American Journal of Educational Research
ISSN (Print): 2327-6126 ISSN (Online): 2327-6150 Website: http://www.sciepub.com/journal/education Editor-in-chief: Ratko Pavlović
Open Access
Journal Browser
Go
American Journal of Educational Research. 2021, 9(3), 125-132
DOI: 10.12691/education-9-3-6
Open AccessArticle

Analysis of Some Properties of the Rasch Model in Physics Education

Rubén Sánchez Sánchez1, and César Mora1

1Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada del, Instituto Politécnico Nacional. Unidad Legaria. Mexico City, Mexico

Pub. Date: March 25, 2021

Cite this paper:
Rubén Sánchez Sánchez and César Mora. Analysis of Some Properties of the Rasch Model in Physics Education. American Journal of Educational Research. 2021; 9(3):125-132. doi: 10.12691/education-9-3-6

Abstract

In the educational field, there are several ways to teach and evaluate students, especially in knowledge of electrical circuits. In this work, we discuss some properties of the dichotomous Rasch model applied to the area of Physics Education, to evaluate the learning performance of high school students in knowledge of electrical circuits. The teaching exercise and data collection were carried out in a Mexican High School. Here we show how the Rasch model helps us to appreciate progress that students have in their knowledge about electrical circuits, when using an active teaching methodology in the classroom.

Keywords:
Active Learning of Physics electrical circuits Rasch model learning methodologies

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]  Rost, J., “Chapter 2: The Growing Family of Rasch Models, in Essays on Item Response Theory, in Boomsma, A., van Duijn, M. A.J., Snijders, T. A. B. (Editors), Essays on Item Response Theory, Springer Sience+Business Media LLC, New York, 2001, 25-44.
 
[2]  Prieto, G., Delgado, A., “Análisis de un test mediante el modelo de Rasch”, Psicothema, 15 (1). 94-100. Jan. 2003.
 
[3]  Azariadis, C., Drazen, A., “Threshold Externalities in Economic Development”, Quaterly Journal of Economics, Cambridge, The Massachusetts Institute of Technology Press, 105. 1990. 501-526.
 
[4]  Abad F. J., Olea, J., Aguado, D., Ponsoda, D., Barrada, J. R., “Deterioro de parámetros de los ítems en test adaptativos informtizados: studio con eCAT”, Psicotema, 22 (2). 340-347.
 
[5]  Andersen, E. B., Olsen, L. W., “Chapter 1: The Life of Georg Rasch as a Mathematician and as a Statistician”, in Boomsma, A., van Duijn, M. A.J., Snijders, T. A. B. (Editors), Essays on Item Response Theory, Springer Sience+Business Media LLC, New York, 2001, 3-24.
 
[6]  Rost, J., “Chapter 2: The Growing Family of Rasch Models, in Essays on Item Response Theory, in Boomsma, A., van Duijn, M. A.J., Snijders, T. A. B. (Editors), Essays on Item Response Theory, Springer Sience+Business Media LLC, New York, 2001, 10-15.
 
[7]  Leo-Revilla, A., “Breve historia de R”. [Online]. Available:https://momentotic.com/2013/08/07/breve-historia-de-r/. [Accessed: Jan. 15, 2021].
 
[8]  Sokoloff, D., “Electric Circuits Conceptual Evaluation (ECCE)”. [Online]. Available: https://www.physport.org/assessments/assessment.cfm?I=25&A=ECCE. [Accessed: Jan. 15, 2021].
 
[9]  CRAN, “The R Project for Statistical Computing”. [Online].Available: htpps://www.r-project.org. [Accessed: Jan 15, 2021].
 
[10]  Zamora-Saiz, A., Quesada-González, C., Mondéjar-Ruiz, D., An Introduction to Data Analysis in R, Springer Nature, Switzerland, 2020.
 
[11]  Kronthaler, F., Zollner, S., Data Analysis with RStudio, Springer Spektrum, Berlin, 2021.
 
[12]  Baker, F. B., Kim, S. H., The Basics of Item Response Theory Using R, Springer Natute, Switzerland, 2017.
 
[13]  Rizopoulos, D., Package ltm. [Online].Available: https://cran.r-project.org/web/packages/ltm/ltm.pdf. [Accessed: Jan. 15, 2021].
 
[14]  CRAN, Latent Trait Model – Latent Variable Model for Binary Data, ltm help. [Online]. Available: http://127.0.0.1:31098/library/ltm/html/ltm.html. [Accessed: Jan 15, 2021].
 
[15]  Hake, R. R., “Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses”, Am. J. Phys. 66(1). 64-74. Jan.1998.