Contributed paper list
(Tuesday 4th, 10:30-12:30)
A web-based exercise tool using randomized datasets for statistical education
AuthorsPeter Pipelers, Olivier Thas, Dries De Vleeschauwer, Jean-Pierre Ottoy
AbstractA learning environment for statistical education aims at providing on-line course material for distance learning. It typically also includes practical exercise material, providing the student the ability to test his/her statistical knowledge in a real-life situation. A desirable aspect of a self-test module is that students cannot cheat and copy the answers from their colleagues.
The Elestat project maintains this scenario with the construction of a web-based self-test module that contains many realistic datasets of which the observations are randomized before they are presented to a student, obliging the student to analyze a different dataset each time an exercise is started. The student is guided through the exercises in a step-by-step manner. The open source statistical software package R takes care of calculating the correct solution in real-time and offering immediate feedback. The web-technology is based on a collaboration between Java and the Rserve-interface. The Elestat project is accessible via the website www.elestat.be.