Application of Subjective and Objective Empowerment in Evaluation of ideological and political Distance Learning Online Teaching

Yu Cui; Lijuan Wang; Lemin Li

doi:10.4108/eetsis.3989

Authors

Yu Cui Teaching affairs office Jiaozuo Normal College, Jiaozuo 454000, Henan, China
Lijuan Wang Faculty of Information Engineering Jiaozuo Normal College, Jiaozuo 454000, Henan, China
Lemin Li Faculty of Foreign Language and Business Jiaozuo Normal College, Jiaozuo 454000, Henan, China

DOI:

https://doi.org/10.4108/eetsis.3989

Keywords:

distance online teaching, ideological and political education, teaching evaluation, portfolio empowerment, topological theory

Abstract

INTRODUCTION: Distance network teaching has been widely used in today's informationization era, and it also provides a new teaching mode for ideological and political education. However, evaluating the quality of ideological and political distance network teaching still needs to be solved.

OBJECTIVES: To solve the problem of subjective solid dependence in its evaluation, the hierarchical analysis method and entropy weighting method are used to calculate the subjective and objective weights, and the principle of minimum information identification is used to determine the optimal comprehensive consequences of the indicators, taking into account the absolute subjectivity and absolute objectivity brought about by the calculation method of the weights of the hands.

METHODS: Considering the incompatibility of grade determination in the evaluation results, the evaluation grade determination of Civics remote network teaching is completed through the table evaluation model, and the table evaluation model of Civics remote network teaching based on the principle of minimum information discrimination with combined weights is finally established, and the application of the model is carried out.

RESULTS: The evaluation model is simple and practical and improves the efficiency and operability of comprehensive evaluation.

CONCLUSION: Civics remote network teaching will further broaden the sharing and dissemination channels of educational resources and needs to improve the quality and effect of education continuously, and the study has a good application prospect for the evaluation of Civics remote network teaching.

References

Abdel, L. M. M. M. (2021). Coping with COVID-19-related online English teaching challenges: Teacher educators’ suggestions. ELT Journal, 1, 1. https://doi.org/10.1093/elt/ccab074

Anita Kéri. (2021). Online Teaching Methods and Student Satisfaction during a Pandemic. Language Learning, 4, 67–80.

Chih‐Hung Chung & Lin, Y. Y. (2022). Online 3D gamification for teaching a human resource development course. Journal of Computer Assisted Learning, 38(3), 692–706. https://doi.org/10.1111/jcal.12641

Cui, Q. (2023). Multimedia Teaching for Applied Linguistic Smart Education System. International Journal of Human-Computer Interaction, 77(45), 23–44. https://doi.org/10.1080/10447318.2022.2122111

David Andrés González, Gonzales, M. M., Resch, Z. J., Sullivan, A. C., & Soble, J. R. (2022). Comprehensive Evaluation of the Functional Activities Questionnaire (FAQ) and Its Reliability and Validity: Assessment, 29(4), 748–763. https://doi.org/10.1177/1073191121991215

Gke, T., Orakden, E., & Ercan Yüksel. (2021). Improvement of the polyurethane spring isolation device for HV post insulators and its evaluation by fragility curves: Earthquake Spectra, 37(3), 1677–1697. https://doi.org/10.1177/8755293020981967

Huang, F., Teo, T., & Guo, J. (2021). Understanding English teachers’ non-volitional use of online teaching during the COVID-19 pandemic: A Chinese study. System, 2, 102574. https://doi.org/10.1016/j.system.2021.102574

Khtere, A. R., & Yousef, A. M. F. (2021). The Professionalism of Online Teaching in Arab Universities: Validation of Faculty Readiness. Educational Technology & Society, 24(3), 1–12.

Kim, M. H., & Moon, I. J. (2022). Evaluation of the Reliability of Tropical Cyclone Data Using ENSO. Asia-Pacific Journal of Atmospheric Sciences, 3, 58. https://doi.org/10.1007/s13143-021-00260-3

Le, K., & Nguyen, M. (2021). Education and political engagement. International Journal of Educational Development, 85(80), 110–118. https://doi.org/10.1016/j.ijedudev.2021.102441

Lv, R., Dong, Y., Bao, Z., Zhang, S., Lin, S., & Sun, N. (2022). Advances in the activity evaluation and cellular regulation pathways of food-derived antioxidant peptides. Trends in Food Science & Technology, 122, 171–186. https://doi.org/10.1016/j.tifs.2022.02.026

Sato, K., Takeda, K., & Ma, J. F. (2021). Germplasm evaluation for crop improvement: Analysis of grain quality and cadmium accumulation in barley. Journal of Cereal Science, 101-101.

Sheppard, I. K. (2022). Subjectivities of the Scientific Endeavor: Noting the Illusion of Objectivity in the History of Science and Medicine. Medical history and medical philosophy, 001, 004.

Solazzi, L. (2022). Reliability evaluation of critical local buckling load on the thin-walled cylindrical shell made of composite material. Composite Structures, Mar., 284.

Steggerda, J. C., Gregus, S. J., Craig, J. T., Mcmillan, H., & Cavell, T. A. (2023). Network‐related teaching and changes in classroom seating. Psychology in the Schools, 36(45), 66–79. https://doi.org/10.1002/pits.22771

Sumino, T. (2021). My Country, Right or Wrong: Education, Accumulated Democratic Experience, and Political Socialization of Blind Patriotism. Political Psychology, 5(4), 45–60. https://doi.org/10.1111/pops.12723

Yuan, T. (2021). Algorithm of Classroom Teaching Quality Evaluation Based on Markov Chain. Complexity, 2021(21), 1–12. https://doi.org/10.1155/2021/9943865

Zhang, J., Xiang, S., Wu, P., Wang, D., Lu, S., Wang, S., Gong, F., Wei, X. Q., Ye, X., & Ding, P. (2022). Recent advances in performance improvement of Metal-organic Frameworks to remove antibiotics: Mechanism and evaluation. Science of The Total Environment, 811, 152351-. https://doi.org/10.1016/j.scitotenv.2021.152351

Zou, L., Gong, Y., Chen, L., Yi, X., & Liu, W. (2021). Design and evaluation of two-dimensional passive micromixers based on unbalanced convergence-divergence-splits and reverse-collisions-recombination. Chemical Engineering Science, 244, 116816-. https://doi.org/10.1016/j.ces.2021.116816