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Teaching the Biological Relevance of Chemical Kinetics Using Cold-Blooded Animal BiologyLearning ObjectivesStudents will be able to:
- Predict the effect of reaction temperature on the rate of a chemical reaction
- Interpret a graph plotted between rate of a chemical reaction and temperature
- Discuss chemical kinetics utilizing case studies of cold-blooded animals
A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research ExperienceLearning 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 first lesson in mathematical modeling for biologists: RocsLearning Objectives
- Systematically develop a functioning, discrete, single-species model of an exponentially-growing or -declining population.
- Use the model to recommend appropriate action for population management.
- Communicate model output and recommendations to non-expert audiences.
- Generate a collaborative work product that most individuals could not generate on their own, given time and resource constraints.
Furry with a chance of evolution: Exploring genetic drift with tuco-tucosLearning Objectives
- Students will be able to explain how genetic drift leads to allelic changes over generations.
- Students will be able to demonstrate that sampling error can affect every generation, which can result in random changes in allelic frequency.
- Students will be able to explore and evaluate the effect of population size on the strength of genetic drift.
- Students will be able to analyze quantitative data associated with genetic drift.
The Leaky Neuron: Understanding synaptic integration using an analogy involving leaky cupsLearning ObjectivesStudents will able to:
- compare and contrast spatial and temporal summation in terms of the number of presynaptic events and the timing of these events
- predict the relative contribution to reaching threshold and firing an action potential as a function of distance from the axon hillock
- predict how the frequency of incoming presynaptic action potentials effects the success of temporal summation of resultant postsynaptic potentials
Predicting and classifying effects of insertion and deletion mutations on protein coding regionsLearning ObjectivesStudents will be able to:
- accurately predict effects of frameshift mutations in protein coding regions
- conduct statistical analysis to compare expected and observed values
- become familiar with accessing and using DNA sequence databases and analysis tools