Data Science Lab for Teaching Innovation (DSLAB-TI) is a teaching innovation group whose main mission is to promote the use of Data Science techniques and methods to enhance educational practices. Using data science methodologies, student data is collected through online questionnaires to build machine learning models capable of accurately predicting students’ future evaluations based on their partial results. These models help identify specific student profiles, enabling targeted actions to improve both teaching and learning processes. The results and models are presented through customized dashboards tailored to the needs of the end user. Models will be deployed in production by both instructors and students in courses following those used for training.
The proposed innovation actions are fully replicable, as the techniques and tools developed can be applied across all undergraduate and graduate courses offered at URJC. Instructors would only need to design course-specific questionnaires and access results and predictions via dedicated dashboards. These actions require a broad timeframe (at least two academic years) for full implementation.