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  • Using Place-Based Economically Relevant Organisms to Improve Student Understanding of the Roles of Carbon Dioxide,...

    Learning Objectives
    At the end of this lesson, students will be able to:
    • Describe the roles of light energy and carbon dioxide in photosynthetic organisms.
    • Identify the effect of nutrients on the growth of photosynthetic organisms.
    • Describe global cycles in atmospheric carbon dioxide levels and how they relate to photosynthetic organisms.
  • 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.
  • Phylogeny of HIV1 pol genes sequenced anonymously from viral pools of six victims and the defendant (CCO1-CCO7), plus control samples. Used with permission from Proceedings of the National Academy of Sciences of the United States of America.

    Forensic Phylogenetics: Implementing Tree-thinking in a Court of Law

    Learning Objectives
     
    • Students will be able to infer the topological and temporal relationships expected in an evolutionary tree (phylogeny) of a pathogen in the case of transmission from one host to the next.
    • Students will be able to draw trees representing the transmission events from one host (patient zero) to multiple secondary patients.
  • Format of a typical course meeting
  • 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 a clicker-based case study on muscular dystrophy and the effect of mutations on the processes in the central dogma.

    A clicker-based case study that untangles student thinking about the processes in the central dogma

    Learning Objectives
    Students will be able to:
    • explain the differences between silent (no change in the resulting amino acid sequence), missense (a change in the amino acid sequence), and nonsense (a change resulting in a premature stop codon) mutations.
    • differentiate between how information is encoded during DNA replication, transcription, and translation.
    • evaluate how different types of mutations (silent, missense, and nonsense) and the location of those mutations (intron, exon, and promoter) differentially affect the processes in the central dogma.
    • predict the molecular (DNA size, mRNA length, mRNA abundance, and protein length) and/or phenotypic consequences of mutations.
  • 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.