Computer-based Adaptive Speed Tests
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Computer-based Adaptive Speed Tests. / Brefeld, Ulf; Bengs, Daniel.
The 7th International Conference on Educational Data Mining EDM 2014: Proceedings. ed. / John Stamper; Zachary Pardos; Manolis Mavrikis; Bruce M. McLaren. London, 2014. p. 221-224.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Computer-based Adaptive Speed Tests
AU - Brefeld, Ulf
AU - Bengs, Daniel
N1 - Conference code: 7
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Informatics
KW - Business informatics
UR - http://educationaldatamining.org/EDM2014/index.php?page=proceedings
M3 - Article in conference proceedings
SN - 978-0-9839525-4-1
SP - 221
EP - 224
BT - The 7th International Conference on Educational Data Mining EDM 2014
A2 - Stamper, John
A2 - Pardos, Zachary
A2 - Mavrikis, Manolis
A2 - McLaren, Bruce M.
CY - London
T2 - 7th International Conference on Educational Data Mining - EDM 2014
Y2 - 4 July 2014 through 7 July 2014
ER -