Critical thinking disposition and learning approach as predictors of mathematics performance
Kyla Mae Agustin Salviejo, Edwin Daniega Ibañez, Jupeth Toriano Pentang
Abstract
In the Philippines, improving pre-service math teachers’ critical thinking is receiving increasing attention, emphasizing the importance of tailoring instructional methods to students’ learning approaches for a more equitable environment and enhanced mathematics performance. Thus, this study aimed to determine if the critical thinking disposition subscales (reflective, attentiveness, open-mindedness, organization, perseverance, and intrinsic motivation) and learning approach (deep approach and surface approach) predict the mathematics performance of pre-service math teachers. This study employed a descriptive-correlational research design to randomly selected 125 pre-service math teachers from Central Luzon, Philippines. The survey instruments are administered through the student-educator negotiated CTDs scale, the revised two-factor study process questionnaire, and the 40- item validated test. Using descriptive analysis, findings revealed that preservice mathematics teachers have moderate levels of CTD, most of which use a deep approach and have average mathematics performance. Regression analysis showed that CTD and the deep approach were predictors. Therefore, pre-service mathematics teachers with a higher CTD and a deep approach are likelier to perform better in mathematics. These findings provide valuable insights into enhancing mathematics teacher education.
Keywords
Intrinsic motivation; Mathematics education; Prospective teachers; Reflective thinking; Thinking skills
DOI:
https://doi.org/10.11591/edulearn.v18i4.21386
Refbacks
There are currently no refbacks.
Copyright (c) 2024 Intelektual Pustaka Media Utama
This work is licensed under a
Creative Commons Attribution 4.0 International License .
This work is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License .
Journal of Education and Learning (EduLearn) ISSN: 2089-9823, e-ISSN 2302-9277 Published by Intelektual Pustaka Media Utama (IPMU) in collaboration with the Institute of Advanced Engineering and Science (IAES) .
<div class="statcounter"><a title="web analytics" href="http://statcounter.com/" target="_blank"><img class="statcounter" src="//c.statcounter.com/10243437/0/02b261b1/0/" alt="web analytics"></a></div> View EduLearn Stats