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Computer-based Adaptive Speed Tests

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Standard

Computer-based Adaptive Speed Tests. / Brefeld, Ulf; Bengs, Daniel.
The 7th International Conference on Educational Data Mining EDM 2014: Proceedings. Hrsg. / John Stamper; Zachary Pardos; Manolis Mavrikis; Bruce M. McLaren. London, 2014. S. 221-224.

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Harvard

Brefeld, U & Bengs, D 2014, Computer-based Adaptive Speed Tests. in J Stamper, Z Pardos, M Mavrikis & BM McLaren (Hrsg.), The 7th International Conference on Educational Data Mining EDM 2014: Proceedings. London, S. 221-224, 7th International Conference on Educational Data Mining - EDM 2014 , London, Großbritannien / Vereinigtes Königreich, 04.07.14. <http://educationaldatamining.org/EDM2014/uploads/procs2014/short%20papers/221_EDM-2014-Short.pdf>

APA

Brefeld, U., & Bengs, D. (2014). Computer-based Adaptive Speed Tests. In J. Stamper, Z. Pardos, M. Mavrikis, & B. M. McLaren (Hrsg.), The 7th International Conference on Educational Data Mining EDM 2014: Proceedings (S. 221-224). http://educationaldatamining.org/EDM2014/uploads/procs2014/short%20papers/221_EDM-2014-Short.pdf

Vancouver

Brefeld U, Bengs D. Computer-based Adaptive Speed Tests. in Stamper J, Pardos Z, Mavrikis M, McLaren BM, Hrsg., The 7th International Conference on Educational Data Mining EDM 2014: Proceedings. London. 2014. S. 221-224

Bibtex

@inbook{6b5f5ae416414a368faa393b713f6c2c,
title = "Computer-based Adaptive Speed Tests",
abstract = "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.",
keywords = "Informatics, Business informatics",
author = "Ulf Brefeld and Daniel Bengs",
year = "2014",
language = "English",
isbn = "978-0-9839525-4-1",
pages = "221--224",
editor = "John Stamper and Zachary Pardos and Manolis Mavrikis and McLaren, {Bruce M.}",
booktitle = "The 7th International Conference on Educational Data Mining EDM 2014",
note = "7th International Conference on Educational Data Mining - EDM 2014 : Big Data - Big Ben - Education Data Mining for Big Impact in Learning and Teaching ; Conference date: 04-07-2014 Through 07-07-2014",
url = "http://www.educationaldatamining.org/EDM2014/",

}

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 -

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Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Dokumente

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  10. Public Lecture "Global Governance and Democracy" - 2015
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  1. Zeit der Umbrüche