摘要
大数据时代的到来给交叉学科带来了较大的发展机遇和挑战,亟须进行研究生人才培养改革。研究以“应用随机分析”课程为例,探究了数智交叉学术性研究生培养体系中的课程创新改革的举措和成效。针对教学中存在的教学内容存在局限性、学生学习效果不佳,教学模式单一、教学活动太少,学生参与度不高等痛点问题,开展教学创新研究和实践。研究为适应新技术革命所带来的新经济业态、新生活方式、新运营模式的需要,培养数智交叉综合性人才提供课程建设方面的思考。
The arrival of the big data era has brought great development opportunities and challenges to cross disciplines,and it is urgent to carry out postgraduate talent training reform.This paper takes the course of Applied Stochastic Analysis as an example to explore in detail the measures and effects of curriculum innovation reform in the training system of interdisciplinary academic postgraduate students.Innovative research and practice are carried out aiming at the limitations of the teaching content existing in the teaching,students’low learning effect,single teaching mode,insufficient teaching activities,and students’inactive participation.The research in this paper provides some thoughts on curriculum construction to meet the needs of new economic formats,new lifestyles,and new operation models brought about by the new technological revolution,and to cultivate comprehensive talents of mathematics and intelligence.
作者
孙晓霞
SUN Xiao-xia(School of Data Science and Artificial Intelligence,Dongbei University of Finance and Economics,Dalian,Liaoning 116025,China)
出处
《教育教学论坛》
2023年第13期5-8,共4页
Education And Teaching Forum
基金
2022年度辽宁省研究生教育教学改革研究项目“大数据背景下数智交叉学术型研究生培养体系研究与实践”(LNYJG2022446)
2020年度东北财经大学研究生教育教学改革研究项目“基于混合式教学的‘应用随机分析’跨学科教学模式探讨”(yjzc202024)。
关键词
教学内容
教学模式
教学方法
教学活动
teaching content
teaching mode
teaching method
teaching activities