大数据时代数据分析课程教学质量实时控制策略--基于重抽样技术的课程作业方案  

Control Strategy of Data Analysis Course Quality in the Era of Big Data:Course Assignment Scheme Based on Resampling Technology

作　　者：黄恒君 任丽鑫 HUANG Hengjun;REN Lixin(Dept.of Statistics,Lanzhou University of Finance and Economics,Lanzhou 730020,China;Dean's Office,Lanzhou University of Finance and Economics,Lanzhou 730020,China;Dept.of Marxism,Lanzhou University of Finance and Economics,Lanzhou 730020,China)

机构地区：[1]兰州财经大学统计学院,甘肃兰州730020 [2]兰州财经大学教务处,甘肃兰州730020 [3]兰州财经大学马克思主义学院,甘肃兰州730020

出　　处：《兰州工业学院学报》2022年第1期128-134,共7页Journal of Lanzhou Institute of Technology

基　　金：2020年大学生就业创业能力提升工程项目。

摘　　要：大数据时代,数据分析能力成为财经类应用型人才的必备技能。在数据分析的实验实践教学过程中,对学生的学习进行全程有效质量控制存在困难。为此,针对数据分析类课程,以课程作业为切入点,设计一种教学质量控制解决方案,并作为“全流程统计分析虚拟仿真实验平台”的一部分:通过随机化回答技术调查,依据学生在数据分析类课程的作业及学习行为特点,设计基于重抽样技术的课程作业系统,以低成本实现差异化作业,进而实现全程教学质量控制。教学实验表明,该随机作业系统具有良好的实施效果,也具备广泛的其他教学用途。The skills of data analysis are becoming more necessary in the era of big data.However,it is difficult to check students'learning effectively in real time manner.In the course of data analysis,we design a solution for controlling teaching quality,and as a part of the whole process statistical analysis virtual simulation experiment platform.Using randomized response technique,and according to the characteristics of students'homework and learning behavior in data analysis courses,a resampling technique based coursework system was proposed for achieving the goal of task differentiation with low cost in the learning process,and for achieving the goal of quality control in the whole process of teaching.The practices show that our solution has a good effect and has a wide range of use for other teaching purposes.

关 键 词：全面质量管理 统计教育 重抽样 随机化回答技术 大数据 

分 类 号：G642[文化科学—高等教育学]