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Frontiers in Educational Research, 2023, 6(24); doi: 10.25236/FER.2023.062404.

Evaluation and Optimization of Compulsory Education Policy Based on PMC-AE Index Model

Author(s)

Lan Xu, Yingyi Zhou

Corresponding Author:
Lan Xu
Affiliation(s)

School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, 212003, China

Abstract

Issues such as whether the formation of compulsory education policies is acceptable, and whether the function and effect of high-quality compulsory education development are substantial are key foundations for future policymaking. Combining text mining, content analysis and other methods, this research employs the PMC-AE index model to quantitatively evaluate the content of 60 representative compulsory education policy texts released by various provinces in China from 2005 to 2022, so as to provide a foundation for the formulation, adjustment, and improvement of compulsory education policies. It is found that policy samples from Jiangsu, Beijing, and Shanghai score higher, whereas policy samples from Jilin, Chongqing, and Heilongjiang score relatively lower. Compulsory education policies can be improved from aspects such as policy audiences, policy priorities, policy functions, and incentive-constraint.

Keywords

compulsory education; policy evaluation; PMC-AE index model

Cite This Paper

Lan Xu, Yingyi Zhou. Evaluation and Optimization of Compulsory Education Policy Based on PMC-AE Index Model. Frontiers in Educational Research (2023) Vol. 6, Issue 24: 18-27. https://doi.org/10.25236/FER.2023.062404.

References

[1] Poland-O F. (1974). Program Evaluation and Administrative Theory. Public Administration Review, 34(4): 333.

[2] Suchman Edward. (1968). Evaluative Research: Principles and Practice in Public Service and Social Action Progr. Russell Sage Foundation.

[3] Guo, P. B., Shi, T., Wu, Q. L. (2021). Quantitative Analysis of the Hierarchical Characteristics of Photovoltaic Industry Innovation Policy Based on R language Theme Model. Science & Technology Progress and Policy, 38(02): 128-136.

[4] Wu, W. H., Sheng, L. Y., Tang, F. C. and Zhang, A. M. (2020). Quantitative evaluation of manufacturing innovation policy based on feature analysis. Studies in Science of Science, 38(12): 2246-2257. https://doi.org/10.16192/j.cnki.1003-2053.2020.12.015

[5] He, J., Yan, S. M., Tan, Z. D. (2020). Text Measurement and Effectiveness Evaluation on the Talent Policy of “the War for Talent”: A Perspective Based on Enterprise Using Policy. Science of Science and Management of S.& T., 41(12): 52-70.

[6] Cai, Q., Wei, G. W., Huang, J., Xia, H. (2022). Evaluation on R&D Incentive Policies of Renewable Energy Power Generation Based on Social Welfare. Chinese Journal of Management Science, 30(01): 206-221. https://doi.org/10.16381/j.cnki.issn1003-207x.2019.1510

[7] Wang, T., Si, X. H. (2020). The Evolution and Development of China's Compulsory Education Policy in the Past 70 Years. Modern Education Management, (06): 34-40. https://doi.org/10.16697/j.1674-5485.2020.06.006

[8] Zhang, K. 2020. The Game between Efficiency and Fairness: The Change of Compulsory Education Policy in China in the Past 70 Years. Education and Teaching Research, 34(06): 25-38. https://doi.org/ 10.13627/j.cnki.cdjy.2020.06.005

[9] He, J. X. and Zhang, Q. X. (2020). The Changing, Characteristics and Prospects of the Policy Concerning the Allocation of Teacher Resources of Compulsory Education since the Founding of the People's Republic of China. Modern Education Management, (03): 78-84. https://doi.org/10. 16697/j. 1674-5485.2020.03.012

[10] Guo, X. L., Qi, C., Luo, L. (2020). How to Construct a Framework for Assessing Influencing Factors of Compulsory Education Quality in China: International Experience and Implications from PISA 2000-2018. Journal of Comparative Education, (02): 86-95.

[11] Wang, Y. T. (2021). On the Making and Implementation of the Admission Policy Reform of the Private Schools. Education & Economy, 37(05): 58-65.

[12] Li, Y. and Li, J. Y. (2022). Social Game and Public Rationality: The Governance Logic and Approach of Synchronous Enrollment Policy between Public Compulsory Education Schools and Private Compulsory Education Schools. Journal of East China Normal University (Educational Sciences), 40(08): 115-126. https://doi.org/10.16382/j.cnki.1000-5560.2022.08.010

[13] Ma, L. C.& Jiang, F. (2021). The Deviation and Optimization of Policy Attention Allocation for the Quality and Balanced Development of Compulsory Education. Modern Education Management, (12): 29-38. https://doi.org/10.16697/j.1674-5485.2021.12.004

[14] Jia, J. and Ke, R. (2020). Free Compulsory Education Policy and Rural Human Capital Accumulation——An Empirical Analysis Based on CFPS. Education & Economy, (01): 19-30.

[15] Peng, J. and Zhao, X. L. (2021). Does Educational Policy Promote Intergenerational Education Mobility in Rural Areas? —— An Empirical Study Based on Chinese Household Survey Data. Education & Economy, 37(05): 20-31.

[16] Li, F. (2020). Value Sequence Construction of Educational Policy Planning Highlighting the "Border Characteristics”: A Tree-type Value System Based on the Delphi Method. Journal of the Chinese Society of Education, (12): 23-29.

[17] Mario-Arturo-Ruiz Estrada. (2011). Policy modeling: Definition, classification and evaluation. Journal of Policy Modeling, 33(4): 523-536. https://doi.org/10.1016/j.jpolmod.2011.02.003

[18] Wang J. F., Yang Q. Y. and Zhang, Y. Y. (2019). Quantitative Evaluation of Civil-Military Integration Policy Based on PMC-AE Index Model. Journal of Intelligence, 38(04): 66-73.

[19] Zhang Y. A., Geng, Z. (2015). The Quantitative Evaluation of Regional Science and Technology Innovation Policy: Based on the index of PMC Model. Science and Technology Management Research, 35(14): 26-31.

[20] Cheng, Q., Dong J. and Chen, Y. L. (2021). Evaluation of Original Innovation Policy under the Background of Innovative Country Strategy. Studies in Science of Science, 39(12): 2281-2293. https://doi.org/10.16192/j.cnki.1003-2053.20210525.001

[21] Zhang, Y. A., Qie, H. T. (2017). Quantitative Evaluation Innovation Policies of the State Council——based on the PMC-Index Model. Science & Technology Progress and Policy, 34(17): 127-136