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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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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Chemistry
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...
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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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    Ecological Forecasting Repository of Online Educational Resources
    This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.
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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Physics
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...
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    Backward Design with Digital Data
    Best practices for designing educational modules using biodiversity data
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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
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    Trail Camera Field Survey Module
    This QUBES module introduces high school students to the exciting world of field surveys using trail cameras. Designed for environmental science classes, the module offers a hands-on approach to...
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    BioSkills Guide
    The BioSkills Guide comprises program- and course-level learning outcomes for the Vision and Change core competencies that elaborate what general biology majors should be able to do by the time...
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    EDSIN Conference Flier
    This is the official conference flier. Feel free to distribute via your networks.
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    Open Science and Education Practices Ontology
    Definitions and references for the Open Science and Education Practices tagging ontology
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    Learning Journal Assignment on Learning Spaces
    Learning Spaces are the zones where interaction between students & students and students & professor occurs. The learning spaces are of two types major learning space and minor...
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    Inclusive Pedagogy for Life Science Education Tagging Ontology
    Inclusive Pedagogy for Life Science Education Tagging Ontology

    Keywords: ontology

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    Helping teachers and students learn with research data: The role of a scientific gateway for education
    Presentation at the Cary Institute, April 5, 2018
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    Scientists Offering Solutions through Sprints
    Our BIOME Fall Working Group, Scientists Offering Solutions through Sprints, explains the process of putting together a Science sprint in your community. A science sprint is a one-day event in...
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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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    How to Create a Pollinator Project on iNaturalist
    Community science, also known as citizen science, allows any person to participate in scientific research. It breaks down the traditional barriers between scientists and the public, allowing anyone...
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    Before You Start Publishing on QUBES
    This handy guide follows the Instructions for Authors to keep together all the text that can then be copied during the publication process. Notes and comments in this document are italicized so...
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    STEM Inclusive Teaching Practices Webinar Series: The Biocultural Labels Initiative
    The Biocultural (BC) Labels initiative is focused on accurate provenance, transparency and integrity in research engagements with Indigenous communities. ...
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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
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