Generalising IRT to Discriminate Between Examinees

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Generalising IRT to Discriminate Between Examinees. / Boubekki, Ahcène; Brefeld, Ulf; Delacroix, Thomas.
Proceedings of the International Conference on Educational Data Mining. Hrsg. / 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. Madrid: National University for Distance Education (UNED), 2015. S. 604-605.

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Boubekki, A, Brefeld, U & Delacroix, T 2015, Generalising IRT to Discriminate Between Examinees. in OC Santos, JG Boticario, C Romeo, M Pechenizkiy, A Merceron, P Mitros, JM Luna, C Mihaescu, P Moreno, A Hershkovitz, S Ventura & M Desmarais (Hrsg.), Proceedings of the International Conference on Educational Data Mining. National University for Distance Education (UNED), Madrid, S. 604-605, 8th International Conference on Educational Data Mining - EDM 2015 , Madrid, Spanien, 26.06.15. <http://www.educationaldatamining.org/EDM2015/proceedings/edm2015_proceedings.pdf>

APA

Boubekki, A., Brefeld, U., & Delacroix, T. (2015). Generalising IRT to Discriminate Between Examinees. In O. C. Santos, J. G. Boticario, C. Romeo, M. Pechenizkiy, A. Merceron, P. Mitros, J. M. Luna, C. Mihaescu, P. Moreno, A. Hershkovitz, S. Ventura, & M. Desmarais (Hrsg.), Proceedings of the International Conference on Educational Data Mining (S. 604-605). National University for Distance Education (UNED). http://www.educationaldatamining.org/EDM2015/proceedings/edm2015_proceedings.pdf

Vancouver

Boubekki A, Brefeld U, Delacroix T. Generalising IRT to Discriminate Between Examinees. in Santos OC, Boticario JG, Romeo C, Pechenizkiy M, Merceron A, Mitros P, Luna JM, Mihaescu C, Moreno P, Hershkovitz A, Ventura S, Desmarais M, Hrsg., Proceedings of the International Conference on Educational Data Mining. Madrid: National University for Distance Education (UNED). 2015. S. 604-605

Bibtex

@inbook{0171c5d2f9ef47518069e608eb8f9fd0,
title = "Generalising IRT to Discriminate Between Examinees",
abstract = "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 provideempirical 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.",
keywords = "Informatics, Business informatics",
author = "Ahc{\`e}ne Boubekki and Ulf Brefeld and Thomas Delacroix",
year = "2015",
language = "English",
isbn = "978-84-606-9425-0",
pages = "604--605",
editor = "Santos, {Olga Cristina} and Boticario, {Jesus Gonzalez} and Cristobal Romeo and Mykola Pechenizkiy and Agathe Merceron and Piotr Mitros and Luna, {Jose Maria} and Cristian Mihaescu and Pablo Moreno and Arnon Hershkovitz and Sebastian Ventura and Michel Desmarais",
booktitle = "Proceedings of the International Conference on Educational Data Mining",
publisher = "National University for Distance Education (UNED)",
address = "Spain",
note = "8th International Conference on Educational Data Mining - EDM 2015 , EDM Conference 2015 ; Conference date: 26-06-2015 Through 29-06-2015",
url = "http://educationaldatamining.org/EDM2015/",

}

RIS

TY - CHAP

T1 - Generalising IRT to Discriminate Between Examinees

AU - Boubekki, Ahcène

AU - Brefeld, Ulf

AU - Delacroix, Thomas

N1 - Conference code: 8

PY - 2015

Y1 - 2015

N2 - 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 provideempirical 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.

AB - 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 provideempirical 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.

KW - Informatics

KW - Business informatics

M3 - Article in conference proceedings

SN - 978-84-606-9425-0

SP - 604

EP - 605

BT - Proceedings of the International Conference on Educational Data Mining

A2 - Santos, Olga Cristina

A2 - Boticario, Jesus Gonzalez

A2 - Romeo, Cristobal

A2 - Pechenizkiy, Mykola

A2 - Merceron, Agathe

A2 - Mitros, Piotr

A2 - Luna, Jose Maria

A2 - Mihaescu, Cristian

A2 - Moreno, Pablo

A2 - Hershkovitz, Arnon

A2 - Ventura, Sebastian

A2 - Desmarais, Michel

PB - National University for Distance Education (UNED)

CY - Madrid

T2 - 8th International Conference on Educational Data Mining - EDM 2015

Y2 - 26 June 2015 through 29 June 2015

ER -

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