大数据智能优化背景下的金融教学模式创新探究

Research on the Innovation of Financial Teaching Mode under the Background of Big Data Intelligent Optimization

大数据智能优化背景下,互联网金融蓬勃发展,金融行业对大数据的价值愈发关注,对员工数据分析能力的要求不断提高,这对高校金融教学提出新要求。针对这一发展趋势,在梳理国内外部分高校相关课程设计体系新变化的基础上,提出了针对高校研究生教学的“4+2”教学团队模型和“ABA式”培养计划模型。在已有高校教育资源的基础上,应充分挖掘实验实践及数据化教学方面的师资力量;深化传统金融学经典课程与创新金融产品的融合以及泛金融教学与专业化、精细化发展的平衡,促进传统金融教学与大数据智能的结合与发展。

Under the background of big data intelligent optimization,internet finance is booming.The financial industry is paying more and more attention to the value of big data,and its requirements for employees’data analysis skills are constantly improving,which puts forward new requirements for financial teaching in universities.In view of this development trend,on the basis of combing the new changes of the relevant curriculum design system in some universities at home and abroad,the“4+2”teaching team model and the“ABA style”training plan model are put forward for graduate teaching in universities.On the basis of the existing educational resources in colleges and universities,we should make full use of the teaching resources in experimental practice and data teaching;and deepen the integration of classic traditional financial courses and innovative financial products,as well as the balance between pan-financial teaching and specialized and refined development,in order to promote the combination and development of traditional financial teaching and big data intelligence.