Towards a Bayesian Student Model for Detecting Decimal Misconceptions
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
This paper describes the development and evaluation of a Bayesian network model of student misconceptions in the domain of decimals. The Bayesian model supports a remote adaptation service for an intelligent tutoring system within a project focused on adaptively presenting erroneous examples to students. We have evaluated the accuracy of the student model by comparing its predictions to the outcomes of the interactions of 255 students with the software. Students' logs were used for retrospective training of the Bayesian network parameters. The accuracy of the student model was evaluated from three different perspectives: its ability to predict the outcome of an individual student's answer, the correctness of the answer, and the presence of a particular misconception. The results show that the model is capable of producing predictions of high accuracy (up to 87%).
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 19th International Conference on Computers in Education, ICCE 2011 : ICCE 2011 |
| Editors | Fu-Yun Yu, Tsukasa Hirashima, Thepchai Supnithi, Gautum Biswas |
| Number of pages | 8 |
| Place of Publication | Chiang Mai |
| Publisher | Asia-Pacific Society for Computers in Education |
| Publication date | 2011 |
| Pages | 34-41 |
| ISBN (print) | 978-616-12-0188-3 |
| Publication status | Published - 2011 |
| Externally published | Yes |
| Event | 19th International Conference on Computers in Education - ICCE 2011 - Chiang Mai, Thailand Duration: 28.11.2011 → 02.12.2011 Conference number: 19 |
- Mathematics
- Bayesian networks, Bayesian student modeling, Student model evaluation