摘要
在专业认证背景下探讨大数据机器学习课程群建设的必要性,以此为基础,进行了基于“反向设计/正向实施”理念整合课程资源、根植“学生中心”理念打造特色教学、着眼人才培养打造科学合理的评价方式等课程群建设实践,并从学生成绩和课程群目标达成度两个方面验证了机器学习课程群建设的成效。
Under the background of professional certification,this paper discusses the necessity of the construction of Big Data Machine Learning Course Group.On this basis,the construction practice of course group is carried out from four aspects:integrating course resources based on the concept of“reverse design/positive implementation”,building characteristic teaching based on the concept of“student center”,focusing on talent training and building a scientific and reasonable assessment method transformation.And the effectiveness of the construction of Machine Learning Course Group is verified from two aspects:student achievement and the achievement of course group objectives.
作者
崔嵬
Cui Wei(College of Data Science and Software Engineering,Baoding University,Baoding,Hebei 071000,China)
出处
《保定学院学报》
2022年第3期109-114,共6页
Journal of Baoding University
基金
2020年河北省教育科学研究“十三五”规划重点资助课题“专业认证背景下大数据专业统计机器学习课程群建设的研究与实践”(2002015)。
关键词
专业认证
机器学习课程群
项目化教学
教学评价
professional certification
Machine Learning Course Group
project teaching
teaching evaluation