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Four-Dimensional Ecology Education Framework 4DEE

The goal of this effort is to produce an ESA-sanctioned framework that can be useful to ecology educators, the ESA Board of Professional Certification process, environmental professionals, decision makers, and others.

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NEON Science YouTube Channel: Science Explained

These eight animated short videos explain ecological data, concepts, or techniques, including: "Ecological Forecasting: The Science of Predicting Ecosystems,"Eddy Covariance: Measuring an Ecosystem's Breath," and Mapping the Invisible: Introduction to Spectral Remote Sensing."

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Project Biodiversify

"Project Biodiversify provides ready-to-use examples of research concepts that highlight a diverse set of biologists.We aim to align our research examples with core biology curricula and, at the same time, highlight and humanize researchers as role models for students from many walks of life.  Our database is always growing – so check back often for updates!"

 

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Universal Design for Learning Guidelines

The UDL Guidelines are a tool used in the implementation of Universal Design for Learning, a framework to improve and optimize teaching and learning for all people based on scientific insights into how humans learn. Learn more about the Universal Design for Learning framework from CAST. The UDL Guidelines can be used by educators, curriculum developers, researchers, parents, and anyone else who wants to implement the UDL framework in a learning environment. These guidelines offer a set of concrete suggestions that can be applied to any discipline or domain to ensure that all learners can access and participate in meaningful, challenging learning opportunities.

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B(ui)LDS: Biological, Universal, and Inclusive Learning in Data Science

An EDSIN partner focused on the exchange of ideas and resources supporting biological and environmental data science education, grounded in practices of universal design for learning and inclusive pedagogy. As part of our commitment to accessible, affordable student-driven education that connects learners to a larger world outside of their classrooms, and inspires them to be transformative; we promote the creation and use of Open Educational Resources (openly licensed learning materials), and the incorporation of Open Pedagogy and Open Science into our teaching practices.

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STEM Inclusive Teaching Practices Webinar Series: Episode One

Episode One was a conversation with Bryan Dewsbury (University of Rhode Island) one of the authors of the CBE-LSE Inclusive Pedagogy guide moderated by Carrie Diaz Eaton. We talked with him about inclusive teaching practices, and he answered questions about implementation in the STEM classroom. We appreciate that all of our personal and professional lives have been disrupted by the pandemic, so we will also spend time talking about how to think about inclusion in the times of COVID-19.

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Ontology for UDL and Related Content

This is a description of tagging ontology that can be used for Universal Design for Learning (UDL) resources created by EDSIN member Drew Hasley

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Brian Dewsbury's Resources on Inclusion

A list of material in various platforms that help to inform developing thoughts on the ways in which social structure affects the nature of teaching and learning.

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Inclusive Pedagogy for Life Science Education Tagging Ontology

Inclusive pedagogy for life science education tagging ontology developed by EDSIN members Carrie Diaz Eaton, Sharon Rivera, and Bryan Dewsbury

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Actually, Data Science CAN Be Accessible: Barriers to inclusion of people with disabilities in the data science workforce pipeline and ideas for lowering them

Presentation by EDSIN member Drew Hasley that draw on personal experience as a student and professional with a severe visual impairment and knowledge gained from colleagues and friends during ongoing efforts in the area of accessible teaching in quantitative biology. This was a keynote presentation at the 2019 EDSIN conference.

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Curriculum: Calling Bullshit-The Art of Skepticism in a Data Driven World

Course developed by Carl T. Bergstrom and Jevin West. The aim of the course is to teach you how to think critically about the data and models that constitute evidence in the social and natural sciences.

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