Abstract
Science and mathematics teachers face the dual challenge of mastering subject-specific expertise and developing the pedagogical skills necessary for implementing integrated science, technology, engineering, and mathematics (STEM) lessons. Research indicates a deficiency in teachers’ pedagogical competencies, particularly in project-based learning (PBL) within STEM context. To address this, the study administered a questionnaire to 245 specialized science and mathematics teachers in Qatar, aiming to examine their competencies and self-efficacy within the realm of technological pedagogical content knowledge. The focus is specifically on its integration with PBL and STEM content. Additionally, the study explores the influence of demographic and contextual factors, including gender, teaching experience, major academic subject, possession of an education certificate, specialization in STEM disciplines, and workload hours, on science and teachers’ competencies and self-efficacy in technology integration when teaching through PBL and STEM approaches. The study’s findings highlight the pivotal role of gender, formal teacher education, and the unique expertise of teachers. Surprisingly, teaching experience and school level did not show significant differences among science and mathematics teachers. However, gender disparities persist, with male teachers scoring higher in technology integration, necessitating ongoing research. Discipline-specific differences underscore the need for tailored professional development. While workload does not significantly impact technology integration, a supportive school culture is crucial, especially in secondary schools. The findings not only deepen our understanding of these factors but also provide valuable insights for crafting targeted interventions, robust professional development programs, and support systems.
License
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Article Type: Research Article
EURASIA J Math Sci Tech Ed, Volume 20, Issue 5, May 2024, Article No: em2442
https://doi.org/10.29333/ejmste/14467
Publication date: 01 May 2024
Online publication date: 17 Apr 2024
Article Views: 1975
Article Downloads: 1003
Open Access References How to cite this article