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An importance-performance analysis of teachers’ perception of STEM engineering design education

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  • Yu-Hung Chien

    (National Taiwan Normal University)

  • Fang-Yu Chang

    (Taichung Municipal Shengang Industrial High School)

Abstract

There is an increasing worldwide trend toward the development of science, technology, engineering, and mathematics (STEM) education using engineering design (ED) practice. Considering that teachers play pivotal roles in terms of student interest in STEM subjects and careers, it is important to explore teachers’ perceptions of STEM-ED education. We analysed survey data from 184 technology teachers who participated in empowerment training (using a STEM-ED curriculum) in 2017, 2018, 2021, and 2022. We used an importance-performance analytical model to investigate the teachers’ perceptions of STEM-ED itself, its impact on students, and the challenges experienced during implementation. The results showed that various improvements were required for STEM-ED promotion and for the preparation of STEM-ED lessons. Analysis of variance revealed that the age groups taught and the number of weekly teaching hours significantly affected the teachers’ perceptions of STEM-ED. These findings will assist educational institutions worldwide in planning future education policies, designing teacher empowerment courses, and understanding teachers’ needs in efforts to improve STEM-ED.

Suggested Citation

  • Yu-Hung Chien & Fang-Yu Chang, 2023. "An importance-performance analysis of teachers’ perception of STEM engineering design education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01653-7
    DOI: 10.1057/s41599-023-01653-7
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    References listed on IDEAS

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    1. Sever, Ivan, 2015. "Importance-performance analysis: A valid management tool?," Tourism Management, Elsevier, vol. 48(C), pages 43-53.
    2. Abalo, Javier & Varela, Jesus & Manzano, Vicente, 2007. "Importance values for Importance-Performance Analysis: A formula for spreading out values derived from preference rankings," Journal of Business Research, Elsevier, vol. 60(2), pages 115-121, February.
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