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Modeling Course-Based Undergraduate Research Experiences: An Agenda for Future Research and Evaluation

机译:基于课程的本科生研究经验建模:未来研究和评估的议程

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Course-based undergraduate research experiences (CUREs) are being championed as scalable ways of involving undergraduates in science research. Studies of CUREs have shown that participating students achieve many of the same outcomes as students who complete research internships. However, CUREs vary widely in their design and implementation, and aspects of CUREs that are necessary and sufficient to achieve desired student outcomes have not been elucidated. To guide future research aimed at understanding the causal mechanisms underlying CURE efficacy, we used a systems approach to generate pathway models representing hypotheses of how CURE outcomes are achieved. We started by reviewing studies of CUREs and research internships to generate a comprehensive set of outcomes of research experiences, determining the level of evidence supporting each outcome. We then used this body of research and drew from learning theory to hypothesize connections between what students do during CUREs and the outcomes that have the best empirical support. We offer these models as hypotheses for the CURE community to test, revise, elaborate, or refute. We also cite instruments that are ready to use in CURE assessment and note gaps for which instruments need to be developed.
机译:基于课程的本科生研究经验(CURE)被提倡为可扩展的方法,使本科生参与科学研究。 CURE的研究表明,参与研究的学生与完成研究实习的学生取得了许多相同的结果。但是,CURE的设计和实施方式千差万别,并且尚未阐明实现所需学生成果所必需和充分的CURE方面。为了指导旨在了解CURE疗效潜在因果机制的未来研究,我们使用了一种系统方法来生成途径模型,这些途径模型代表了如何获得CURE结果的假设。我们从审查CURE和研究实习的研究开始,以生成一组全面的研究经验结果,确定支持每个结果的证据水平。然后,我们使用了这一研究体系,并从学习理论中汲取了经验,假设学生在CURE期间所做的工作与获得最佳经验支持的结果之间存在联系。我们提供这些模型作为CURE社区进行测试,修改,阐述或反驳的假设。我们还列举了可用于CURE评估的仪器,并指出了需要开发仪器的空白。

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