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部分东亚地区研究生项目中的研究经历与指导实践:分子生物学博士生研究生产力的预测因素

Research experiences and mentoring practices in selected east Asian graduate programs: predictors of research productivity among doctoral students in molecular biology.

作者信息

Ynalvez Ruby, Garza-Gongora Claudia, Ynalvez Marcus Antonius, Hara Noriko

机构信息

From the Texas A&M International University, Department of Biology and Chemistry, Laredo, Texas.

出版信息

Biochem Mol Biol Educ. 2014 Jul-Aug;42(4):305-22. doi: 10.1002/bmb.20794. Epub 2014 Apr 1.

Abstract

Although doctoral mentors recognize the benefits of providing quality advisement and close guidance, those of sharing project management responsibilities with mentees are still not well recognized. We observed that mentees, who have the opportunity to co-manage projects, generate more written output. Here we examine the link between research productivity, doctoral mentoring practices (DMP), and doctoral research experiences (DRE) of mentees in programs in the non-West. Inspired by previous findings that early career productivity is a strong predictor of later productivity, we examine the research productivity of 210 molecular biology doctoral students in selected programs in Japan, Singapore, and Taiwan. Using principal component (PC) analysis, we derive two sets of PCs: one set from 15 DMP and another set from 16 DRE items. We model research productivity using Poisson and negative-binomial regression models with these sets as predictors. Our findings suggest a need to re-think extant practices and to allocate resources toward professional career development in training future scientists. We contend that doctoral science training must not only be an occasion for future scientists to learn scientific and technical skills, but it must also be the opportunity to experience, to acquire, and to hone research management skills.

摘要

尽管博士生导师认识到提供高质量建议和密切指导的好处,但与学生分担项目管理责任的好处仍未得到充分认可。我们观察到,有机会共同管理项目的学生能产出更多书面成果。在此,我们研究非西方地区项目中博士生的研究生产力、博士指导实践(DMP)和博士研究经历(DRE)之间的联系。受先前研究结果(早期职业生产力是后期生产力的有力预测指标)的启发,我们考察了日本、新加坡和台湾地区选定项目中210名分子生物学博士生的研究生产力。通过主成分(PC)分析,我们得出两组主成分:一组来自15个DMP项目,另一组来自16个DRE项目。我们使用泊松回归模型和负二项回归模型,将这些组作为预测变量来模拟研究生产力。我们的研究结果表明,有必要重新思考现有做法,并将资源分配到培养未来科学家的职业发展方面。我们认为,博士科学培训不仅应该是未来科学家学习科学和技术技能的时机,还必须是他们体验、获取和磨练研究管理技能的机会。

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