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    Why representation matters: Interpreting data to identify factors that affect Black students’ persistence in STEM
    In this lesson, learners interpret a table summarizing the factors influencing the persistence of Black students at an HBCU. Then, learners view and reflect on an interview with science education...
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    Make Your Move: Interpreting graphs of pollinator behavior
    In this lesson, students interpret graphs of pollinator movement behavior. Then, students view and reflect on an interview with community ecologist Dr. Suann Yang., who collected the data that they...
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    Critical inquiry for inclusive teaching of statistics
    Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.
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    Atmospheric Carbon Dioxide Data Analysis - Draft (1)
    Students will be able to analyze real data to review basic statistics. Students will be able to work as a group to determine the best way to present their data.
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    Biodiversity Counts! Making sense of diversity metrics and graphs
    In this lesson students 1) become familiar with various graphs that are used to study diversity patterns within and across sites, 2) learn about some of the questions that can be addressed by...
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    BioGraphI OER Lesson Guide Template - Google Docs
    This template of a lesson plan was developed for the Biologists and Graph Interpretation (BioGraphI) Network. Curriculum developers use it to make a BioGraphI module.
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    Resource list for inclusive teaching in STEM (HHMI)
    A resource collection created for HHMI BioInteractive to guide the development of teaching resources aligned with principles of equity and inclusion.
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    Morphological identification of mosquitoes through microscopic observation
    Scientific research is integrated into various stages of student learning, but hands-on involvement in the research process typically begins at the university level. This module aims to engage high...
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    Pedigree Unspoken Assumptions
    A video that highlights the unspoken assumptions that we use in pedigree analysis.
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    Case Study — World records as measures of senescence or randomness
    This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...
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    From Nano to Life: Interpreting graphs from Nanopore sequencing of bacterial genomes
    In this lesson, learners meet several scientists working on sustainable ways of recycling discarded electronics. Through an interactive H5P activity, participants watch videos and complete a series...
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    A Changing Climate in the Hawaiian Wet Forest: In-Person and Virtual Curriculum for Field Courses at Puʻu Makaʻala NAR
    Curriculum for Puʻu Makaʻala Huakaʻi with the National Ecological Observatory Network (NEON), developed by Teaching Change. This module was created to guide Teaching Change Field Courses at Puʻu...
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    Creating Game-Based IDEAs using Twine (BIOME 2022)
    Games and gamification-principles are powerful tools that increase engagement and improve learning outcomes when applied appropriately to STEM instruction. The interactive nature of games allows...
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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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    How We Help: Human elements of restoration ecology
    In this lesson, students recall the basics of restoration ecology, interpret and predict several graphs that explain restoration manager characteristics, and reflect on an interview with...
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    Calling Bull Case Study — 99.9% Caffeine-free with R
    This is an adaptation of Calling Bull's Case Study on how caffeine free is hot chocolate versus coffee in order to make it into a student project that uses R.
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    Cancer Genetics and an Interview with a Deaf Biomedical Researcher
    In this lesson, learners will learn about cancer genetics and understand and interpret graphs showing quantitative trait locus (QTL) data, survivor curve data, and other genetics data. Then,...
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    Agents of change: Determining effects of pollution on marine environments through data interpretation
    In this lesson, students discuss the effects of disturbance in marine environments with a focus on pollution. They also evaluate the anthropogenic causes and consequences of pollution on a variety...
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    Unveiling Lizard Evolution: Graphical Insights into Behavioral Ecology in the Era of Climate Change
    This lesson targets entry-level undergraduate students to enhance their proficiency in comprehending and interpreting scientific graphs. The lesson incorporates group discussions centered around...
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    Evaluation of DEIJ in Lectures of Junior Year Science Undergraduate Course
    Diversity, equity, inclusion, and social justice, DEIJ, is important for both students and faculty as they improve learning outcomes and elicit professional competency respectively. DEIJ...
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