An overview of the various data sources going into DCUs learner analytics system
They’re experimenting with the format a little, as this week saw three 5 minute talks from different departments on the subject of peer assessment. One theme that came out of all the sessions was the need to use anonymised marking for student confidence in the fairness of the process. I was particularly interested in Robert Gillanders experience of using negative marking as a motivator – for every 3% that students deviated from the mean in their peer marking, their own grade was reduced by 1%. I’m very curious about how this worked in practice and how ethical considerations were handled, and Gillanders has published a paper on this which I’m going to have to read.
The second session was on learner analytics from Cormac Quigley who talked about how they have taken data from multiple sources, only one of which was Moodle, and combined in Microsoft Power BI to produce a comprehensive learning analytics system, with the data and reports made available to staff via Teams. However, they also talked about the basic reporting functionality of Moodle, how you can combine grade book functionality with progress bars to create effective results for staff and students.
The full Moodle Munch archive is available online here.