9 research outputs found

    A course-based research experience: how benefits change with increased investment in instructional time

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    There is widespread agreement that science, technology, engineering, and mathematics programs should provide undergraduates with research experience. Practical issues and limited resources, however, make this a challenge. We have developed a bioinformatics project that provides a course-based research experience for students at a diverse group of schools and offers the opportunity to tailor this experience to local curriculum and institution-specific student needs. We assessed both attitude and knowledge gains, looking for insights into how students respond given this wide range of curricular and institutional variables. While different approaches all appear to result in learning gains, we find that a significant investment of course time is required to enable students to show gains commensurate to a summer research experience. An alumni survey revealed that time spent on a research project is also a significant factor in the value former students assign to the experience one or more years later. We conclude: 1) implementation of a bioinformatics project within the biology curriculum provides a mechanism for successfully engaging large numbers of students in undergraduate research; 2) benefits to students are achievable at a wide variety of academic institutions; and 3) successful implementation of course-based research experiences requires significant investment of instructional time for students to gain full benefit

    The GEP: Crowd-Sourcing Big Data Analysis with Undergraduates

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    The era of \u27big data\u27 is also the era of abundant data, creating new opportunities for student-scientist research partnerships. By coordinating undergraduate efforts, the Genomics Education Partnership produces high-quality annotated data sets and analyses that could not be generated otherwise, leading to scientific publications while providing many students with research experience. Keywords: CURE (course-based undergraduate research experience); bioinformatics; crowd-sourcing science; science education; undergraduate research

    Riboflavin Riboswitch Regulation:Hands-On Learning about the Role of RNA Structures in the Control of Gene Expression in Bacteria

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    American Society for Microbiology (ASM) Curriculum Guidelines highlight the importance of instruction about informational flow in organisms, including regulation of gene expression. However, foundational central dogma concepts and more advanced gene regulatory mechanisms are challenging for undergraduate biology students. To increase student comprehension of these principles, we designed an activity for upper-level biology students centered on construction and analysis of physical models of bacterial riboswitches. Students manipulate an inexpensive bag of supplies (beads, pipe cleaners) to model two conformations of a riboswitch in a bacterial transcript. After initial pilot testing, we implemented the activity in three upper-level classes at one research-intensive and two primarily undergraduate institutions. To assess student perceptions of learning gains, we utilized a pre/post-activity 5-point Likert-type survey instrument to characterize student perceptions of confidence in both their understanding of riboswitches and their ability to apply the central dogma to riboswitches. Median post-test ranks were significantly higher than median pre-test ranks (p < 0.0001) when compared by the Wilcoxon signed-rank test (n = 31). Next, we assessed post-activity knowledge via use of a rubric to score student responses on exam questions. More than 80% of students could correctly describe and diagram examples of riboswitches; data from initial iterations were used to enhance curriculum materials for subsequent implementations. We conclude that this riboswitch activity leads to both student-reported increases in confidence in the ASM curriculum dimension of gene regulation, including central dogma concepts, and demonstrated student ability to diagram riboswitches, predict outcomes of riboswitches, and connect riboswitches to evolutionary roles
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