R-adaptation of the course “econometric methods in economics and finance”

  1. L. Escot 1
  2. A. Pérez Alonso 1
  3. J.E. Sandubete 1
  1. 1 Universidad Complutense de Madrid

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

EDULEARN19 Proceedings: 11th International Conference on Education and New Learning Technologies -- Palma, Spain. 1-3 July, 2019
  1. L. Gómez Chova (coord.)
  2. A. López Martínez (coord.)
  3. I. Candel Torres (coord.)

Publisher: IATED Academy

ISBN: 978-84-09-12031-4

Year of publication: 2019

Pages: 1318-1326

Congress: Edulearn. International conference on Education and New Learning Technology (11. 2019. Palma)

Type: Conference paper


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.