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Metacognitive Strategies for Mathematical Modeling with Engineering Groups of Students: Adaptation and Validation of a Questionnaire.

Authors :
Cárcamo-Mansilla, Noemí
Aravena-Díaz, María D.
Source :
International Journal of Cognitive Research in Science, Engineering & Education (IJCRSEE). 2024, Vol. 12 Issue 1, p41-56. 16p.
Publication Year :
2024

Abstract

A sequential exploratory mixed-methods study is implemented to develop an instrument that allows for the evaluation of the metacognitive strategies used by engineering groups of students when solving mathematical modeling problems. The findings of the qualitative study guided by observations and interviews reveal the use of metacognitive strategies of 'planning', 'monitoring and, if necessary, regulation', and 'evaluation'. In this article, we present the final categories of the qualitative analysis and discuss how these data were shaped into a theoretical construct and items of an instrument to measure metacognitive strategies. The psychometric properties of the instrument are analyzed, and it is argued that it has a similar interpretation among males and females, as there are no significant differences in these results. The development of the present study demonstrates how the qualitative method can support the adaptation of an instrument to measure metacognitive strategies, thus contributing to validity and applicability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2334847X
Volume :
12
Issue :
1
Database :
Academic Search Index
Journal :
International Journal of Cognitive Research in Science, Engineering & Education (IJCRSEE)
Publication Type :
Academic Journal
Accession number :
176827883
Full Text :
https://doi.org/10.23947/2334-8496-2024-12-1-41-55