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Evaluating the efficiency of online course resource allocation in universities of China

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  • Zhu, Tian-Tian
  • Yang, Fei
  • Zhang, Yue-Jun

Abstract

Curriculum is the core element of talent cultivation in universities, and its quality directly determines that of the talent cultivation. However, the efficiency of online course resource allocation in universities of China is unacceptable, and the corresponding driving mechanisms are unclear. Based on the data of iCourses platform for a top university (H University) of China, this paper develops the DEA-Malmquist index and Tobit regression model to evaluate the efficiency of university online course resource allocation and explore its main influencing factors. The empirical results indicate that, first of all, humanities and social sciences outperform natural sciences in the resource allocation efficiency of online courses. Compared with non-national premium online courses, the resource investment redundancy of national premium online courses appears relatively lower. Secondly, from the perspective of temporal changes, the total factor productivity of online course resource allocation generally has a downward trend. The innovation effect of technological progress is more significant, while the catch-up effect of technical efficiency is clearly insufficient. Scale efficiency is the main factor hindering its improvement. Finally, in terms of the factors affecting the efficiency of online course resource allocation, teachers’ research guidance capability, teaching research skills, and the number of courses offered have significantly positive impact.

Suggested Citation

  • Zhu, Tian-Tian & Yang, Fei & Zhang, Yue-Jun, 2024. "Evaluating the efficiency of online course resource allocation in universities of China," Evaluation and Program Planning, Elsevier, vol. 107(C).
    • Handle: RePEc:eee:epplan:v:107:y:2024:i:c:s0149718924000831
    DOI: 10.1016/j.evalprogplan.2024.102481
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    References listed on IDEAS

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    1. Thomas, Herbert, 2018. "Powerful knowledge, technology and education in the future-focused good society," Technology in Society, Elsevier, vol. 52(C), pages 54-59.
    2. Liu, Xing & Wu, Xianhua & Zhang, Weipan, 2024. "A new DEA model and its application in performance evaluation of scientific research activities in the universities of China's double first-class initiative," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    4. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity？——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    5. Yu-Hsi Yuan & Chia-Hui Liu & Szu-Sheng Kuang, 2021. "An Innovative and Interactive Teaching Model for Cultivating Talent’s Digital Literacy in Decision Making, Sustainability, and Computational Thinking," Sustainability, MDPI, vol. 13(9), pages 1-13, May.
    6. Li, Mengling, 2020. "Ties matter: Improving efficiency in course allocation by allowing ties," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 354-384.
    7. Aradhna Krishna & M. Utku Ünver, 2008. "Research Note—Improving the Efficiency of Course Bidding at Business Schools: Field and Laboratory Studies," Marketing Science, INFORMS, vol. 27(2), pages 262-282, 03-04.
    8. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2014. "Variability of research performance across disciplines within universities in non-competitive higher education systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 777-795, February.
    9. Solmaz Ghaffarian Asl & Necdet Osam, 2021. "A Study of Teacher Performance in English for Academic Purposes Course: Evaluating Efficiency," SAGE Open, , vol. 11(4), pages 21582440211, October.
    10. Zhang, Ganggang & Wu, Jie & Zhu, Qingyuan, 2020. "Performance evaluation and enrollment quota allocation for higher education institutions in China," Evaluation and Program Planning, Elsevier, vol. 81(C).
    11. Franz Diebold & Haris Aziz & Martin Bichler & Florian Matthes & Alexander Schneider, 2014. "Course Allocation via Stable Matching," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(2), pages 97-110, April.
    12. Youtie, Jan & Shapira, Philip, 2008. "Building an innovation hub: A case study of the transformation of university roles in regional technological and economic development," Research Policy, Elsevier, vol. 37(8), pages 1188-1204, September.
    13. Tian-Tian Zhu & Yue-Jun Zhang & Ke Wang, 2018. "The allocation of PhD enrolment quotas in China’s research-oriented universities based on equity and efficiency principles," Applied Economics, Taylor & Francis Journals, vol. 50(37), pages 3992-4004, August.
    14. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    15. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    16. Chapman, S.A. & Goodman, S. & Jawitz, J. & Deacon, A., 2016. "A strategy for monitoring and evaluating massive open online courses," Evaluation and Program Planning, Elsevier, vol. 57(C), pages 55-63.
    17. Gregori, Pablo & Martínez, Vicente & Moyano-Fernández, Julio José, 2018. "Basic actions to reduce dropout rates in distance learning," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 48-52.
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