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  • Your Tax Dollars at Work: A mock grant writing experience centered on scientific process skills

    Learning Objectives
    Students will be able to:
    • Propose a testable, novel question contributing to a biological field of study.
    • Formulate a study rationale.
    • Describe relevant background information on a topic using the primary literature.
    • Choose appropriate scientific, mathematical, and statistical methods to analyze a research question.
    • Determine the financial costs of a research project.
    • Present a proposal for peer review and compose a constructive peer review.
    • Collaborate as a member of a scientific team.
    • Articulate the review criteria and process used in NSF-style proposal review.
  • ACTN3 from https://upload.wikimedia.org/wikipedia/commons/3/33/Protein_ACTN3_PDB_1tjt.png

    The Science Behind the ACTN3 Polymorphism

    Learning Objectives
    This article accompanies the lesson "The ACTN3 Polymorphism: Applications in Genetics and Physiology Teaching Laboratories." Learning objectives for the lesson include:
    1. Test hypotheses related to the role of ACTN3 in skeletal muscle function.
    2. Explain how polymorphic variants of the ACTN3 gene affect protein structure and function.
    3. List and explain the differences between fast twitch and slow twitch muscle fibers.
    4. List and explain possible roles of the ACTN3 protein in skeletal muscle function.
    5. Find and analyze relevant scientific publications about the relationship between ACTN3 genotype and muscle function.
    6. Formulate hypotheses related to the relationship between ACTN3 genotype and skeletal muscle function.
    7. Design experiments to test hypotheses about the role of ACTN3 in skeletal muscle function.
    8. Statistically analyze experimental results using relevant software.
    9. Present experimental results in writing.
  • ACTN3 from https://upload.wikimedia.org/wikipedia/commons/3/33/Protein_ACTN3_PDB_1tjt.png

    The ACTN3 Polymorphism: Applications in Genetics and Physiology Teaching Laboratories

    Learning Objectives
    1. Test hypotheses related to the role of ACTN3 in skeletal muscle function.
    2. Explain how polymorphic variants of the ACTN3 gene affect protein structure and function.
    3. List and explain the differences between fast twitch and slow twitch muscle fibers.
    4. List and explain possible roles of the ACTN3 protein in skeletal muscle function.
    5. Find and analyze relevant scientific publications about the relationship between ACTN3 genotype and muscle function.
    6. Formulate hypotheses related to the relationship between ACTN3 genotype and skeletal muscle function.
    7. Design experiments to test hypotheses about the role of ACTN3 in skeletal muscle function.
    8. Statistically analyze experimental results using relevant software.
    9. Present experimental results in writing.
  • Adult female Daphnia dentifera. Daphnia spp. make a great study system due to their transparent body and their ease of upkeep in a lab.

    Dynamic Daphnia: An inquiry-based research experience in ecology that teaches the scientific process to first-year...

    Learning Objectives
    Students will be able to:
    • Construct written predictions about 1 factor experiments.
    • Interpret simple (2 variables) figures.
    • Construct simple (2 variables) figures from data.
    • Design simple 1 factor experiments with appropriate controls.
    • Demonstrate proper use of standard laboratory items, including a two-stop pipette, stereomicroscope, and laboratory notebook.
    • Calculate means and standard deviations.
    • Given some scaffolding (instructions), select the correct statistical test for a data set, be able to run a t-test, ANOVA, chi-squared test, and linear regression in Microsoft Excel, and be able to correctly interpret their results.
    • Construct and present a scientific poster.
  • Students use plastic Easter eggs and chocolate pieces to simulate the distribution of HIV in T lymphocytes.

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

    Learning Objectives
    • Students will define a Poisson distribution.
    • Students will generate a data set on the probability of a T cell being infected with a virus(es).
    • Students will predict the likelihood of one observing the mean value of viruses occurring.
    • Students will evaluate the outcomes of a random process.
    • Students will hypothesize whether a process is Poissonian and design a test for that hypothesis.
    • Students will collect data and create a histogram from their data.
  • Building a Model of Tumorigenesis: A small group activity for a cancer biology/cell biology course

    Learning Objectives
    At the end of the activity, students will be able to:
    • Analyze data from a retrospective clinical study uncovering genetic alterations in colorectal cancer.
    • Draw conclusions about human tumorigenesis using data from a retrospective clinical study.
    • Present scientific data in an appropriate and accurate way.
    • Discuss why modeling is an important practice of science.
    • Create a simple model of the genetic changes associated with a particular human cancer.
  • Sample Student Growth Curve. This image shows a yeast growth curve generated by a student in our lab, superimposed on an image of Saccharomyces cerevisiae cells.

    Using Yeast to Make Scientists: A Six-Week Student-Driven Research Project for the Cell Biology Laboratory

    Learning Objectives
    • Learn about basic S. cerevisiae biology
    • Use sterile technique
    • Perform a yeast viability assay
    • Use a spectrophotometer to measure growth of S. cerevisiae
    • Perform a literature search
    • Calculate concentrations of chemicals appropriate for S. cerevisiae
    • Generate S. cerevisiae growth curves
    • Troubleshoot experimental difficulties
    • Perform statistical analysis
    • Present findings to an audience
  • A photo of grizzly bears fishing in the McNeil Falls in Alaska, taken using BearCam by Lawrence Griffing.

    Authentic Ecological Inquiries Using BearCam Archives

    Learning Objectives
    Students will be able to:
    • conduct an authentic ecological inquiry including
      • generate a testable hypothesis based on observations,
      • design investigation with appropriate sampling selection and variables,
      • collect and analyze data following the design, and
      • interpret results and draw conclusions based on the evidence.
    • write a research report with appropriate structure and style.
    • evaluate the quality of inquiry reports using a rubric.
    • conduct peer review to evaluate and provide feedback to others' work.
    • revise the inquiry report based on peer feedback and self-assessment.
  • An active-learning lesson that targets student understanding of population growth in ecology

    Learning Objectives
    Students will be able to:
    • Calculate and compare population density and abundance.
    • Identify whether a growth curve describes exponential, linear, and/or logistic growth.
    • Describe and calculate a population's growth rate using linear, exponential, and logistic models.
    • Explain the influence of carrying capacity and population density on growth rate.
  • Image from http://www.epa.gov/airdata/ad_maps.html

    Air Quality Data Mining: Mining the US EPA AirData website for student-led evaluation of air quality issues

    Learning Objectives
    Students will be able to:
    • Describe various parameters of air quality that can negatively impact human health, list priority air pollutants, and interpret the EPA Air Quality Index as it relates to human health.
    • Identify an air quality problem that varies on spatial and/or temporal scales that can be addressed using publicly available U.S. EPA air data.
    • Collect appropriate U.S. EPA Airdata information needed to answer that/those questions, using the U.S. EPA Airdata website data mining tools.
    • Analyze the data as needed to address or answer their question(s).
    • Interpret data and draw conclusions regarding air quality levels and/or impacts on human and public health.
    • Communicate results in the form of a scientific paper.
  • This collage contains original images taken by the course instructor. The images show a microscopic view of stomata on the underside of a Brassica rapa leaf (A), B. rapa plants in their growth trays (B), a flowering B. rapa plant (C), and different concentrations of foliar protein (D). Photos edited via Microsoft Windows Photo Editor and Phototastic Collage Maker.

    A flexible, multi-week approach to plant biology - How will plants respond to higher levels of CO2?

    Learning Objectives
    Students will be able to:
    • Apply findings from each week's lesson to make predictions and informed hypotheses about the next week's lesson.
    • Keep a detailed laboratory notebook.
    • Write and peer-edit the sections of a scientific paper, and collaboratively write an entire lab report in the form of a scientific research paper.
    • Search for, find, and read scientific research papers.
    • Work together as a team to conduct experiments.
    • Connect findings and ideas from each week's lesson to get a broader understanding of how plants will respond to higher levels of CO2 (e.g., stomatal density, photosynthetic/respiratory rates, foliar protein concentrations, growth, and resource allocation).
    Note: Additional, more specific objectives are included with each of the four lessons (Supporting Files S1-S4)
  • Modeling the Research Process: Authentic human physiology research in a large non-majors course

    Learning Objectives
    Students will be able to:
    • Read current scientific literature
    • Formulate testable hypotheses
    • Design an experimental procedure to test their hypothesis
    • Make scientific observations
    • Analyze and interpret data
    • Communicate results visually and orally
  • Possible implementations of a short research module

    A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research Experience

    Learning Objectives
    • Students will be able to evaluate the strengths and weaknesses of data.
    • Students will be able to employ prior knowledge in formulating a biological research question or hypothesis.
    • Students will be able to distinguish a research question from a testable hypothesis.
    • Students will recognize that the following are essential elements in experimental design: identifying gaps in prior knowledge, picking an appropriate approach (ex. experimental tools and controls) for testing a hypothesis, and reproducibility and repeatability.
    • Students will be able to identify appropriate experimental tools, approaches and controls to use in testing a hypothesis.
    • Students will be able to accurately explain why an experimental approach they have selected is a good choice for testing a particular hypothesis.
    • Students will be able to discuss whether experimental outcomes support or fail to support a particular hypothesis, and in the case of the latter, discuss possible reasons why.
  • A A student assists Colorado Parks & Wildlife employees spawning greenback cutthroat trout at the Leadville National Fish Hatchery; B greenback cutthroat trout adults in a hatchery raceway; C tissue samples collected by students to be used for genetic analysis (images taken by S. Love Stowell)

    Cutthroat trout in Colorado: A case study connecting evolution and conservation

    Learning Objectives
    Students will be able to:
    • interpret figures such as maps, phylogenies, STRUCTURE plots, and networks for species delimitation
    • identify sources of uncertainty and disagreement in real data sets
    • propose research to address or remedy uncertainty
    • construct an evidence-based argument for the management of a rare taxon
  • pClone Red Makes Research Look Easy

    Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Introductory Biology (identifying...

    Learning Objectives
    • Describe how cells can produce proteins at the right time and correct amount.
    • Diagram how a repressor works to reduce transcription.
    • Diagram how an activator works to increase transcription.
    • Identify a new promoter from literature and design a method to clone it and test its function.
    • Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments.
    • Design an experiment to verify a new promoter has been cloned into a destination vector.
    • Design an experiment to measure the strength of a promoter.
    • Analyze data showing reporter protein produced and use the data to assess promoter strength.
    • Define type IIs restriction enzymes.
    • Distinguish between type II and type IIs restriction enzymes.
    • Explain how Golden Gate Assembly (GGA) works.
    • Measure the relative strength of a promoter compared to a standard promoter.
  • Teaching Genetic Linkage and Recombination through Mapping with Molecular Markers

    Learning Objectives
    Students will be able to:
    • Explain how recombination can lead to new combinations of linked alleles.
    • Explain how molecular markers (such as microsatellites) can be used to map the location of genes/loci, including what crosses would be informative and why.
    • Explain how banding patterns on an electrophoresis gel represent the segregation of alleles during meiosis.
    • Predict how recombination frequency between two linked loci affects the genotype frequencies of the products of meiosis compared to loci that are unlinked (or very tightly linked).
    • Analyze data from a cross (phenotypes and/or genotypes) to determine if the cross involves linked genes.
    • Calculate the map distance between linked genes using data from genetic crosses, such as gel electrophoresis banding patterns.
    • Justify conclusions about genetic linkage by describing the information in the data that allows you to determine genes are linked.
  • Simplified Representation of the Global Carbon Cycle, https://earthobservatory.nasa.gov/Features/CarbonCycle/images/carbon_cycle.jpg

    Promoting Climate Change Literacy for Non-majors: Implementation of an atmospheric carbon dioxide modeling activity as...

    Learning Objectives
    • Students will be able to manipulate and produce data and graphs.
    • Students will be able to design a simple mathematical model of atmospheric CO2 that can be used to make predictions.
    • Students will be able to conduct simulations, analyze, interpret, and draw conclusions about atmospheric CO2 levels from their own computer generated simulated data.
     
  • pClone Red Makes Research Look Easy

    Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Genetics (analyzing mutant...

    Learning Objectives
    • Describe how cells can produce proteins at the right time and correct amount. 
    • Diagram a bacterial promoter with −35 and −10 elements and the transcription start site.
    • Describe how mutational analysis can be used to study promoter sequence requirements.
    • Develop a promoter mutation hypothesis and design an experiment to test it.
    • Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments. 
    • Design an experiment to verify a mutated promoter has been cloned into a destination vector. 
    • Design an experiment to measure the strength of a promoter. 
    • Analyze data showing reporter protein produced and use the data to assess promoter strength. 
    • Define type IIs restriction enzymes.
    • Distinguish between type II and type IIs restriction enzymes.
    • Explain how Golden Gate Assembly (GGA) works.
    • Measure the relative strength of a promoter compared to a standard promoter.