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Integrating Technology Roadmaps into the Construction of Learning Indicators

Author

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  • Fan-Lung Tseng

    (Department of Industrial Education and Technology, National Changhua University of Education Bao-Shan Campus, No. 2, Shi-Da Rd., Changhua City 500208, Taiwan)

  • Kai-Chao Yao

    (Department of Industrial Education and Technology, National Changhua University of Education Bao-Shan Campus, No. 2, Shi-Da Rd., Changhua City 500208, Taiwan)

  • Hsiang-Wei Chen

    (Department of Industrial Education and Technology, National Changhua University of Education Bao-Shan Campus, No. 2, Shi-Da Rd., Changhua City 500208, Taiwan)

  • Jen-Sheng Yang

    (Department of Industrial Education and Technology, National Changhua University of Education Bao-Shan Campus, No. 2, Shi-Da Rd., Changhua City 500208, Taiwan)

Abstract

In the era of rapid technological advancement and the ascent of the United Nations’ Sustainable Development Goals (SDGs), addressing the persistent gap between education and employment is crucial to ensure “decent work for all” and enhance human well-being. This study initiates its inquiry from the construction of learning indicators, aiming to facilitate the early exposure of learners to relevant industrial technologies and the acquisition of future-oriented competencies. Firstly, through a review of the literature and an analysis of the current situation, the concept of technology mapping in the industrial sector is employed for technology forecasting. This involves the development of a technology roadmap and the identification of key technologies. Subsequently, the Delphi method is utilized to invite expert scholars to assess the suitability and importance of learning indicators. Data processing is carried out using descriptive statistics, qualitative recommendations, and the Kolmogorov–Smirnov single-sample analysis. Using a smart home system practice curriculum as an example, this study’s final development includes 9 main constructs and 56 sub-constructs, serving as the foundation for curriculum and instructional material development. Upon receiving relevant instruction, students can swiftly integrate into related industries.

Suggested Citation

  • Fan-Lung Tseng & Kai-Chao Yao & Hsiang-Wei Chen & Jen-Sheng Yang, 2024. "Integrating Technology Roadmaps into the Construction of Learning Indicators," Sustainability, MDPI, vol. 16(13), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5325-:d:1420282
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    References listed on IDEAS

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    1. Chin-Wen Liao & Kai-Chao Yao & Chin-Tang Tsai & Jing-Ran Xu & Wei-Lun Huang & Wei-Sho Ho & Yu-Peng Wang, 2023. "Constructing and Validating Professional Competence Indicators for Underwater Welding Technicians for Offshore Wind Power Generation in Taiwan," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    2. Zhen Yue & Kai Zhao, 2020. "Understanding the Effectiveness of Higher Education System: Evidences from Market Outcomes of Early University Graduates in Seven European Countries," Sustainability, MDPI, vol. 12(18), pages 1-32, September.
    3. Xia, Chengqi & Li, Xinge & Cao, Shixiong, 2023. "Challenges for the government-controlled higher education system in China," International Journal of Educational Development, Elsevier, vol. 97(C).
    4. Carvalho, M.M. & Fleury, André & Lopes, Ana Paula, 2013. "An overview of the literature on technology roadmapping (TRM): Contributions and trends," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1418-1437.
    5. Cervantes, Carla Varona & Cooper, Russell, 2022. "Labor market implications of education mismatch," European Economic Review, Elsevier, vol. 148(C).
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