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作 者:陈锋[1] CHEN Feng(Experimental Teaching Center of Economics and Management,Zhongnan University of Economics and Law,Wuhan 430073,China)
机构地区:[1]中南财经政法大学经济管理实验教学中心,湖北武汉430073
出 处:《实验室科学》2022年第6期96-100,105,共6页Laboratory Science
基 金:2018年度湖北省高等学校省级教学研究项目(项目编号:HBSY2018-14);中南财经政法大学校级教研课题(项目编号:YB202144)。
摘 要:大数据技术对社会各行各业产生了巨大的影响,财经类行业也不例外。作为高校教师,要主动应变,将大数据技术融合到财经类专业人才的培养活动中。探讨了大数据技术对财经类专业实验教学造成的影响,表现在人才培养目标、知识体系、教学内容、实验工具、教学环境条件等方面。结合建构主义教学思想,提出了调整实验课程占比、提高教师信息素养、实验内容贴近财经行业实际,构建以学生为中心的实验教学模式、创建跨学科的实验项目和实验平台,重视教学互动和教学评价等措施,充分发挥大数据在财经类实验教学中的作用。Big data technology has a great impact on all walks of life, including economics and management. University teachers should adapt and integrate big data technology into the teaching activities of economics and management majors proactively. This paper discusses the influence of big data technology on the experimental teaching, which is manifested in the objective of cultivating practical talents, knowledge system, teaching content, experimental tools, teaching environment conditions, etc. Base on learning theory of constructivism, this paper puts forward some measures, such as adjusting the proportion of experimental courses, improving teachers’ information literacy, simulating the reality of economics and management, constructing student-centered experimental teaching mode, creating interdisciplinary experimental projects and experimental platforms, improving classroom interaction and teaching evaluation. As a result, the big data can play it’s full role in economics and management experimental teaching.
分 类 号:G642.0[文化科学—高等教育学]
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