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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    BIO 263 Ecological Data Analysis
    Course materials for BIO 263 Ecological Data Analysis
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    Using Zebrafish in a Developmental Biology Lab Course to Explore Interactions Between Development and the Environment
    Important learning outcomes for biology students include the ability to develop experiments as well as pull together concepts across their coursework. The field of developmental biology, especially...
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    Calculating and Comparing Biodiversity Materials Across Sites Using NEON Herbaceous Vegetation Data - a Tutorial
    These materials are intended for use at the undergraduate level. They employ R and Excel software.
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    BCEENET- Broadening undergraduate participation in ecology and evolution research through CUREs using digitized natural history collections data (RCN-UBE Introduction)
    Biological Collections in Ecology and Evolution Network (BCEENET) brings together natural history collections (NHC) professionals, undergraduate educators, data experts, and researchers to support...
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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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    5Qs: An Activity to Support Students Develop Skills to Interpret Research Observations
    5Qs (five questions) is a simple pedagogy tool research mentors can use to help students think through their observations systematically, to draw supported conclusions, and to decide on next steps,...
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    Quantitative biology: how educators that "buy-in" demonstrate greater productivity in teaching scholarship
    Poster presented at the University of Pittsburgh undergraduate research symposium on the impact of buy-in on productivity in faculty mentoring networks.
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    2015-European_Bioinformatics_Institute-Bio-Models-Database
    Bio Models Database is a repository of computational models of biological processes. Models described from literature are manually curated and enriched with cross-references. All models are...
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    Active Learning: Developing Self-Directed Learners Through Strong Intellectual Engagement
    When they were students, many current science instructors learned through traditional lectures. This mode of passive knowledge transmission has been shown to be less effective for student learning...
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    Learning to Pipet Correctly by Pipetting Incorrectly?
    Beginning undergraduate students in biology need basic laboratory, data analysis, and science process skills to pursue more complex questions in course-based undergraduate research experiences...
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    Links to Avida-ED spreadsheets for Active LENS and BioQUEST 2018
    Avida-ED materials and resources for Active LENS and BioQUEST 2018.
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    Using CREATE in the Undergraduate Ecology Classroom
    Poster on using the CREATE (Consider, Read, Elucidate the Hypothesis, Analyze and Interpret the Data, and Think of the Next Experiment) approach pioneered in molecular and cellular biology classes...
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    A Laboratory Module That Explores RNA Interference and Codon Optimization Through Fluorescence Microscopy Using Caenorhabditis elegans
    Scientific research experiences are beneficial to students allowing them to gain laboratory and problem-solving skills, as well as foundational research skills in a team-based setting. We designed...
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    A Remote Introductory Biology Lab Using Backyard Birdwatching to Teach Data Analysis and Communication
    Asking questions, designing experiments, collecting data and interpreting those data, and communicating the results are some of the most important concepts an undergraduate biology lab can teach...
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    Earth Analytics in R Course
    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
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    Assessing the Risk of Invasive Species Using Community Science Data
    This module introduces students who are already familiar with GIS to doing comparative analyses with large-scale community science (often called citizen science) data sets. Students will explore...
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    Helping Students to Metacognitively Read Scientific Literature With Talking to the Text
    Reading primary scientific literature enhances students’ understanding of material, increases their self-efficacy, and critical thinking skills. However, scientific articles often present...
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