摘要
大数据时代,新文科课程建设要突出传统文科与数据科学课程相结合,以增强大学生未来的问题解决能力和专业胜任能力。课程组依据南京审计大学的学科基础和学科特点有针对性地开发了“大数据、统计与SPSS的日常应用”这一校级公选课程。该课程历经三年的教学周期,在教学准备、教学实践及教学反思等过程中凝练出了以学生为中心的线上+线下的理论+实验的混合教学模式。以知识为载体探究课前、课中、课后三个环节的知识习得情况,并不断对课程的教法、学法、考法做适应性设计,以较好地释放学生学习的主动性和创新性。
In the era of big data,the construction of new liberal arts courses should highlight the combination of traditional liberal arts and data science courses,in order to enhance the future problem-solving ability and professional competence of college students.The course team has developed a targeted university level elective course on“Daily Applications of Big Data,Statistics,and SPSS”based on the disciplinary foundation and characteristics of Nanjing Audit University.This course has gone through a three-year teaching cycle,condensing a student-centered blended teaching model of online+offline theory+experiment through teaching preparation,teaching practice,and teaching reflection.Exploring the knowledge acquisition situation in the pre class,in class,and post class stages using knowledge as a carrier,and continuously designing adaptive teaching methods,learning methods,and exam methods to better unleash students'initiative and innovation in learning.
作者
王贤梅
李庭燎
杨琴
WANG Xian-mei;LI Ting-liao;YANG Qin(Nanjing Audit University,School of Business,Nanjing 211815,Jiangsu;Nanjing Audit University,Experimental Center,Nanjing 211815,Jiangsu)
出处
《江苏商论》
2024年第6期129-133,共5页
Jiangsu Commercial Forum
基金
南京审计大学教育教学改革项目:混合教学模式对学生能力提升效果的研究(2019JG052)。
关键词
混合教学模式
新文科
自主学习
团队协作
blended learning mode
New liberal arts
Autonomous learning
Teamwork