Estimating Programming Skills with Combined M-ERS and ELO Multidimensional Models
Fabiana Zaffalon, Andre Prisco, Ricardo de Souza, Jean Luca Bez, Neilor A. Tonin, Rafael Penna, Sílvia Silva da Costa Botelho · 2020
This complete article, from the research to practice category, presents an experiment carried out combining two models used to evaluate student skills, ELO Multidimensional and M-ERS. The objective of this experiment is to estimate and map the history of their multiple skills, in that way it was carried out incorporating the characteristic of the Multidimensional ELO - to track the history of multiple skills, and M-ERS - to estimating multiple skills that can be compensatory. To validate the experiment, we used a database composed of user submissions from an Online Judge platform from Brazil. Through the experiment results obtained, we concluded that for online programming problems platforms, the combination of both models proved to be satisfactory, through it was possible to map and observe the evolution of student's multiple skills.