Analysis of Open University Learning Analytics Dataset (OULAD). It contains data about courses, students and their interactions with Virtual Learning Environment (VLE) for seven selected courses (called modules).
Repository for groupwork project in Introduction in Data Science course, University of Tartu.
The Open University is a public non-profit higher education institution based in the UK. The Open University delivers knowledge exclusively via distance learning in over 100 countries worldwide. Our aim is to identify main factors that influence students performance and efficiency of particular modules (courses), and also to build a model for the final score prediction based on available parameters. Data consists of 7 interconnected tables which contain variables such as: student demographic information, students scores, students interaction with VLE (sum of the clicks, registration/withdrawal dates etc.). Findings of the research are visualised in the pptx poster file `Poster_Open University.pptx`