Skip to main content

You are here


Search found 9 items


  • Train tracks, image author: Mitya Ilyinov

    BioMap Degree Plan: A project to guide students in exploring, defining, and building a plan to achieve career goals

    Learning Objectives
    Students will be able to...
    • Identify their values and interests.
    • Identify careers that align with their values and interests.
    • Identify academic programs and co-curricular experiences that will prepare them for a career.
    • Create the first draft of a BioMap Degree Plan to support achievement of their career goals.
    • Articulate how their undergraduate academic experience will prepare them for their future career.
    • Use professional communication skills
  • 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.
  • Medical students at a fair. Credit: Danieladelrio

    Casting a Wide Net via Case Studies: Educating across the undergraduate to medical school continuum in the biological...

    Learning Objectives
    At the end of this lesson, the student should be able to:
    • Consider the potential advantages and disadvantages of widespread use of whole genome sequencing and direct-to-consumer genetic testing.
    • Explore the critical need to maintain privacy of individual genetic test results to protect patient interests.
    • Dissect the nuances of reporting whole genome sequencing results.
    • Recognize the economic ramifications of precision medicine strategies.
    • Formulate a deeper understanding of the ethical dimensions of emerging genetic testing technologies.
  • 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.
  • 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
  • Protease Protection Assay. A diagram representing sample tubes from a protease protection assay with a transmembrane protein.

    Translating Co-Translational Translocation

    Learning Objectives
    Students will be able to:
    • list the steps of co-translational translocation in the correct order.
    • describe the key functions of molecules involved in co-translational translocation.
    • predict the outcome of co-translational translocation if one of the components is missing.
    • identify the characteristics of N-terminal ER signal sequences and internal ER signal sequences.
    • predict or interpret the results of a protease protection assay used to assess co-translational translocation or transmembrane protein topology.
    • predict the topology of a co-translationally translocated protein when given a description of the ER signal sequence or predict the type of ER signal sequence encoded by the mRNA-based protein topology.
  • DNA barcoding research in first-year biology curriculum

    CURE-all: Large Scale Implementation of Authentic DNA Barcoding Research into First-Year Biology Curriculum

    Learning Objectives
    Students will be able to: Week 1-4: Fundamentals of Science and Biology
    • List the major processes involved in scientific discovery
    • List the different types of scientific studies and which types can establish causation
    • Design experiments with appropriate controls
    • Create and evaluate phylogenetic trees
    • Define taxonomy and phylogeny and explain their relationship to each other
    • Explain DNA sequence divergence and how it applies to evolutionary relationships and DNA barcoding
    Week 5-6: Ecology
    • Define and measure biodiversity and explain its importance
    • Catalog organisms using the morphospecies concept
    • Geographically map organisms using smartphones and an online mapping program
    • Calculate metrics of species diversity using spreadsheet software
    • Use spreadsheet software to quantify and graph biodiversity at forest edges vs. interiors
    • Write a formal lab report
    Week 7-11: Cellular and Molecular Biology
    • Extract, amplify, visualize and sequence DNA using standard molecular techniques (PCR, gel electrophoresis, Sanger sequencing)
    • Explain how DNA extraction, PCR, gel electrophoresis, and Sanger sequencing work at the molecular level
    Week 12-13: Bioinformatics
    • Trim and assemble raw DNA sequence data
    • Taxonomically identify DNA sequences isolated from unknown organisms using BLAST
    • Visualize sequence data relationships using sequence alignments and gene-based phylogenetic trees
    • Map and report data in a publicly available online database
    • Share data in a formal scientific poster
  • Evaluating the Quick Fix: Weight Loss Drugs and Cellular Respiration Image File: QuickFixPrimImage.tiff Sources for images: Balance: Public Domain CCO Mitochondria: Pills:

    Evaluating the Quick Fix: Weight Loss Drugs and Cellular Respiration

    Learning Objectives
    • Students will be able to explain how the energy from sugars is transformed into ATP via cellular respiration.
    • Students will be able to predict an outcome if there is a perturbation in the cellular respiration pathway.
    • Students will be able to state and evaluate a hypothesis.
    • Students will be able to interpret data from a graph, and use that data to make inferences about the action of a drug.