Generalising IRT to Discriminate Between Examinees
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
We present a generalisation of the IRT framework that allows to discriminate between examinees. Our model therefore introduces examinee parameters that can be optimised with Expectation Maximisation-like algorithms. We provide
empirical results on PISA data showing that our approach leads to a more appropriate grouping of PISA countries than by test scores and socio-economic indicators.
empirical results on PISA data showing that our approach leads to a more appropriate grouping of PISA countries than by test scores and socio-economic indicators.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Educational Data Mining |
| Editors | Olga Cristina Santos, Jesus Gonzalez Boticario, Cristobal Romeo, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, Jose Maria Luna, Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastian Ventura, Michel Desmarais |
| Number of pages | 2 |
| Place of Publication | Madrid |
| Publisher | National University for Distance Education (UNED) |
| Publication date | 2015 |
| Pages | 604-605 |
| ISBN (print) | 978-84-606-9425-0 |
| Publication status | Published - 2015 |
| Externally published | Yes |
| Event | 8th International Conference on Educational Data Mining - EDM 2015 - Madrid, Spain Duration: 26.06.2015 → 29.06.2015 Conference number: 8 http://educationaldatamining.org/EDM2015/ |
- Informatics
- Business informatics