DASH aims to develop a system that allows students to formulate learning goals in a more targeted way, steer them accordingly, and evaluate the extent to which they have been achieved.
Analysing intake, progression and outflow is essential for universities of applied sciences to gain insight into the position and significance of the school for students and the region.
Machine Learning and AI are taking off, also in higher education. These are valuable methods to use for analysing study data. But how fair and (un)biased are the resulting data and analyses?
Study data at The Hague University of Applied Sciences
The Learning Technology & Analytics lectorate analyses study data and provide insights to improve policy, quality, and education. Which analyses are helpful to make? And how to do so safely?
