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Student-Led Workshops: Filling Skills Gaps in Computational Research for Life Scientists
Natural Sciences Education ; 50(1), 2021.
Article in English | ProQuest Central | ID: covidwho-1308988
ABSTRACT
Computational skills are increasingly important for conducting research in the agricultural and natural sciences. However, barriers to training availability and accessibility have left many life scientists under-prepared. To address these challenges, we developed a workshop series led by graduate students to cover topics relevant to research needs among life scientists. Our workshops incorporated guided practice to facilitate a student-centered learning environment. Further, in response to changes mandated by the COVID-19 pandemic, the workshop series was converted to a virtual format and extended to life science researchers beyond our home institution. We highlight how to effectively structure workshops to develop computational skills and adapt in-person activities to the virtual environment. Survey data shows our workshops reached a highly diverse group of scientists, representing more than eight departments, in both in-person and virtual renditions. Further, we demonstrate an increase in self-reported confidence in student abilities to apply concepts to their own research following content delivery. This increase was facilitated in both virtual and in-person environments, showing that adapting content for online delivery is capable of supporting student learning gains. The success of this workshop series shows the importance of hands-on, guided practice in developing computational skills to fill gaps in training in the agricultural and natural sciences.

Full text: Available Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: Natural Sciences Education Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: Natural Sciences Education Year: 2021 Document Type: Article