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Introductory Biology

  • 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
  • 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
  • This is a representation of what might happen during peer discussion.

    In-class peer grading of daily quizzes increases feedback opportunities

    Learning Objectives
    Each of these objectives are illustrated with a succinct slide presentation or other supplemental material available ahead of class time through the course administration system. Learners found it particularly helpful to have video clips that remind them of mathematical manipulations available (in the above example objective c). Students understand that foundational objectives tend to be the focus of the quiz (objectives a-d) and that others will be given more time to work on together in class (objectives e-g), but I don't specify this exactly to reduce temptation that 'gamers' take a shortcut that would impact their group work negatively later on. However, the assignment for a focused graded group activity is posted as well, so it is clear what we are working towards; if desired individuals could prepare ahead of the class.
  • Peterson MP, Rosvall KA, Choi J-H, Ziegenfus C, Tang H, Colbourne JK, et al. (2013) Testosterone Affects Neural Gene Expression Differently in Male and Female Juncos: A Role for Hormones in Mediating Sexual Dimorphism and Conflict. PLoS ONE 8(4): e61784. doi:10.1371/journal.pone.0061784

    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

    Learning Objectives
    • From raw RNAseq data, run a basic analysis culminating in a list of differentially expressed genes.
    • Explain and evaluate statistical tests in RNAseq data. Specifically, given the output of a particular test, students should be able to interpret and explain the result.
    • Use the Linux command line to complete specified objectives in an RNAseq workflow.
    • Generate meaningful visualizations of results from new data in R.
    • (In addition, each chapter of this lesson plan contains more specific learning objectives, such as “Students will demonstrate their ability to map reads to a reference.”)
  • Pipets - photo by Magnus Manske

    Learning to Pipet Correctly by Pipetting Incorrectly?

    Learning Objectives
    • Students will be able to use analytical balances and micropipettes.
    • Students will be able to calculate averages and standard deviations.
    • Students will be able to use t-tests to compare two independent samples.
    • Students will be able to justify accepting or rejecting a null hypothesis based on an interpretation of p-values.
    • Students will learn to use spreadsheet software such as Microsoft Excel and/or Google Sheets
    • Students will be able to explain how pipetting incorrectly leads to errors.
  • Set Up Fly Traps: The photo is of the fly traps after being set up for the experiment

    Gotcha! Which fly trap is the best? An introduction to experimental data collection and analysis

    Learning Objectives
    Students will:
    • design and execute an experiment
    • collect, organize, and summarize data
    • analyze and interpret data and make inferences
  • 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.
  • A three-dimensional model of methionine is superimposed on a phase contrast micrograph of Saccharomyces cerevisiae from a log phase culture.

    Follow the Sulfur: Using Yeast Mutants to Study a Metabolic Pathway

    Learning Objectives
    At the end of this lesson, students will be able to:
    • use spot plating techniques to compare the growth of yeast strains on solid culture media.
    • predict the ability of specific met deletion strains to grow on media containing various sulfur sources.
    • predict how mutations in specific genes will affect the concentrations of metabolites in the pathways involved in methionine biosynthesis.