Abstract Undergraduate field experiences (UFEs), where students learn and sometimes live together in nature, are critical for the field-based science disciplines. The Undergraduate Field Experiences Research Network (UFERN) brings together UFE educators and researchers to improve and broaden participation in field education. Integrating research on UFEs and general STEM education and the expertise of the UFERN community, we present a model and evidence that describes the impact of intended student outcomes, student context factors, and program design factors on UFE student outcomes. The UFERN model is relevant for a diversity of UFE formats and the diverse students potentially engaged in them, and it supports the field science community to consider a range of ways students can engage with the field. The UFERN model can be applied to guide the design, implementation, and evaluation of student-centered UFEs and to guide research on the mechanisms underlying outcomes across UFE formats and disciplines.
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HITS: Harnessing a Collaborative Training Network to Create Case Studies that Integrate High-Throughput, Complex Datasets into Curricula
As educators and researchers, we often enjoy enlivening classroom discussions by including examples of cutting-edge high-throughput (HT) technologies that propelled scientific discovery and created repositories of new information. We also call for the use of evidence-based teaching practices to engage students in ways that promote equity and learning. The complex datasets produced by HT approaches can open the doors to discovery of novel genes, drugs, and regulatory networks, so students need experience with the effective design, implementation, and analysis of HT research. Nevertheless, we miss opportunities to contextualize, define, and explain the potential and limitations of HT methods. One evidence-based approach is to engage students in realistic HT case studies. HT cases immerse students with messy data, asking them to critically consider data analysis, experimental design, ethical implications, and HT technologies.The NSF HITS (High-throughput Discovery Science and Inquiry-based Case Studies for Today’s Students) Research Coordination Network in Undergraduate Biology Education seeks to improve student quantitative skills and participation in HT discovery. Researchers and instructors in the network learn about case pedagogy, HT technologies, publicly available datasets, and computational tools. Leveraging this training and interdisciplinary teamwork, HITS participants then create and implement HT cases. Our initial case collection has been used in >15 different courses at a variety of institutions engaging >600 students in HT discovery. We share here our rationale for engaging students in HT science, our HT cases, and network model to encourage other life science educators to join us and further develop and integrate HT complex datasets into curricula.
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- Award ID(s):
- 1730317
- PAR ID:
- 10339414
- Date Published:
- Journal Name:
- Frontiers in Education
- Volume:
- 6
- ISSN:
- 2504-284X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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