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- (-) Remove Introductory Biology filter Introductory Biology
- (-) Remove Participate in discussion filter Participate in discussion
- (-) Remove Ability to use quantitative reasoning filter Ability to use quantitative reasoning
- (-) Remove Ability to use modeling and simulation filter Ability to use modeling and simulation
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.
Building Trees: Introducing evolutionary concepts by exploring Crassulaceae phylogeny and biogeographyLearning ObjectivesStudents will be able to:
- Estimate phylogenetic trees using diverse data types and phylogenetic models.
- Correctly make inferences about evolutionary history and relatedness from the tree diagrams obtained.
- Use selected computer programs for phylogenetic analysis.
- Use bootstrapping to assess the statistical support for a phylogeny.
- Use phylogenetic data to construct, compare, and evaluate the role of geologic processes in shaping the historical and current geographic distributions of a group of organisms.
A flexible, multi-week approach to plant biology - How will plants respond to higher levels of CO2?Learning ObjectivesStudents will be able to:
- Apply findings from each week's lesson to make predictions and informed hypotheses about the next week's lesson.
- Keep a detailed laboratory notebook.
- Write and peer-edit the sections of a scientific paper, and collaboratively write an entire lab report in the form of a scientific research paper.
- Search for, find, and read scientific research papers.
- Work together as a team to conduct experiments.
- Connect findings and ideas from each week's lesson to get a broader understanding of how plants will respond to higher levels of CO2 (e.g., stomatal density, photosynthetic/respiratory rates, foliar protein concentrations, growth, and resource allocation).
Teaching Biodiversity with Museum Specimens in an Inquiry-Based LabLearning ObjectivesStudents completing this lab module will:
- Learn how to appropriately handle and measure museum specimens.
- Develop the necessary statistical skills to analyze museum specimen data.
- Become familiar with how to search an online museum database and integrate supplemental data with their own dataset.
- Strengthen scientific communication skills by presenting research to their peers.
- Demonstrate ability to investigate scientific questions and address obstacles that occur during data collection and integration.
- Increase proficiency in managing and using large datasets for scientific research.
- Make connections between natural history knowledge and morphology of organisms in developing and testing hypotheses.
Using Place-Based Economically Relevant Organisms to Improve Student Understanding of the Roles of Carbon Dioxide,...Learning ObjectivesAt 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.
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.