文章摘要
崔盛,吴秋翔,潘昆峰.学生高中文理分科对大学表现及就业发展的影响研究——基于中国教育追踪调查(CEPS)的实证分析[J].教育经济评论,2017,2(4):103-122
学生高中文理分科对大学表现及就业发展的影响研究——基于中国教育追踪调查(CEPS)的实证分析
The Influence of Arts and Science Division on Students’ College Performance and Employment Development——An Empirical Analysis Based on Chinese Educational Panel Survey
  
DOI:
中文关键词: 文理分科;大学表现;就业发展;就业薪酬
英文关键词: the division of arts and science;college performance;employment development;employment wage
基金项目:中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目成果(17XNA003)。
作者单位
崔盛,吴秋翔,潘昆峰 中国人民大学教育学院 
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中文摘要:
      2014年,在中国教育体系中存在多年的文理分科被正式取消。然而,关于高中阶段采取文理分科教学、高考采取文理分科考试的利弊讨论却争议不断。诸多研究集中探讨高中期间文理分科的合理性等问题,但缺少有关文理分科对学生大学期间及未来发展影响的实证分析。论文利用中国教育追踪调查(CEPS)数据,探讨在高中阶段文理分科机制影响下,学生进入大学及劳动力市场后的差异。研究发现:文理科学生差异化的能力特点,需要通过不同方式进行评价。虽然,他们的大学学业表现没有显著差异,但文科生英语六级成绩更高、更愿意入党、担任学生干部和攻读研究生;而在就业发展方面,文理科学生选择的行业、就业单位及工作岗位存在差异,同时理科生就业起薪更高,理科生的能力可以被市场更有效地检验。
英文摘要:
      In 2014, the division of arts and science was officially cancelled in Chinese education system. However, it's a controversial topic about whether teaching in arts or science in senior high school and testing in arts or science in Gaokao. Many researches focus on the rationality of the division of arts and science in high school. However, there is a lack of empirical research about the influence of the division on the future development of university students. This paper analyzes the influence of arts and sciences division on students' college performance and employment development by using the data of Chinese Educational Panel Survey, in order to review the ability difference between arts and science students. Although there was no significant difference in their academic performance, arts students have higher College English Test-6 scores, are more willing to join the party, serve as student leaders and persue postgraduate study. In terms of employment development, there are differences in the choice of industries, employment units and jobs between arts and science students, and science students have much higher starting salary. The ability of science students can be tested more effectively by the labor market.
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