You are here
Search found 7 items
- (-) Remove Create graph, table etc. to present data filter Create graph, table etc. to present data
- (-) Remove Systems filter Systems
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.
A new approach to course-based research using a hermit crab-hydrozoan symbiosisLearning ObjectivesStudents will be able to:
- define different types of symbiotic interactions, with specific examples.
- summarize and critically evaluate contemporary primary literature relevant to ecological symbioses, in particular that between hermit crabs and Hydractinia spp.
- articulate a question, based on observations of a natural phenomenon (in this example, the hermit crab-Hydractinia interaction).
- articulate a testable hypothesis, based on their own observations and read of the literature.
- design appropriate experimental or observational studies to address their hypotheses.
- collect and interpret data in light of their hypotheses.
- problem-solve and troubleshoot issues that arise during their experiment.
- communicate scientific results, both orally and in written form.
Quantifying and Visualizing Campus Tree PhenologyLearning ObjectivesThe Learning Objectives of this lesson span across the entire semester.
- Observe and collect information on phenological changes in local trees.
- Become familiar with a database and how to work with large datasets.
- Analyze and visualize data from the database to test their hypotheses and questions.
- Develop a research proposal including empirically-driven questions and hypotheses.
- Synthesize the results of their analysis in the context of plant biodiversity and local environmental conditions.
A virtual laboratory on cell division using a publicly-available image databaseLearning Objectives
- Students will name and describe the salient features and cellular tasks for each stage of cell division.
- Students will predict the relative durations of the stages of cell division using prior knowledge and facts from assigned readings.
- Students will describe the relationship between duration of each stage of cell division and the frequency of cells present in each stage of cell division counted in a random sample of images of pluripotent stem cells.
- Students will identify the stages of cell division present in research-quality images of human pluripotent stem cells in various stages of cell division.
- Students will quantify, analyze and summarize data on the prevalence of cells at different stages of cell division in randomly sampled cell populations.
- Students will use data to reflect on and revise predictions.
Dynamic Daphnia: An inquiry-based research experience in ecology that teaches the scientific process to first-year...Learning ObjectivesStudents 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.
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