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Project Leadership Resources - Bringing Leadership Experiences into the Classroom

The Project Leadership Program is a pedgagogical approach that is designed to improve teamwork through the integration of shared leadership experiences. The program involves three components: a web-based App called Project Leadership, active engagement of student teams, and supportive coaching from instructors. This resource describes the program in more detail, shares user guides for the App, and provides examples of ways to integrate the program in different contexts.

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Heidi Walsh onto General Biology

Why does Blood Flow Change? Investigating the Math of Blood Flow Dynamics

This collection of activities explores the relationship between blood flow, pressure, and the factors of resistance through graphs and modeling direct and inverse variation.

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Vikki Maurer onto Math

Circle Train Math Modeling Task

This math modeling task is appropriate for high school Precalculus students. The students use their knowledge of transformations of trigonometric functions to create models for horizontal and vertical positions of a toy train moving on a circular track.

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Vikki Maurer onto Math Modeling

Math and Stats in the Biology Classroom with HHMI BioInteractive

Conquer basic math and statistics used in biology while exploring classroom-ready resources. Concepts include central tendency and variation, spreadsheet skills, graphing, and data analysis with Chi-Square and T-Tests

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Vikki Maurer onto Math

Mathematics for Biologists Problem Workbook

This is a workbook of solved problems created by Dr. Juergen Gerlach at Radford University

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Vikki Maurer onto Math

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 classroom, particularly for laboratory courses. This lesson describes a structured inquiry laboratory module focused on the examination of muscle cell differentiation. Muscle differentiation is a complex process that provides a unique opportunity for undergraduate students to explore various aspects of cell biology in the laboratory. The students engage in a project spanning eight weeks in which they utilize three complementary techniques (including fluorescence microscopy, Western blotting, and reverse transcriptase-based polymerase chain reaction) to examine the morphological and genetic changes that occur during muscle cell differentiation in culture. The instructor assesses students on the quality of their laboratory notebooks, including how thoroughly they document each experiment, as well as on their participation in discussions regarding experimental design, techniques, and results. Ultimately, students compile their work into an individually written research report, the format of which parallels typical journal articles published in the field of cell biology. The design of this module allows students to explore fundamental cell biology concepts while learning key experimental techniques. In addition, the instructor teaches this module in a structured inquiry-based manner to engage students in learning through investigation and discovery.

Primary Image: Myogenin and desmin expression in C2C12 myotubes. Visualized by immunofluorescence for myogenin, a muscle-specific regulatory transcription factor (green) and desmin, a muscle-specific cytoskeletal intermediate filament protein (red). 400X total magnification.

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Heidi Walsh onto Cell Biology Labs

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 classroom, particularly for laboratory courses. This lesson describes a structured inquiry laboratory module focused on the examination of muscle cell differentiation. Muscle differentiation is a complex process that provides a unique opportunity for undergraduate students to explore various aspects of cell biology in the laboratory. The students engage in a project spanning eight weeks in which they utilize three complementary techniques (including fluorescence microscopy, Western blotting, and reverse transcriptase-based polymerase chain reaction) to examine the morphological and genetic changes that occur during muscle cell differentiation in culture. The instructor assesses students on the quality of their laboratory notebooks, including how thoroughly they document each experiment, as well as on their participation in discussions regarding experimental design, techniques, and results. Ultimately, students compile their work into an individually written research report, the format of which parallels typical journal articles published in the field of cell biology. The design of this module allows students to explore fundamental cell biology concepts while learning key experimental techniques. In addition, the instructor teaches this module in a structured inquiry-based manner to engage students in learning through investigation and discovery.

Primary Image: Myogenin and desmin expression in C2C12 myotubes. Visualized by immunofluorescence for myogenin, a muscle-specific regulatory transcription factor (green) and desmin, a muscle-specific cytoskeletal intermediate filament protein (red). 400X total magnification.

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Heidi Walsh onto Cell Biology Labs

Coral Reefs in Hot Water

Students analyze sea surface temperature (SST) data from NOAA to predict coral bleaching at four locations in the Bahamas. They then compare their predictions to authentic research collected about coral mortality and temperature fluctuations

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Vikki Maurer onto Statistics

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 audience.

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Vikki Maurer onto Statistics

Basic Statistics

The students will practice identifying the appropriate basic statistical tests when given a scenario and learn how to run and interpret those statistical tests in R.

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Vikki Maurer onto Statistics

Infectious Chocolate Joy with a Side of Poissonian Statistics: An activity connecting life science students with subtle physics concepts

Lesson on what it means for biological processes to be Poissonian, published in CourseSource

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Vikki Maurer onto Statistics

Chi-squared test of independence between two categorical variables

In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.

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Vikki Maurer onto Statistics

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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Vikki Maurer onto Statistics

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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Vikki Maurer onto Statistics

Grassy Narrows and Muskrat Falls Dam: The Central Limit Theorem and a t-test

Students are introduced to concepts of sampling distributions and hypothesis testing using a simulation applet, elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and hypothetical data) against real-world mercury standards.

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Vikki Maurer onto Statistics

Math and Stats in the Biology Classroom with HHMI BioInteractive

Conquer basic math and statistics used in biology while exploring classroom-ready resources. Concepts include central tendency and variation, spreadsheet skills, graphing, and data analysis with Chi-Square and T-Tests

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Vikki Maurer onto Statistics

Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics

Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The collection provides student activity files with Excel instructions and Instructor Activity files with Excel instructions and solutions to problems. Students will be able to perform linear regression analysis, find correlation coefficient, create a scatter plot and find the r-square using MS Excel 365. Students will be able to interpret data sets, describe the relationship between biological variables, and predict the value of an output variable based on the input of an predictor variable.

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Vikki Maurer onto Statistics

Grassy Narrows and Muskrat Falls Dam: Hypothesis Testing and t-Tests

Students are introduced to concepts of hypothesis testing using elementary hypothesis tests, t-tests, and p-values as they compare a given fish population for methylmercury levels (using real and hypothetical data) against real-world mercury standards.

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Vikki Maurer onto Statistics

AIMS- Analyzing Images to learn Mathematics and Statistics - studying leaf cutter ants to learn linear regression

This is a teaching resource that uses fascinating images and videos of leaf cutter ants foraging in Panama to provide an engaging context for students to learn about mathematics and statistics.

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Vikki Maurer onto Statistics

statsTeachR

statsTeachR is an open-access, online repository of modular lesson plans, a.k.a. "modules", for teaching statistics using R at the undergraduate and graduate level.

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Vikki Maurer onto Statistics

Modernizing Statistics Education via Biology Applications

Part of the 2015 SMB Minisymposium: Topics in Biomathematics Education

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Vikki Maurer onto Statistics

Teacher Guide: Math and Statistics

Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student t-test, Hardy-Weinberg equation, and frequency calculations.

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Vikki Maurer onto Statistics

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 heroic efforts to forestall cheating to innovative incorporation. We provide a comprehensive survey of responses and a set of best practices.

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Vikki Maurer onto AI

Social Justice, Diversity, Equity, & Inclusion Glossary

This glossary includes terms and phrases that may be relevant in learning about and understanding aspects of Social Justice, Diversity, Equity, & Inclusion. A separate file with annotations about glossary terms including examples where they have been applied are available for you to explore and learn.

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