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Published March 31, 2021 | Published
Journal Article Open

Student Annotations of Published Data as a Collaboration between an Online Laboratory Course and the C. elegans Database, WormBase

Abstract

Course-based undergraduate research experiences (CUREs) provide the same benefits as individual, mentored faculty research while expanding the availability of research opportunities. One important aspect of CUREs is students' engagement in collaboration. The shift to online learning during the COVID-19 pandemic created an immediate need for meaningful, collaborative experiences in CUREs. We developed a partnership with the Caenorhabditis elegans (C. elegans) database, WormBase, in which students submitted annotations of published manuscripts to the website. Due to the stress on students during this time of crisis, qualitative data were collected in lieu of quantitative pre- and postanalyses. Most students reported on cognitive processes that represent mid-level Bloom's categories. By partnering with WormBase, students gained insight into the scientific community and contributed as community members. We describe possible modifications for future courses, potential expansion of the WormBase collaboration, and future directions for quantitative analysis.

Additional Information

© 2021 Author(s). Published by the American Society for Microbiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-NoDerivatives 4.0 International license (https://creativecommons.org/licenses/by-nc-nd/4.0/ and https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode), which grants the public the nonexclusive right to copy, distribute, or display the published work. Received: 30 September 2020, Accepted: 8 November 2020, Published: 31 March 2021. We thank Ben Wiggins and Kelly Hennessey for their critical reading of this manuscript. This teaching and research took place in the homelands of the Lummi Nation, the Nooksack Tribe, the Kizh Nation, and their ancestors. This material is based upon work supported by the National Science Foundation under grant no. 1612252. The authors have no conflicts of interest to declare.

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Created:
August 20, 2023
Modified:
October 23, 2023