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Bibliometric Analysis on the Influencing Factors of International Courses’ Effectiveness from the Perspective of Sustainable Development Education

Author

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  • Wei Jiang

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Zonghao Wu

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Huiyuan Su

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Xiangping Zhou

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Xiaoyuan Cui

    (School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China)

Abstract

Sustainable development education is a dynamic and developing process. In recent years, the rapid development of international courses has made great contributions to sustainable development education. The effectiveness of international courses is influenced by many factors. To promote the sustainable development of education and to improve the effectiveness of international courses, this paper studied the influencing factors on international courses by using literature analysis, system dynamics analysis, questionnaire survey, and correlation analysis methods. First, based on the literature analysis, 27 factors affecting course effectiveness were initially obtained. Second, using system dynamics to study the relationship between each factor, five additional factors were added, namely, learning motivation, social focus, lesson planning, class time, and class location. A total of 32 factors influencing course effectiveness were obtained and classified into three categories, namely, students, teachers, and external factors, and a relationship model of the 32 factors influencing course effectiveness was constructed. Finally, a questionnaire survey was conducted to quantify the 32 influencing factors, and a correlation analysis was performed on all undergraduates majoring in safety engineering enrolled in 2018 and 2019 in a university in 2019 and 2020. The results show that among the 32 influencing factors in the three categories of students, teachers, and external factors proposed, there were 7 strong correlations, 22 moderate correlations, and 3 weak correlations. All of the strong correlations belonged to the student dimension, thereby indicating that the effectiveness of international online courses is mainly influenced by student factors. In addition, these influencing factors can not only impact course effectiveness directly, but also indirectly through the interaction between factors. The relationship model of the influencing factors can provide a reference for improving the effectiveness of international programs and realizing the sustainable development research for international courses.

Suggested Citation

  • Wei Jiang & Zonghao Wu & Huiyuan Su & Xiangping Zhou & Xiaoyuan Cui, 2022. "Bibliometric Analysis on the Influencing Factors of International Courses’ Effectiveness from the Perspective of Sustainable Development Education," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9542-:d:879525
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    References listed on IDEAS

    as
    1. Wei Jiang & Jiankai Zhou & Yangping Gao & Yintong Wang, 2021. "Exploring Methods of the Sustainable Development for Safety Engineering International Course," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    2. Kevin Donovan & Christopher Herrington, 2019. "Factors Affecting College Attainment and Student Ability in the U.S. since 1900," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 224-244, January.
    3. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    4. Yu-Jie Huang & Shuo Cheng & Fu-Qiang Yang & Chao Chen, 2022. "Analysis and Visualization of Research on Resilient Cities and Communities Based on VOSviewer," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
    5. Jun Xin Lee & Ahmad Hathim Ahmad Azman & Jing Yi Ng & Noor Akmal Shareela Ismail, 2022. "Deciphering Learning Motivation in Open Distance Learning towards Sustainable Medical Education," Sustainability, MDPI, vol. 14(8), pages 1-13, April.
    6. Kevin Donovan & Christopher Herrington, 2019. "Factors Affecting College Attainment and Student Ability in the U.S. since 1900," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 224-244, January.
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