You are here
Search found 3 items
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.
Training future faculty in 30 minutes a week: A modular framework to provide just-in-time professional development to...Learning ObjectivesTAs will be able to:
- design small classroom activities
- design fair quiz and exam questions
- use rubrics to grade assignments fairly and in a timely manner
- offer constructive, actionable feedback on student written work
- compare and contrast context-specific strategies for dealing with student problems
- compare and contrast context-specific time management strategies
- discuss the importance of diversity, evaluate their own implicit biases, and discuss how these could impact their teaching
- compare and contrast different methods of summarizing teaching experience on job application materials
- evaluate their teaching in a reflective manner to develop future teaching goals
Air Quality Data Mining: Mining the US EPA AirData website for student-led evaluation of air quality issuesLearning ObjectivesStudents will be able to:
- Describe various parameters of air quality that can negatively impact human health, list priority air pollutants, and interpret the EPA Air Quality Index as it relates to human health.
- Identify an air quality problem that varies on spatial and/or temporal scales that can be addressed using publicly available U.S. EPA air data.
- Collect appropriate U.S. EPA Airdata information needed to answer that/those questions, using the U.S. EPA Airdata website data mining tools.
- Analyze the data as needed to address or answer their question(s).
- Interpret data and draw conclusions regarding air quality levels and/or impacts on human and public health.
- Communicate results in the form of a scientific paper.