This project built on previous work between MCT and WELS (formally FELS) on language use and student attainment at level 1, including in the production of TU100.
The project analysed Virtual Learning Enviornment (VLE) data with Artificial Neural Networks (ANNs), in order to identify patterns of behaviour that correlate with the likelihood of a student failing the End of Module Assessment (EMA).