Abstract
This study aimed to develop and validate the secondary mathematics teachers’ technological pedagogical and content knowledge (TPACK) scale (SMTTS) to assess the knowledge domains of TPACK framework among secondary mathematics teachers in China. SMTTS was designed to be subject-oriented and culturally relevant, addressing the specific needs and context of mathematics education in China. Data were collected using a web-based questionnaire from secondary mathematics teachers in Chongqing Jiulongpo District. Exploratory and confirmatory factor analyses were conducted to assess the reliability and validity of the scale. The findings demonstrated that SMTTS exhibited strong reliability and validity, supporting its use as a robust measurement tool for assessing secondary mathematics teachers’ TPACK. The scale demonstrated good psychometric properties, including satisfactory factor loadings, internal consistency, and model fit indices. The development of SMTTS contributes to the field by providing a precise and reliable instrument that can inform the design of targeted professional development programs and guide policy decisions regarding technology integration in mathematics education. This study has theoretical and practical implications. SMTTS addresses the need for a subject-specific and culturally relevant assessment tool for measuring TPACK in mathematics education. It acknowledges mathematics teachers’ unique challenges in integrating digital technologies into their instructional practices. The scale’s development and validation process incorporated considerations of the Chinese educational context, enhancing its relevance for practitioners and researchers in China. SMTTS can facilitate the identification of areas for improvement in teachers’ TPACK and guide the implementation of tailored interventions and support initiatives.
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 19, Issue 11, November 2023, Article No: em2350
https://doi.org/10.29333/ejmste/13671
Publication date: 01 Nov 2023
Online publication date: 11 Sep 2023
Article Views: 2311
Article Downloads: 1395
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