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Predicting Factors Influencing Preservice Teachers’ Behavior Intention in the Implementation of STEM Education Using Partial Least Squares Approach

Author

Listed:
  • Tommy Tanu Wijaya

    (School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China)

  • Peijie Jiang

    (School of Mathematics and Statistics, Hunan Normal University, Changsha 410081, China)

  • Mailizar Mailizar

    (Mathematics Education Department, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia)

  • Akhmad Habibi

    (Fakultas Keguruan dan Ilmu Pendidikan, Universitas Jambi, Jambi 36122, Indonesia)

Abstract

The integration of STEM education has been promoted to improve the quality of education in the 21st century, with its usage leading to emphasis on the factors influencing the intentions of preservice teachers. Therefore, this study aims to determine the factors influencing preservice teachers’ intentions, as well as the effects of gender and age on the implementation of STEM education. The Theory of Planned Behavior (TPB) was adopted to predict the relationship between knowledge, social influence, attitude, perceived usefulness, control, and behavioral intention (BI) of using STEM education among preservice secondary school teachers. A total of 30 item questionnaires on behavioral intentions were distributed to 201 respondents, with data being analyzed using the Structural Equation Model (SEM). The results showed that perceived usefulness had a positive significance, and a relationship with the attitudes of preservice teachers toward STEM education. Habit had a positive significance in influencing teachers’ behavioral intentions and implementation. Subjective norms did not have a significant correlation with BI and implementation. These results are recommended for providing solutions to analytical problems, and to successfully improve future learning through an educational approach.

Suggested Citation

  • Tommy Tanu Wijaya & Peijie Jiang & Mailizar Mailizar & Akhmad Habibi, 2022. "Predicting Factors Influencing Preservice Teachers’ Behavior Intention in the Implementation of STEM Education Using Partial Least Squares Approach," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:9925-:d:885673
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    References listed on IDEAS

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    Cited by:

    1. Alka Pandita & Ravi Kiran, 2023. "The Technology Interface and Student Engagement Are Significant Stimuli in Sustainable Student Satisfaction," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    2. Tommy Tanu Wijaya & Boran Yu & Fei Xu & Zhiqiang Yuan & Mailizar Mailizar, 2023. "Analysis of Factors Affecting Academic Performance of Mathematics Education Doctoral Students: A Structural Equation Modeling Approach," IJERPH, MDPI, vol. 20(5), pages 1-23, March.
    3. Jeng-Chieh Cheng & Jeen-Fong Li & Chi-Yo Huang, 2023. "Enablers for Adopting Restriction of Hazardous Substances Directives by Electronic Manufacturing Service Providers," Sustainability, MDPI, vol. 15(16), pages 1-45, August.
    4. Tommy Tanu Wijaya & Imam Fitri Rahmadi & Siti Chotimah & Jailani Jailani & Dhoriva Urwatul Wutsqa, 2022. "A Case Study of Factors That Affect Secondary School Mathematics Achievement: Teacher-Parent Support, Stress Levels, and Students’ Well-Being," IJERPH, MDPI, vol. 19(23), pages 1-19, December.

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