Factors impacting science and mathematics teachers’ competencies and self-efficacy in TPACK for PBL and STEM
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Resumo
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.
Dados da obra
- Tipo
- Artigo
- Periódico
- Eurasia Journal of Mathematics Science and Technology Education, v. 20, n. 5, p. em2442
- Editora
- Modestum Limited
- Ano
- 2024 (2024-04-17)
- Idioma
- en
- Palavras-chave
- TPACK; teacher self-efficacy; project-based learning; STEM education; science teachers; mathematics teachers; technology integration; gender differences; teacher professional development; teacher workload; demographic factors; Qatar
- Temas
- Formação de Professores de Matemática
- DOI
- 10.29333/ejmste/14467
- ISSN
- 1305-8215, 1305-8223
- Licença
- cc-by
- Acesso
- Download disponível
- Fontes
- OpenAlex
- Na Biblioteca desde
- 01/10/2026 · verificada em 03/10/2026
Como citar
ABNT
MANSOUR, Nasser; SAID, Ziad; ABU-TINEH, Abdullah Mohammad Hamdan. Factors impacting science and mathematics teachers’ competencies and self-efficacy in TPACK for PBL and STEM. Eurasia Journal of Mathematics Science and Technology Education, v. 20, n. 5, p. em2442, 2024. DOI: https://doi.org/10.29333/ejmste/14467.
APA
Mansour, N., Said, Z., & Abu-Tineh, A. M. H. (2024). Factors impacting science and mathematics teachers’ competencies and self-efficacy in TPACK for PBL and STEM. Eurasia Journal of Mathematics Science and Technology Education, 20(5), em2442. https://doi.org/10.29333/ejmste/14467
BibTeX
@article{mansour2024,
author = {Mansour, Nasser and Said, Ziad and Abu-Tineh, Abdullah Mohammad Hamdan},
title = {Factors impacting science and mathematics teachers’ competencies and self-efficacy in TPACK for PBL and STEM},
year = {2024},
journal = {Eurasia Journal of Mathematics Science and Technology Education},
volume = {20},
number = {5},
pages = {em2442},
publisher = {Modestum Limited},
doi = {10.29333/ejmste/14467},
language = {en}
}RIS
TY - JOUR AU - Mansour, Nasser AU - Said, Ziad AU - Abu-Tineh, Abdullah Mohammad Hamdan TI - Factors impacting science and mathematics teachers’ competencies and self-efficacy in TPACK for PBL and STEM PY - 2024 JO - Eurasia Journal of Mathematics Science and Technology Education VL - 20 IS - 5 SP - em2442 DO - 10.29333/ejmste/14467 LA - en ER -
Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS
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