L’Item Response Theory come strumento di valutazione delle eccellenze nella scuola

Authors

  • Cristiana Ceccatelli Università degli Studi "G. d'Annunzio", Pescara-Chieti
  • Tonio Di Battista Università degli Studi "G. d'Annunzio", Pescara-Chieti
  • Francesca Fortuna Università degli Studi "G. d'Annunzio", Pescara-Chieti
  • Fabrizio Maturo Università degli Studi "G. d'Annunzio", Pescara-Chieti

Keywords:

Item Response Theory, latent ability, evaluation, human capital

Abstract

According to the modern human capital theory, the learning process is assuming a central role for a country development. Therefore, it is very important to encourage an active and conscious learning. This paper shows the case of the National Olympic of Statistics, that is an initiative to improve statistic reasoning in the Second Grade Middle School. In particular, it has been analyzed, through Item Response Theory models, only one of the competition questionnaires. The aim of this work is to provide a critical review of the questionnaire and to highlight the importance of using statistical methods in evaluation processes.

Downloads

Download data is not yet available.

References

Baker F.B. (2001) The basics of item response theory, ERIC Clearinghouse on Assessment and Evaluation, Washington

Becker G. S. (1964) Human capital, University Press for the National Bureau of Economic Research, New York: Columbia

Ceccatelli C. (to appear, 2013) La centralità della valutazione nella valorizzazione dell'Istruzione del Capitale Umano, Franco Angeli, Milano

Ceccatelli C., Di Battista T., Fortuna F., Maturo F. (to appear, 2013) Best practices to improve the learning of statistics: the case of the National Olympics of Statistic in Italy, Procedia - Social and behavioral Sciences

Di Battista T. (2012) Metodi e tecniche della valutazione: un approccio statistico, Franco Angeli, Milano

Johnson M.S. (2007) Marginal maximum likelihood estimation of item response models in R, Journal of Statistical Software, 20 (10), 9-11

Levy P. (1996) L’intelligenza collettiva. Per un’antropologia del cyberspazio, Feltrinelli, Milano

Reckase M.D. (2009) Multidimensional item response theory, Springer, New York

Rizopoulos D. (2006) ltm: An R package for latent variable modeling and item response theory analyses, Journal of Statistical Software, 17 (5), 1-25

Van der Walt J.L. & Steyn, F. (2008) The validation of language tests. Stellenbosch Papers in Linguistics, 38, 191-204

Vertecchi, B. (2003) Manuale della valutazione. Analisi degli apprendimenti e dei contesti, volume 4, Franco Angeli, Milano

Downloads

Issue

Section

Volume 1 Issue 1 2013