《生物统计学》课程思政理论及实践研究——以湖北省某院校生物制药专业为例
Research on the Theory and Practice of Ideological and Political Education in the “Biostatistics” Course—Taking the Biopharmaceutical Major at a University in Hubei Province as an Example
摘要: 课程思政是落实“立德树人”根本任务的重要途径。《生物统计学》课程蕴含科学精神、数据伦理与公共责任等丰富的思政元素。本研究以《高等学校课程思政建设指导纲要》为指引,构建“知识传授–能力培养–价值引领”三位一体教学体系,通过案例驱动、项目实践等方式,提升学生统计素养与价值认同。实践表明,该教学改革能有效增强学生学习主动性、伦理意识与社会责任感,为理工科课程思政建设提供可操作的实践范式。
Abstract: This curriculum-based ideological and political education serves as a crucial pathway for implementing the fundamental mission of “moral education and talent cultivation”. The “Biostatistics” course inherently contains rich ideological and political elements, including scientific spirit, data ethics, and public responsibility. Guided by the Guidelines for Ideological and Political Education in Higher Education Curricula, this study constructs a tripartite pedagogical system integrating knowledge impartation, competency development and value orientation. Through the case-driven methods and project-based learning, the approach aims to enhance the students’ statistical literacy and value identification. The practical outcomes demonstrate that this instructional reform effectively improves the students’ learning initiative, ethical awareness and sense of the social responsibility, thereby providing an operable practical model for integrating the ideological and political education into science and engineering courses.
参考文献
|
[1]
|
教育部. 高等学校课程思政建设指导纲要[EB/OL]. http://www.moe.gov.cn/srcsite/A08/s7056/202006/t20200603_462437.html, 2020-06-01.
|
|
[2]
|
李清扬, 李智. 理学专业课程思政建设的现实困境与对策[J]. 河北农业大学学报(社会科学版), 2023, 25(3): 125-132.
|
|
[3]
|
王文侠, 李修岭, 郝继伟, 等. 课程思政融入《生物统计学》教学的探索[J]. 现代职业教育, 2022(19): 48-50.
|
|
[4]
|
付远辉, 何金生. “统计学方法选择及SPSS实现”思政内涵挖掘[J]. 教育教学论坛, 2024(5): 165-168.
|
|
[5]
|
李翔, 郭靖, 曾坚, 等. 基于综合性评价的《生物统计学》课程考核改革实践与思考——以韶关学院为例[J]. 韶关学院学报(自然科学版), 2024, 45(3): 103-108.
|
|
[6]
|
Hassad, R. (2011) Constructivist and Behaviorist Approaches: Development and Initial Evaluation of a Teaching Practice Scale for Introductory Statistics at the College Level. Numeracy, 4, Article 7. [Google Scholar] [CrossRef]
|
|
[7]
|
Hassad, R. and Iacullo, G. (2024) Promoting Reflective Learning in Big Data Analytics: Key Facets and Pedagogical Strategies. Proceedings of the Satellite conference of the International Association for Statistical Education (IASE), Toronto, 2-5 July 2023, 1-6.
|
|
[8]
|
Horton, N.J. and Hardin, J.S. (2021) Integrating Computing in the Statistics and Data Science Curriculum: Creative Structures, Novel Skills and Habits, and Ways to Teach Computational Thinking. Journal of Statistics and Data Science Education, 29, S1-S3. [Google Scholar] [CrossRef]
|
|
[9]
|
张蓼红, 冯孟潜, 丁雪梅, 等. 课程思政元素融入《生物统计学》实验教学研究[J]. 长春师范大学学报, 2021, 40(10): 135-138.
|