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Analysis of a COVID-19 Clinical Trial to Emphasize Experimental Design and Quantitative Reasoning in an Introductory Biology Course.

ABSTRACT: Increasing student exposure to primary literature in early biology coursework can enhance scientific literacy and quantitative reasoning skills. The efficacy of primary literature discussion is heavily impacted by article selection, as student engagement is optimal with material that is topical and has clear relevance to real world issues. During the COVID-19 pandemic, the prevalence of COVID-19-related scientific research in the mainstream media makes it an ideal topic for current discussion in entry-level biology courses. Here, we present an activity developed to facilitate a remote, synchronous discussion of an open access clinical trial publication on the experimental drug remdesivir in the treatment of COVID-19 (Beigel et al., 2020, N Engl J Med https://doi.org/10.1056/nejmoa2007764). The activity, which is amenable to adaptation for other research articles, emphasizes concepts in experimental design, statistical analysis, graphical interpretation, and the structure, content, and organization of typical sections of a primary research article. Importantly, the activity highlights the utility of the classroom response tool Pear Deck, a Google Slides add-on, for creating engaging literature discussions that can be readily adapted to a wide variety of teaching modalities.

SUBMITTER: Grosser MR

PROVIDER: S-EPMC8012038 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Integrating quantitative thinking into an introductory biology course improves students' mathematical reasoning in biological contexts.

Project description:Recent calls for improving undergraduate biology education have emphasized the importance of students learning to apply quantitative skills to biological problems. Motivated by students' apparent inability to transfer their existing quantitative skills to biological contexts, we designed and taught an introductory molecular and cell biology course in which we integrated application of prerequisite mathematical skills with biology content and reasoning throughout all aspects of the course. In this paper, we describe the principles of our course design and present illustrative examples of course materials integrating mathematics and biology. We also designed an outcome assessment made up of items testing students' understanding of biology concepts and their ability to apply mathematical skills in biological contexts and administered it as a pre/postcourse test to students in the experimental section and other sections of the same course. Precourse results confirmed students' inability to spontaneously transfer their prerequisite mathematics skills to biological problems. Pre/postcourse outcome assessment comparisons showed that, compared with students in other sections, students in the experimental section made greater gains on integrated math/biology items. They also made comparable gains on biology items, indicating that integrating quantitative skills into an introductory biology course does not have a deleterious effect on students' biology learning.

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Nationally endorsed learning objectives to improve course design in introductory biology.

Project description:Introductory biology for majors is one of the most consequential courses in STEM, with annual enrollments of several hundred thousand students in the United States alone. To support increased student success and meet current and projected needs for qualified STEM professionals, it will be crucial to redesign majors biology by using explicit learning objectives (LOs) that can be aligned with assessments and active learning exercises. When a course is designed in this way, students have opportunities for the practice and support they need to learn, and instructors can collect the evidence they need to evaluate whether students have mastered key concepts and skills. Following an iterative process of review, revision, and evaluation, which included input from over 800 biology instructors around the country, we produced a nationally endorsed set of lesson-level LOs for a year-long introductory biology for major's course. These LOs are granular enough to support individual class sessions and provide instructors with a framework for course design that is directly connected to the broad themes in Vision and Change and the general statements in the BioCore and BioSkills Guides. Instructors can implement backward course design by aligning these community endorsed LOs with daily and weekly learning activities and with formative and summative assessments.

| S-EPMC11326583 | biostudies-literature

Incorporating an Interactive Statistics Workshop into an Introductory Biology Course-Based Undergraduate Research Experience (CURE) Enhances Students' Statistical Reasoning and Quantitative Literacy Skills.

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Development of a Tool to Assess Interrelated Experimental Design in Introductory Biology.

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| S-EPMC5132367 | biostudies-literature

Fostering 21st-Century Evolutionary Reasoning: Teaching Tree Thinking to Introductory Biology Students.

Project description:The ability to interpret and reason from Tree of Life (ToL) diagrams has become a vital component of science literacy in the 21st century. This article reports on the effectiveness of a research-based curriculum, including an instructional booklet, laboratory, and lectures, to teach the fundamentals of such tree thinking in an introductory biology class for science majors. We present the results of a study involving 117 undergraduates who received either our new research-based tree-thinking curriculum or business-as-usual instruction. We found greater gains in tree-thinking abilities for the experimental instruction group than for the business-as-usual group, as measured by performance on our novel assessment instrument. This was a medium size effect. These gains were observed on an unannounced test that was administered ?5-6 weeks after the primary instruction in tree thinking. The nature of students' postinstruction difficulties with tree thinking suggests that the critical underlying concept for acquiring expert-level competence in this area is understanding that any specific phylogenetic tree is a subset of the complete, unimaginably large ToL.

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Measuring and Advancing Experimental Design Ability in an Introductory Course without Altering Existing Lab Curriculum.

Project description:Introductory biology courses provide an important opportunity to prepare students for future courses, yet existing cookbook labs, although important in their own way, fail to provide many of the advantages of semester-long research experiences. Engaging, authentic research experiences aid biology students in meeting many learning goals. Therefore, overlaying a research experience onto the existing lab structure allows faculty to overcome barriers involving curricular change. Here we propose a working model for this overlay design in an introductory biology course and detail a means to conduct this lab with minimal increases in student and faculty workloads. Furthermore, we conducted exploratory factor analysis of the Experimental Design Ability Test (EDAT) and uncovered two latent factors which provide valid means to assess this overlay model's ability to increase advanced experimental design abilities. In a pre-test/post-test design, we demonstrate significant increases in both basic and advanced experimental design abilities in an experimental and comparison group. We measured significantly higher gains in advanced experimental design understanding in students in the experimental group. We believe this overlay model and EDAT factor analysis contribute a novel means to conduct and assess the effectiveness of authentic research experiences in an introductory course without major changes to the course curriculum and with minimal increases in faculty and student workloads.

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Project description:Four laboratory modules were designed for introductory biology students to explore the field of metagenomics. Students collected microbes from environmental samples, extracted the DNA, and amplified 16S rRNA gene sequences using polymerase chain reaction (PCR). Students designed functional metagenomics screens to determine and compare antibiotic resistance profiles among the samples. Bioinformatics tools were used to generate and interpret phylogenetic trees and identify homologous genes. A pretest and posttest were used to assess learning gains, and the results indicated that these modules increased student performance by an average of 22%. Here we describe ways to engage students in metagenomics-related research and provide readers with ideas for how they can start developing metagenomics exercises for their own classrooms.

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