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    Why Do I Need a Lab Notebook? Teaching Responsible Conduct of Research with CURE Lab Notebooks
    There are few instructional tools about data acquisition and management available for undergraduate students. I created this lesson as a Fellow of the Ethics Network for Course-Based Opportunities...
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    Enzyme Kinetics: How Quickly Can Acetylcholinesterase Break Up Your Thoughts?
    This module contains exercises designed to help upper-level cell biology students understand the common graphical methods used to evaluate enzyme activity and to see the impact of inhibitors on...
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    Population Ecology of the Northern Spotted Owl
    The mathematical modeling of populations utilizing field-collected demographic data is an important component of lab curricula in a variety of undergraduate biology lab courses. During the global...
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    The Flight Physics Concept Inventory: Reliably Evaluating Aerodynamic Lift, Drag and Associated (Naïve) Concepts of Flight in Class and In-Game
    Students often struggle to transfer conceptual understanding from isolated instruction to a coherent mental model. This is especially true for the context of flight physics, fluid dynamics, or the...
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    Vaccine Development and Testing
    Scientists have the tools and knowledge to develop safe, effective vaccines, from trials to vials. This resource addresses the process by which vaccines are designed, tested and regulated. Key...
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    Walkabout: An Easy to Use, Experiential Learning Activity for Applying Abstract Concepts to the Real-World
    Students can have difficulty recognizing examples of course concepts in the real-world. They particularly struggle with phenomena that are ambiguously defined, have mimics, or are hard to...
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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.1 R basics for data exploration and management
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Introduction to Primate Data Exploration and Linear Modeling with R
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology research students on data management and statistical...
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    Module M.8 Survival analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills...
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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Facilitating Scientific Literacy Through Writing: A Write-to-Learn Assignment for Large Introductory Undergraduate Biology Courses
    Write-to-learn (WTL) assignments have been used in a variety of disciplines to encourage conceptual learning and critical thinking in undergraduate education. These assignments focus on...
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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.3 Visualizing data with ggplot2
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Module M.2 Descriptive statistics
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Learning How to Make “Good Enough” Estimations
    The ability to estimate physical quantities is a useful skill that can help develop critical thinking and scientific literacy. This lesson provides an accessible way to teach students how to...
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    3d Naturalists - Bioblitzes, Citizen Science, and Undergraduate Learning (RCN-UBE Introduction)
    Citizen science and the associated new technological ability to crowdsource data may be the gateway for engaging the public in the science needed for the management, protection, and stewardship of...
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    The (STEM)2 Network - Sustainable, Transformative Engagement across a Multi-Institution and Multidisciplinary STEM Network (RCN-UBE Introduction)
    Enhance undergraduate STEM education by promoting new and strengthening existing collaborations among biology, chemistry, and math faculty at 2- and 4-year institutions; and support faculty in...
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