
Assessment Results
Firstly, you will want to surface some user information. For this example, we will bring in the user's name by surfacing persona_name.
Next, we will bring in the verb_name, which will identify the user's status, whether it is pass/ fail.
Next step, might be to add a widget filter to the verb_name to only display those who passed and failed.
Next, you might want to surface the course_name;
Now we want to start surfacing some scores and scales to help understand a users pass or failed status.
When an xAPI statement is sent from the module to the LRS, that statement will also contain information similar to the below;
"result": {
"score": {
"scaled": 0.8,
"raw": 8,
"min": 0,
"max": 10
},The above can be described as the below:
- Scaled - The percentage of the assessment the user got correct
- Raw - The score that the user achieved during the assessment
- Max - What the max score was on the assessment
To now visualise this data within Analytics, we will start with adding the raw_score that the user achieved:
With the users score now added, the pivot table will now look like the below:
We can take this a step further and add the Max_score which will simply surface what the assessment was scored out of;
If you would perhaps like to present the users score as a percentage you can display this by pulling in Scaled_score;
When the scaled_score is added it will automatically present as below:
This can easily be presented as a percentage as shown below;
You might also like to add the date and time the assessment was taken, using the Timestamp field;
Your results will now look similar to the below, please note is it optional to which fields you wish to display and you can also update the heading names to something more meaningful using this guide.