Abstract:

The course “Econometric Methods in Economics and Finance” includes issues related to data tracking, collection, evaluation and analysis. We adapt the practice sessions in the classroom and the hands-on exercises of this course to the free software R; moving from the commercial software EViews. We also integrate “DataCamp for the classroom”, which is a commercial interactive learning platform for Data Science that contains this free module for Academics, into our learning platform CVUCM-Moodle 3.4. We propose new approaches for teaching, learning and assessment in face-to-face and blended environments to improve the e-learning experience of our students. In particular, we prepare teaching and learning resources using R Markdown. These resources support self-oriented learning, which would allow us to move to a flipped classroom model. We also develop a specific R package for the course. We use Kahoot and R/exams for summative assessment. The e-assessment is used in conjunction to hands-on exercises to reduce the time taken to mark coursework.

Keywords:

R-adaptation, e-learning, hands-on exercises, e-assessment, flipped classroom, self-learning.