摘要
电子信息类各专业核心课程甄别的目的,是为了激发教师的质量意识与竞争意识,实现并明确促进学生学习的教学目标与教学方向。文章利用教务管理信息系统大数据,应用统计学关联算法,分析以往毕业学生各课程成绩与GPA的数据,甄别出电子信息类专业的"核心"课程,为学校的教学活动发挥了导向、诊断和监督等功能。文中所研究的方法同样可以推广到其他高校和其他专业、从而为促进人才培养提供理论依据和数据支撑。
The purpose to discriminate and identify the core courses for college specialty is to inspire the teachers'awareness of quality and competition,to achieve the teaching goals and hold on the correct direction for the students'study.Based on Big data from Educational Management Information System,Statistical association algorithm is used to analyze the curriculum results and GPA of the previous graduates of electronic information specialty and the core courses are selected for this major,which can be used to guide,diagnose and supervise college teaching activity.This method can be generalized to other specialties and other universities to provide theoretical basis and data support for personnel training.
作者
钱玲
王海青
谷亚林
QIAN Ling;WANG Hai-qing;GU Ya-lin(School of Electronic and Optical Engineering,Nanjing University of Science and Technology ,Nanjing,Jiangsu 210094,China)
出处
《教育教学论坛》
2019年第15期79-81,共3页
Education And Teaching Forum
基金
江苏省高等教育教学改革研究课题"大数据驱动的电子信息类人才个性化培养体系研究"(项目编号:2017JSJG115)
[教育部产学合作协同育人项目]
"基于课程关联度分析的信号处理课群建设及课程体系改革研究"
(项目编号:201801238010)