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    Learning Spaces in undergraduate science courses ( virtual and face to face)
    Learning Spaces are zones of interaction between undergraduates & undergraduates and undergraduates & professor. The traditional learning spaces were existing pre-pandemic however post-pandemic the...
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    2016-Manheim-EtAl-Improving Decision Support for Infectious Disease Prevention and Control
    This report describes decision-support tools, including models and nonmodeling approaches, that are relevant to infectious disease prevention, detection, and response and aligns these tools with...
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    Statistics with epidemiology of COVID-19
    Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...
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    Teaching Biodiversity with Museum Specimens in an Inquiry-Based Lab
    In response to the growth of biology datasets and broad efforts to digitize data, an increasingly important skill for science students is the management and analysis of large datasets. We designed...
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    Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced students
    University capstone projects can offer science students a rich research experience that illustrates the process of doing scientific research, and can also help students better choose future...
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    Snail Races: An Inquiry-Based Approach to Learn Invasive Species Ecology
    Inquiry-based lessons allow learning that is hands-on and student-driven, fostering engagement and retention of knowledge in any discipline. Here, we use this learning framework to engage students...
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    Learning R for Biologists: A Mini Course Grab-Bag for Instructors
    As biology becomes more data driven, teaching students data literacy skills has become central to biology curriculum. Despite a wealth of online resources that teach researchers how to use R, there...
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    Science Learning Spaces in undergraduate courses ( virtual and face to face) : Impact of Technology, Resources and Active Learning Activities
    Science Learning Spaces are evolving in both face to face and virtual learning environments. Effective utilization and identification of appropriate learning spaces helps in formation of engaging...
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    BioVEDA Curriculum: An Approach to Link Conceptual and Quantitative Understanding of Variation During Experimental Design and Data Analysis
    When performing a biological investigation, experts constantly cycle between conceptual and quantitative modes of thinking, integrating their understanding in both worlds to make decisions about...
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    An Inquiry-Based Project Added to Traditional Labs: Hands-On Fish Awareness Research in Freshwater Systems Conducted by First-Year Biology Students
    This project involves students in an inquiry-based project added to the introductory biology laboratory course for majors in fall 2019. Research has shown that student engagement in authentic...
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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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    Continuous Growth Models
    This Excel worksheet compares user-input growth data with predictions under linear, exponential, and logistic models of growth. Introduces concepts of statistical analysis that can be additionally...
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    Teaching biostatistics using the Rule of Four
    A guide to helping intro bio students develop a deeper understanding of key statistical concepts by translating among numeric, graphical, verbal, and symbolic representations.
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    BIO 439/539: Big Data Analysis
    Course materials for BIO 439/539: Big Data Analysis
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    Data Analysis for the Life Sciences
    An online stats book written completely in R
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    2007-Helfgott-Seier-Some Mathematical and Statistical Aspects of Enzyme Kinetics
    We will analyze some basic ideas behind enzyme kinetics, which allow us to deal with separable and linear differential equations as well as realize the need to use power series.
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    Statistics Overview
    A Numbers Count statistics diagram
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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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    Breaking It Down: What Factors Control Microbial Decomposition Rates?
    Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate...
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    The Chi-Square Test
    This module introduces how to determine whether observation is significantly different from expectation in the context of understanding Chi-square Test. It is intended for an introductory biology...
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