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    How STEM Faculty Can Manage Generative A.I. use by Students
    Generative AIs (e.g., ChatGPT have arrived on college campuses. STEM faculty have begun grappling with this disruptive technology and have responded in a various way from grudging acceptance to...
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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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    Data-Driven Decision-Making: Antarctic Fisheries
    This is an entire module for a general education data science and ecology course. The module was originally designed as the fourth and final section of the course; the full course is openly...
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    Let me in: Interpreting graphs of parasite infection in red blood cells
    The goal of this activity is to familiarize students with reading graphs, to think about how cells are different from one another and how parasites can take advantage of cell surface markers to...
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    A Structured Inquiry-Based Module for the Undergraduate Cell Biology Laboratory That Teaches Fundamental Concepts of Cell Differentiation
    Pedagogical research in science education has shown that students effectively learn science by doing science. As a result, there is increased interest in bringing research-like experiences into the...
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    Exploring Microbial Diversity: An Interactive In-Class Assignment for Biology and Microbiology Courses
    This interactive assignment engages students in a hands-on exploration of microbial diversity and the importance of microbes in ecosystems. Designed for General Biology II and Introduction to...
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    Instructions for access to BioGraphI PrePost-Lesson Student Survey - Google Docs
    This document contains instructions for curriculum developers to invite students to complete a survey before and following their participation in curriculum produced by the Biologists and Graph...
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    BioGraphI Student Learning Outcomes Assessment Tool - Google Docs
    This document contains the student learning outcomes that guide the development of curriculum produced by the Biologists and Graph Interpretation (BioGraphI) Network and the survey instrument used...
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    BEDE Network Data Science Skills Curriculum Map
    The Biological and Environmental Data Education (BEDE) Network has produced this data science skills curriculum map as a flexible tool to help instructors highlight data science skills that they...
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    Learning the Landscape: An Active and Applied Lesson on Landscape Ecology for General Ecology Courses
    Landscape ecology is an important subtopic of ecology. As a field, it is inherently interdisciplinary and provides opportunities to teach not only content, but transferable ecological and...
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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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    Implementing an online module about interpreting sound in a coral reef for an undergraduate marine biology course in Indonesia
    Students engage in interpreting sound, exploring the diversity of sounds in a coral reef in Indonesia, and relating coral reefs to climate change. This implementation incorporated principles of...
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    PhyloCards: a fun approach to exploring the local Wissahickon biodiversity, Chestnut Hill, Philadelphia, PA
    PhyloCards are educational trading cards that teach people about biodiversity, conservation, and ecosystem relationships. We used this educational tool to explore the Wissahickon Valley's...
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    Bates College DCS 105 Calling Bull: Data Literacy and Information Science Course Slides
    Slides that accompany the Course DCS 105 Calling Bull: Data Literacy and Information Science from Bates College
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    Long Term Self-assessment Bates College DCS 105
    This is a long-term self-assessment tool for students participating in the Bates College course DCS 105 Calling Bull: Data Literacy and Information Science. .
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    DCS 105 F24 Reading List Bates College
    The reading list for DCS 105 Calling Bull: Data Literacy and Information Science is curated to enhance students' understanding of misinformation and its impact on society.
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    DCS 105 Calling Bull F24 Schedule
    Schedule overview for Bates College Course DCS 105 Calling Bull
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    Implementing an online module about measuring carbon stocks in an undergraduate Earth Science course
    In this implementation of a case study in which high technology was used to measure carbon stocks in a tropical forest, earth science students in this 4-year college in Oklahoma applied concepts...
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    Prosecutor’s Fallacy and Mammograms Case Study
    An introduction to Prosecutor’s Fallacy, and False Positives/Negatives. By Dr. Diaz Eaton, Bates College, for use in DCS 105A, and inspired by Calling Bull & Calculated Risks.
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    Using Science Education Gateways to Improve Undergraduate STEM Education: The QUBES Platform as a Case Study
    This paper describes BioQUEST's vision for the QUBES platform as an engine for science education reform. 
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