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    Teaching Tools and Strategies
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    A Customizable Inquiry-Based Statistics Teaching Application for Introductory Biology Students
    Building strong quantitative skills prepares undergraduate biology students for successful careers in science and medicine. While math and statistics anxiety can negatively impact student learning within biology classrooms, instructors may reduce...
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    Outside the Norm: Using Public Ecology Database Information to Teach Biostatistics
    Biology students’ understanding of statistics is incomplete due to poor integration of these two disciplines. In some cases, students fail to learn statistics at the undergraduate level due to poor student interest and cursory teaching of...
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    Gender and Classroom Participation: A Case for Quantitative Analysis
    Teaching statistics to students using authentic research is one way to highlight the transferability and value of the material taught in the class. Below we describe an activity in Statistics for Biological and Health Sciences (STAT2510), an...
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    BioVEDA Curriculum: An Approach to Link Conceptual and Quantitative Understanding of Variation During Experimental Design and Data Analysis
    When performing a biological investigation, experts constantly cycle between conceptual and quantitative modes of thinking, integrating their understanding in both worlds to make decisions about their work. This cycling and mixing of conceptual...
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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there are few that offer practical laboratory-based...
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    Learning to Pipet Correctly by Pipetting Incorrectly?
    Beginning undergraduate students in biology need basic laboratory, data analysis, and science process skills to pursue more complex questions in course-based undergraduate research experiences (CUREs). To this end, we designed an introductory...
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    Using Images of Foraging Leaf-Cutter Ants to Teach Linear Regression
    This lesson offers students a realistic, open-inquiry research experience, even when lab or field research is not possible. We first introduce students to leaf-cutter ants and how they forage. Then we provide images and videos of foraging...
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    An Interrupted Case Study on Urban Prairie Restoration
    Engaging students in meaningful discussions can be a challenging task for science instructors, especially in introductory courses. The story-telling approach used in case studies can increase student participation by demonstrating the relevance of...
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    Student-Driven Design-and-Improve Modules to Explore the Effect of Plant Bioactive Compounds in Three Model Organisms
    Engaging and supporting introductory level students in authentic research experiences during required coursework is challenging. Plant bioactive compounds attract students' natural curiosity as they are found in many familiar items such as...
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    Quantifying Uncertainty and Distinguishing Data Sets in Introductory Physics
    Physics labs are moving increasingly to open-ended experiments where students develop experimental physics skills, rather than verify textbook physics concepts. This sequence of activities sets the stage for this new kind of lab early in the...
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    Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced students
    University capstone projects can offer science students a rich research experience that illustrates the process of doing scientific research, and can also help students better choose future academic and career pathways. While capstone projects are...
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    Dynamic Daphnia: An inquiry-based research experience in ecology that teaches the scientific process to first-year biologists
    This authentic research experience lesson teaches the core concept of systems and the competencies of quantitative reasoning, communication, and the ability to apply science. The research is student driven, the results are unknown, and the...
    Teaching Tools and Strategies
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    Preparing Student Study Guides through Peer Collaboration in the Technological Era
    Incorporating active learning exercises into large lecture courses is particularly challenging, especially when it comes to examination preparation materials. Traditionally, study guides are used as a tool to guide student learning and review...
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    An Introduction to Eukaryotic Genome Analysis in Non-model Species for Undergraduates: A tutorial from the Genome Consortium for Active Teaching
    Advances in Next Generation Sequencing (NGS) technology have led to development of many research methods for analyzing genomic data. Students studying biology at the undergraduate level must hone their skills at genomic analysis to participate in...
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    Thinking deeply about quantitative analysis: Building a Biologist's Toolkit
    Vision and Change in Undergraduate Biology Education encouraged faculty to focus on core concepts and competencies in undergraduate curriculum. We created a sophomore-level course, Biologists' Toolkit, to focus on the competencies of...
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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    Next-generation sequencing is radically changing the study of biology, but there are currently few resources aimed at teaching the required laboratory and data-analysis skills to undergraduate students. This gap is especially true at primarily...
    Teaching Tools and Strategies
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    A Remote-Learning Framework for Student Research Projects: Using Datasets to Teach Experimental Design, Data Analysis and Science Communication
    Remote learning often requires an alternative to hands-on, student-designed research projects. To this end, we created a package of scaffolded assignments to support introductory students through the research process using datasets from past...
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    Gotcha! Which fly trap is the best? An introduction to experimental data collection and analysis
    Collecting data from experimental observations is an important component of the scientific process; likewise, the analysis of the data is essential to understanding the observed trends and patterns from any experiment. Allowing students to...
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    Three Research-Based Quantitative Reasoning Modules for Introductory Organismal Biology Laboratories
    We have designed three laboratory modules for an introductory organismal biology course with an emphasis on quantitative reasoning and data analysis skills. Module 1 tests for dimorphism in crayfish chelae using a paired statistical design. Module...
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    Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics Course
    Metagenomics is rapidly evolving due to advances in sequencing technologies and bioinformatics, but without proper training to interpret these datasets, student understanding remains limited. Aimed at undergraduate juniors and seniors and graduate...