Coordinated Distributed Experiments in Higher Education: A Low Barrier to Entry and Potential for Student Projects
Coordinated Distributed Experiments in Higher Education: A Low Barrier to Entry and Potential for Student Projects
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高等教育中的协调分布式实验:低准入门槛和学生项目的潜力
DOI:
10.1002/bes2.2101
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Mohl, Emily
中科院分区:
文献类型:
--
作者:
Koomen, Michele;Ross, Jake;Hinrichs, Emelia;Hofstede, Ellen;Grimes, Jolie;Mohl, Emily
This mixed‐methods research focused on the implementation of a coordinated distributed experiment (CDE) investigating local adaptation in common milkweed (Asclepias syriaca), a host plant for the monarch butterfly population. Faculty participants were recruited from the Ecological Research as Education Network (EREN) who recruited their former undergraduate students. Quantitative data were drawn from the Milkweed Local Adaptation (MLA) CDE database across the three project years. Qualitative data included faculty survey responses, semi‐structured interviews of faculty and former undergraduates, and review of undergraduate research posters, papers, and curricula using rubrics aligned with 4DEE and Next Generation Science Standards (NGSS) benchmarks. Analysis of the MLA CDE database illustrates a decline in both participating institutions and in counts of milkweed stems over the project (2018–2020). Qualitative data analysis revealed that CDEs: (1) offer opportunities for higher education faculty and their students to be part of research including developing skills of data collection, analysis, and interpretation; (2) have unexpected challenges; and (3) can inspire undergraduate students to develop independent research projects or curricular modules for use in formal 6–12 classrooms. Broader ecological educational implications of our outcomes for higher education faculty and their undergraduate students include: (1) recommendation that faculty members involved ought to be proactively informed about potential challenges and provided with guidance on how to mitigate them; (2) mitigating challenges with model studies to try to estimate the sample size and redundancy likely to produce robust data; and (3) proactive use of the educational network to understand institutional use of the CDE project with undergraduates.
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影响因子:
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作者:
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DOI:
--
发表时间:
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期刊:
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--
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期刊:
影响因子:
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