What does this mean?
This shows "learning outcomes" (things that you can learn) in the COMP2129 MOOC for the selected Learner Model. A Learner Model is basically what the system thinks this person knows.
Each small circle is a learning outcome. The meanings of the colours of the circles are given in the colour key. There is a more detailed explanation below.
Click on these small circles for a detailed explanation and access to teaching materials. Hover over any circle for a brief descriptive tooltip.
Next Learning Outcome:
Our suggestion for what to learn next has a thick, dashed/dotted border and red text.
Click a large circle to zoom in. Click outside of the zoomed circle to zoom back out.
The Reference Model is only shown in Expert mode; it is a second learner model or curriculum that you are comparing the Main model against. The Filter causes a specified, limited subset of the model to be shown.
Colours of the learning outcomes are determined by combining the "main" model with the "reference" model. The ACM "Knowledge levels" (indicating how thoroughly material is understood) are ignored for this; the only distinction made is "Unknown" or "Known."
- If they match, or if there is no reference model, the "Known" (true) and "Unknown" (false) colours are used.
- If there is a reference model, the "Exceeds Expectations" colour is used if the "Main" model is known but the "Reference" model is unknown.
- The "Fails to Meet Expectations" colour is used when the Main model is Unknown but the Reference model is Known.
The larger circles represent nested portions of the learner model - for example, "Operating Systems" falls under "Computer Science."
If you search for text, any items with that text in the description will be shown in blue
. The highlighted item with red text
is the system's suggestion for your "next" thing to learn.