Computer-based Adaptive Speed Tests
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
The assessment of a person's traits is a fundamental prob-lem in human sciences. Compared to traditional paper & pencil tests, computer based assessments not only facilitate data acquisition and processing but also allow for adaptive and personalized tests so that competency levels are assessed with fewer items. We focus on speeded tests and propose a mathematically sound framework in which latent compe-tency skills are represented by belief distributions on com-pact intervals. Our algorithm updates belief based on di-rectional feedback; adaptation rate and difficulty of the task at hand can be controlled by user-defined parameters. We provide a rigorous theoretical analysis of our approach and report on empirical results on simulated and real world data, including concentration tests and the assessment of reading skills.
| Original language | English |
|---|---|
| Title of host publication | The 7th International Conference on Educational Data Mining EDM 2014 : Proceedings |
| Editors | John Stamper, Zachary Pardos, Manolis Mavrikis, Bruce M. McLaren |
| Number of pages | 4 |
| Place of Publication | London |
| Publication date | 2014 |
| Pages | 221-224 |
| ISBN (print) | 978-0-9839525-4-1 |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | 7th International Conference on Educational Data Mining - EDM 2014 : Big Data - Big Ben - Education Data Mining for Big Impact in Learning and Teaching - Institute of Education, London, UK, London, United Kingdom Duration: 04.07.2014 → 07.07.2014 Conference number: 7 http://www.educationaldatamining.org/EDM2014/ |
- Informatics
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