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    Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...
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    Data Nugget- City Parks and Texas A&M University-Kingsville Camera Trap Assignment
    The Data Nugget- City Parks module was used in a sophomore-junior level undergraduate wildlife management techniques course (with lab) in Fall 2017. Modifications were made to the original Data...
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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...
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    Developing Data Literacy Skills and Connecting the Student Experience in the Classroom to the Community Through Biodiversity Projects
    Undergraduate education and long-term science literacy are enhanced by integrating data projects with public datasets and creating analysis summaries. Underutilized public datasets are often...
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    Data, Distributions, and Hypotheses: Exploring Diversity and Disturbance in the Tallgrass Prairie
    Proper hypothesis generation, data handling, graphing, and communication are essential skills that undergraduate majors in biology are expected to master. However, students rarely get hands-on...
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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...
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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...
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    Teaching Biodiversity with Museum Specimens in an Inquiry-Based Lab
    In response to the growth of biology datasets and broad efforts to digitize data, an increasingly important skill for science students is the management and analysis of large datasets. We designed...
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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...
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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...
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    Quantifying and Visualizing Campus Tree Phenology
    Large enrollment courses present a challenge for instructors who want to engage students in authentic science practices that fit the recommendations of Vision & Change. Our lesson provides a...
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    Linking Genotype to Phenotype: The Effect of a Mutation in Gibberellic Acid Production on Plant Germination
    Basic concepts in genetics and plant development are often taught in lecture courses without a lab component. This approach provides students with the content knowledge, but fails to make...
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    Online Adaptation to "Gotcha! Which fly trap is the best? An introduction to experimental data collection and analysis"
    We present here a simple and engaging experiment capitalizing on the universal need to rid our homes of fruit flies to teach experimental design and analysis. In an earlier paper, we described an...
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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...
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    Air Quality Data Mining: Mining the US EPA AirData website for student-led evaluation of air quality issues
    Air pollution directly affects human health endpoints including growth, respiratory processes, cardiovascular health, fertility, pregnancy outcomes, and cancer. Therefore, the distribution of air...
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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...
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    Breaking It Down: What Factors Control Microbial Decomposition Rates?
    Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate...
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    Snail Races: An Inquiry-Based Approach to Learn Invasive Species Ecology
    Inquiry-based lessons allow learning that is hands-on and student-driven, fostering engagement and retention of knowledge in any discipline. Here, we use this learning framework to engage students...
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    Single Cell Insights Into Cancer Transcriptomes: A Five-Part Single-Cell RNAseq Case Study Lesson
    There is a growing need for integration of “Big Data” into undergraduate biology curricula. Transcriptomics is one venue to examine biology from an informatics perspective. RNA sequencing has...
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    Exploring Primary Scientific Literature through the Lens of the 5 Core Concepts of Biology
    Biology students at the undergraduate level usually excel in knowing biological facts; however, they often struggle with connecting these facts to specific biological principles. In parallel,...
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