基于大数据的我国高等教育自学考试命题质量提升研究  

Research on Improving the Quality of Self-taught Higher Education Examination of China Based on Big Data

作　　者：熊运莲[1] 柳艳 何怡[1] XIONG Yunlian;LIU Yan;HE Yi(College of Economy and Management,Southwest University of Science and Technology,Mianyang,Sichuan 621010;Junior High School,Yiyang No.6 Middle School,Yiyang,Hunan 413000)

机构地区：[1]西南科技大学经济管理学院,四川绵阳621010 [2]益阳市第六中学初中部,湖南益阳413000

出　　处：《绵阳师范学院学报》2023年第9期35-42,共8页Journal of Mianyang Teachers＇ College

基　　金：西南科技大学继续教育研究与发展基金项目“高等教育自学考试命题研究”(18JYF08)。

摘　　要：当前我国高等教育自学考试命题质量还存在诸多问题,针对这些主要问题,沿着“问题—原因—对策”的研究思路,可以运用大数据技术探寻提升我国高等教育自学考试命题质量的突破路径。当前我国高等教育自学考试命题还存在试卷总体设计难以匹配社会对我国高等教育自学考试人才培养的要求、命题与辅导难以分离、课程考核及成绩评价存在缺陷、保密与保证质量之间存在矛盾等问题。主要是命题管理队伍结构不够合理、命题管理和考核机制不够完善、命题教师来源分布不尽合理等原因引起的。可以通过运用大数据技术在高等教育自学考试命题中“无痕”融入课程思政理念、积极动态地推进自学考试命题管理队伍建设、加强试题保密措施、增强命题教师的责任机制等途径提升我国高等教育自学考试命题质量。In order to solve the problems in the quality of exam proposition for self-taught higher education in China,big data can be applied to explore the path of improving the quality of exam proposition for this examination.At present,there are some problems in the proposition of China's self-taught higher education examination,such as the overall design did not match the demand of talent training,proposition is not desperate from curricular training,defective course assessment and achievement evaluation and the contradiction between the secrecy and quality etc.which mainly leaded by the problems of unreasonable structure of proposition management team,imperfect proposition management and assessment mechanism,unreasonable distribution of proposition teachers and so on.Big data can be used to integrate the ideological and political ideas into the proposition which can promote the management team,strengthen the confidentiality measurements and enhance the proposition teachers'responsibility consciousness to improve the quality of China's self-taught examination proposition.

关 键 词：大数据 高等教育 自学考试 命题质量 

分 类 号：G797[文化科学—教育学]