Author(s)

Jia Guo ¹, Jiayi Li ¹, Jiayi Zhang ¹, Qi Wang ¹, Siyu Li ¹

Affiliation(s)

¹ School Mathematical Sciences and Applications, Nanjing Normal University Taizhou College, Taizhou, Jiangsu, China

Corresponding Author

Jia Guo

ABSTRACT

To improve the scientific and practical evaluation of ideological and political education in mathematics courses at applied undergraduate universities, this paper constructs a systematic evaluation system for ideological and political education demonstration courses based on a fuzzy comprehensive evaluation model. By constructing a multi-level indicator system and introducing expert weighting and membership functions, this system achieves a quantitative evaluation of the teaching process and educational outcomes. The model is applied and analyzed using empirical data from courses such as "Advanced Mathematics" at a certain university. The results demonstrate that the model has good accuracy and adaptability in identifying the effectiveness of ideological and political education in courses and distinguishing between different teachers' teaching performances. This model can provide theoretical support and practical reference for the evaluation and improvement of ideological and political education in universities.

KEYWORDS

Fuzzy Comprehensive Evaluation, Ideological and Political Education, Curriculum Assessment, Mathematics Teaching, Applied Undergraduate Education

CITE THIS PAPER

Jia Guo, Jiayi Li, Jiayi Zhang, Qi Wang, Siyu Li, A Fuzzy Comprehensive Evaluation Model for Ideological and Political Education in Mathematics Courses of Applied Undergraduate Institutions. Advances in Educational Technology and Psychology (2025) Vol. 9: 103-111. DOI: http://dx.doi.org/10.23977/aetp.2025.090416.

REFERENCES

[1] F. Wu and L. Fan, "A study on the innovative design of the blue jiaxie pattern integrating extension semantics and fuzzy comprehensive evaluation," Results Eng., vol. 27, p. 105989, Sep. 2025, doi: 10.1016/j.rineng.2025.105989.
[2] Y. Zhou, S. Zou, M. Liwang, Y. Sun, and W. Ni, "A teaching quality evaluation framework for blended classroom modes with multi-domain heterogeneous data integration," Expert Syst. Appl., vol. 289, p. 127884, Sep. 2025, doi: 10.1016/j.eswa.2025.127884.
[3] M. Ďurišová, A. Kucharčíková, and E. Tokarčíková, "Assessment of higher education teaching outcomes (quality of higher education)," Int. Conf. New Horiz. Educ. INTE 2014 25-27 June 2014 Paris Fr., vol. 174, pp. 2497–2502, Feb. 2015, doi: 10.1016/j.sbspro.2015.01.922.
[4] Y. Gao, "Deep learning-based strategies for evaluating and enhancing university teaching quality," Comput. Educ.: Artif. Intell., vol. 8, p. 100362, Jun. 2025, doi: 10.1016/j.caeai.2025.100362.
[5] A. M. Alshamrani, E. K. Zavadskas, P. Rani, J. Antucheviciene, and A. F. Alrasheedi, "Evaluation and prioritization of software packages for remote education assistance using picture fuzzy comprehensive distance-based ranking approach," Appl. Soft Comput., vol. 182, p. 113606, Oct. 2025, doi: 10.1016/j.asoc.2025.113606.
[6] P. Youngs, J. Miller, K. Evert, D. Anagnostopoulos, and C. Drake, "How beginning elementary teachers’ mathematics instructional quality is associated with similarities between student teaching and first-year teaching assignments," Teach. Teach. Educ., vol. 165, p. 105129, Oct. 2025, doi: 10.1016/j.tate.2025.105129.
[7] J. Chen, “Impacts of internet literacy and internet contact on the communication effect of university students' ideological and political education in China," Acta Psychol. (Amst.), vol. 247, p. 104321, Jul. 2024, doi: 10.1016/j.actpsy.2024.104321.
[8] S. Lindqvist, "Integrating interprofessional education in health and social care curricula to equip our future workforce – qualitative findings from senior leaders," Soc. Sci. Humanit. Open, vol. 12, p. 101734, Jan. 2025, doi: 10.1016/j.ssaho.2025.101734.
[9] F. Ukobizaba, J. F. Maniraho, and A. Uworwabayeho, "Issues in teaching mathematics due to switching to english as a medium of instruction within primary schools of Rwanda," J. Math. Behav., vol. 80, p. 101270, Dec. 2025, doi: 10.1016/j.jmathb.2025.101270.
[10] W. Yongliang, "Organic integration of ideological and political education and entrepreneurship education based on artificial neural network," Learn. Motiv., vol. 84, p. 101933, Nov. 2023, doi: 10.1016/j.lmot.2023.101933.
[11] C. Zhao and J. Yu, "Relationship between teacher's ability model and students' behavior based on emotion-behavior relevance theory and artificial intelligence technology under the background of curriculum ideological and political education," Learn. Motiv., vol. 88, p. 102040, Nov. 2024, doi: 10.1016/j.lmot.2024.102040.
[12] D. Yang, B. Gao, S. Wang, and H. Xiang, "Robustness test for fouling state identification of homogeneous pressure electrodes based on confidence ellipsoids," IEICE Electron. Express, 2025, doi: 10.1587/elex.22.20240283.
[13] T. Gao, "Software engineering teaching quality assessment system based on dempster's formula and hierarchical analysis method," Syst. Soft Comput., vol. 7, p. 200341, Dec. 2025, doi: 10.1016/j.sasc.2025.200341.
[14] T. Zachariades, C. Sakonidis, and S. Zoitsakos, "The impact of advanced mathematics in teaching school mathematics through secondary teachers' reflections on students' reasoning," J. Math. Behav., vol. 80, p. 101277, Dec. 2025, doi: 10.1016/j.jmathb.2025.101277.
[15] P. Beuchel, J. Groß Ophoff, and C. Cramer, "Thin slices of teaching behavior: video observation as complement to the assessment of teaching quality and teacher training interventions," Stud. Educ. Eval., vol. 86, p. 101486, Sep. 2025, doi: 10.1016/j.stueduc.2025.101486.

Sponsors, Associates, and Links

---

• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education
  
  
• Adult and Higher Education