Skip to main content

Modeling Exercise

A modeling exercise asks you to draw rather than to write: a UML class diagram, an activity diagram, a use case diagram. You build it in Artemis's own editor, and it is marked element by element — a comment and a mark against the class or the association it concerns, rather than one mark for the whole picture.

Start the Exercise

The exercise appears on the course's exercise list once it is released, with the task, the points it is worth and its due date. Start exercise creates your participation; until you do that there is no canvas to draw on.

Modeling exercise before starting, with the task and the due date
A modeling exercise before you start it

Once you have started, opening the exercise takes you straight back to the editor.

Draw and Submit

The task sits beside the canvas, and the components your diagram type offers are in the palette on the left: drag one onto the canvas, then drag from its edge to another element to connect them. Explanation, under the canvas, is worth writing whenever a choice in the diagram needs justifying — an assessor reads it alongside the diagram.

The editor saves the diagram by itself, roughly every thirty seconds while there is anything unsaved, and each of those saves counts as your submission as long as the due date has not passed. Submit saves straight away and confirms it, and it refuses an empty diagram, which the automatic save does not check. You can submit as often as you like before the due date — the last version is the one that is marked.

Modeling editor with the palette, the canvas and the task beside it
Drawing a diagram

AI Feedback on a Draft

Where your instructor has switched it on, Request AI feedback gives you preliminary feedback on a submitted diagram before the due date, so you can fix what it finds and submit again. It reads both the structure of your diagram and its layout, and the comments land on the individual elements they are about rather than arriving as one verdict on the whole thing.

It is not your mark: a tutor or instructor assesses your work after the due date regardless.

See AI Feedback on a Draft for how to ask for it, what comes back, and the limits on how often.

Search documentation