北京航空航天大学学报社科版 ›› 2022, Vol. 35 ›› Issue (2): 151-158.DOI: 10.13766/j.bhsk.1008-2204.2021.1097

• 高教研究 • 上一篇    下一篇

破解博士生科研黑箱——博士生科研投入时间的探索性研究

赵世奎, 吴彬   

  1. 北京航空航天大学 人文与社会科学学院, 北京 100083
  • 收稿日期:2021-12-14 发布日期:2022-03-30
  • 作者简介:赵世奎(1974—),男,山东潍坊人,研究员,博士,研究方向为学位与研究生教育.
  • 基金资助:
    国家自然科学基金面上项目(72074015);国家自然科学基金重点项目(72134001);北京市社会科学基金(17JDJYA003)

Unveiling the “Black-Box” of Doctoral Student Research: From the Perspective of Their Time Investment in Research

ZHAO Shikui, WU Bin   

  1. School of Humanities and Social Sciences, Beihang University, Beijing 100083, China
  • Received:2021-12-14 Published:2022-03-30

摘要: 已有研究对博士生科研的中间过程和内部状态关注较少,因而形成了对博士生科研认识的黑箱。通过多元线性回归和中介分析的方法发现,与博士生培养密切相关的入学输入型变量、个体心理学变量和社会环境性变量对科研投入时间具有显著影响,并以科研投入时间为中介变量对论文产出产生影响;但科研投入时间对论文产出的影响效果较弱。这表明,科研投入时间不足以单独作为核心中介分析博士生科研过程,需要设法将科研投入时间的质与量同时纳入考量,以拓展和丰富科研投入的内涵和维度。

关键词: 博士生教育, 博士生科研, 科研投入, 投入时间, 论文产出

Abstract: Previous studies on doctoral students’ research activities paid little attention to their research processes and the internal state of research activities, thus forming a black-box in understanding their research. Through multivariate linear regression and mediation analysis, this study has found that doctoral students’ basic information upon entrance, their individual psychology and social environment, which are variables closely related to doctoral education, have a significant impact on their time investment in research, and with their time investment in research as the mediator, these variable have an impact on their research productivity, while the impact of their time investment on their research productivity is relative weak. This indicates that the time investment in research cannot be used as the core mediating variable to analyze doctoral students’ research process. In addition, both the quality and quantity of their research time should be taken into account to expand and enrich the connotations and dimensions of their research engagement.

Key words: doctoral student education, doctoral student research, research engagement, time investment, research productivity

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