Applying active learning to work with time series predictions

This study examines whether active learning activities based on time series forecasting for engineering students yield statistically significant improvements with respect to performance and engagement. In this context, a pair of team-based learning activities were implemented across two consecutive academic years in a STEM-related course. In the first one, students completed two activities involving statistical analysis of generic datasets, whereas in the second one, two activities centered on t