ARTICLE
26 June 2026

Effective Classroom Environment of Curriculum Ideological and Political Education in Higher Vocational Mathematics: Measurement, Mechanisms, and Mediation

Huali Chen1 ,  Tianli Lei1 ,  Yi Qin2 ,  Dongping Wei1* ,  Xuezhen Liang1*
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1 Institute of Applied Mathematics, Shenzhen Polytechnic University, Shenzhen 518055, Guangdong, China
2 Beijing No.2 Middle School, Beijing 100010, China
CEF 2026 , 4(6), 102–109; https://doi.org/10.26689/CEF.v4i6.15590
© 2026 by the Author. Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

This study developed and validated a 25-item instrument, the Higher Vocational Mathematics Curriculum Ideological and Political Education (HVMCIPE) Classroom Environment Questionnaire, to assess the mathematics classroom environment and its influence on student satisfaction. Through exploratory factor analysis on 139 cleansed samples of first-year science and engineering students, the four classroom environment factors extracted from HVMCIPE show a stable structure and good psychometric qualities. Classroom Learning Climate (CLC) predicted all four satisfaction items significantly. Although Teacher-Student Interaction and Support (TSIS) did not predict satisfaction significantly, it fully mediated satisfaction through Instructional Affinity and Classroom Organization (IACO) and CLC. The implications and suggestions for future research are finally put forward.

Keywords
Classroom environment
Curriculum ideological and political education
Higher vocational institution in China
Mathematics education
Student satisfaction
References

[1] Ministry of Education, 2020, Guidelines for the Construction of Curriculum Ideological and Political Education in Higher Education Institutions, Ministry of Education. http://www.moe.gov.cn/srcsite/A08/s7056/202006/t20200603_462437.html

[2] Peters M, 2022, Foundational Mathematics Skills in Vocational Education: Challenges and Interventions. Journal of Vocational Education and Training, 2022(3): 412–428.

[3] Fraser BJ, 2012, Classroom Learning Environments: Retrospect, Context and Prospect, Second International Handbook of Science Education, Springer.

[4] Moos RH, 1974, The Social Climate Scales: An Overview, Consulting Psychologists Press.
[5] Ren Q, 2013, A Theoretical Framework for Constructing Effective College English Classroom Environments. Foreign Language Teaching and Research, 2013(5): 733–745.

[6] Yin H, Lu G, 2014, Development and Validation of an Instrument for Assessing Mathematics Classroom Environment in Tertiary Institutions. The Asia-Pacific Education Researcher, 2014(3): 665–682.

[7] Kelley TL, 1939, The Selection of Upper and Lower Groups for the Validation of Test Items. Journal of Educational Psychology, 1939(1): 17–24.

[8] Hayes AF, 2018, Introduction to Mediation, Moderation, and Conditional Process Analysis (2nd ed.), Guilford Press.

[9] Tabachnick BG, Fidell LS, 2019, Using Multivariate Statistics (7th ed.), Pearson.

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