提升本科生“统计计算”课程学习的自我效能感的教学探索  

Teaching Explorations on Improving the Self-efficacy of Undergraduates in Learning Computational Statistics

作　　者：孙佳楠[1] Sun Jia-nan(College of Science, Beijing Forestry University,Beijing 100083, China)

机构地区：[1]北京林业大学理学院,北京100083

出　　处：《大学数学》2020年第2期59-65,共7页College Mathematics

基　　金：北京林业大学教育教学研究项目(BJFU2018JY096);国家自然科学基金青年基金(11701029)。

摘　　要：通过对数学与应用数学专业的本科生课程“统计计算”的教学实践与探索,认为教师在课堂对教学的关键知识点借助R语言进行直观化演示,对内容难点采用一体化上机实验教学,对实际案例组织研讨式互动教学,并重视一题多解的课堂训练,有助于提升学生的学习兴趣、夯实其学习基础、增强其学习的自我效能感,从而全面提升本课程的教学效果.Computational Statistics(CS)is a popular undergraduate course closely associated with the courses such as Probability Theory and Mathematical Statistics as well as Data Science.It is necessary to investigate how to improve the teaching effectiveness of the course by conducting a study.This paper illustrates the detailed teaching activities for the course and demonstrates that the learning interest and self-efficacy of the undergraduates attending the course can be dramatically enhanced by the visual presentation of the essential theoretical elements via the R language and the multiple-solution training in the classroom.Furthermore,both the integrated computer experimental teaching for dozens of teaching difficulties and the seminar interactive teaching for random system simulation comprehensively benefit the undergraduates for grasping the essential methodology and skills in the course,which potentially promote their flexible application of the CS knowledge in practice.

关 键 词：统计计算 统计模拟 R语言 自我效能感 上机实验教学 研讨式互动教学 

分 类 号：O212.2[理学—概率论与数理统计]