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26 July 2025

Research on the Continuous Improvement of Curriculum Teaching Mode

Wenli Bao1 Fei Xu2
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1 School of Economics and Management, Liaoning University of Science and Technology, Benxi 117004, Liaoning, China
2 School of Humanities and Law, Benxi Open University, Benxi 117000, Liaoning, China
CEF 2025 , 3(6), 114–119; https://doi.org/10.18063/CEF.v3i6.707
© 2025 by the Author. Licensee Whioce Publishing, Singapore. 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

Taking the Statistics course as the research object, this paper addresses the pain points in the traditional teaching mode, such as students' insufficient ability to apply knowledge, lack of innovative ability, weak grasp of basic knowledge, and limited effectiveness of ideological and political education in the curriculum. It proposes and implements a set of continuously improved teaching modes. The research confirms that the curriculum objectives can be effectively achieved through the support of information-based tools, process-based early warning, personalized guidance, and the integration of competitions and teaching. This paper demonstrates how to realize the feedback of scientific research to teaching, continuously optimize the teaching mode, and constantly improve the teaching quality, providing a replicable practical path for the reform of the Statistics course.

Keywords
Statistics
Teaching Mode
Continuous Improvement
Funding
This paper is a phased research achievement of the following projects:​ 1. Teaching and Research Project of Liaoning University of Science and Technology: "Research on AI-Enabled Undergraduate Education and Teaching Reform Path Based on the 2. Needs of Liaoning's Revitalization and Development (Project No.: LKJY202510)";​ Teaching Reform Project of Liaoning University of Science and Technology: "Research and Practice on the Evaluation of Digital Talents in Application-Oriented Universities (Project No.: LNKJ202412)";​ 3. Project of Liaoning Provincial Federation of Social Sciences: "Research on the Key Elements and Practical Paths of Educational Digital Transformation (Project No.: 2025lslybkt-050)".
References

[1] Yuan W, 2022, Statistics (5th Edition). Higher Education Press.

[2] Lyle S, 2003, Translated by Wei Meijin. Competency Assessment Method. Shantou University Press, Guangdong.

[3] Don H, 2001, Translated by Yu Wenzhao, et al. Organizational Behavior. East China Normal University Press.

[4] Wu S, 2018, SPSS Practice and Statistical Thinking. Tsinghua University Press.

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