BECAS
BRUZZONE Manuel
artículos
Título:
Preliminary Development of an Item Bank and an Adaptive Test in Mathematical Knowledge for University Students
Autor/es:
GHIO, FERNANDA BELÉN; BRUZZONE, MANUEL; LUIS ROJAS-TORRES; CUPANI, MARCOS
Revista:
European Journal of Science and Mathematics Education
Editorial:
Bastas Publications
Referencias:
Lugar: Bastas; Año: 2022 vol. 10 p. 352 - 365
Resumen:
In the last decades, the development of computerized adaptive testing (CAT) has allowed moreprecise measurements with a smaller number of items. In this study, we develop an item bank(IB) to generate the adaptive algorithm and simulate the functioning of CAT to assess thedomains of mathematical knowledge in Argentinian university students (N=773). Data wereanalyzed from the Rasch model. A simulation design created with the R software was used todetermine the necessary items of the IB to estimate examinee ability. Our results indicate thatthe IB in the domains of mathematical knowledge is adequate to be applied in CAT, especially toestimate average ability levels. The use of CAT is recommended for rapidly generating indicatorsof the knowledge acquired by students and to design educational strategies that enhancestudent performance. Results, constrains, and implications of this study are discussed.