ArticleJournal of microbiology & biology education2026
Science communication tools: rubrics for generating posters and manuscripts that are authentic to the practice of science.
Article in Journal of microbiology & biology education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
99 authors.
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Abstract
Traditional undergraduate science courses often prioritize content mastery over authentic engagement with the scientific process. Course-based research, also referred to as course-based undergraduate research experiences (CUREs), addresses this limitation by immersing students in authentic scientific practice. In course-based research, assessment practices can also mirror the authentic scientific practice, where extensive formative feedback supports refinement of skills and understanding. Here, we present two rubrics designed to support the teaching and assessment of science communication in a way that reflects how scientists prepare to disseminate their research findings. One rubric is for creating scientific posters and another for writing short-format manuscripts. Developed by approximately 100 faculty members who collaboratively implement CUREs through the Howard Hughes Medical Institute (HHMI) Science Education Alliance (SEA) program, these rubrics outline the authentic steps scientists take when preparing to communicate their research and provide performance levels that clarify expectations for both students and instructors. Together, these tools aim to further align undergraduate science education and authentic scientific practice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.