You are here
Search found 6 items
- (-) Remove Introductory Biology filter Introductory Biology
- (-) Remove Homework filter Homework
- (-) Remove Introductory filter Introductory
- (-) Remove Predicting outcomes filter Predicting outcomes
- (-) Remove Ability to use quantitative reasoning filter Ability to use quantitative reasoning
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).
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.
Linking Genotype to Phenotype: The Effect of a Mutation in Gibberellic Acid Production on Plant GerminationLearning ObjectivesStudents will be able to:
- identify when germination occurs.
- score germination in the presence and absence of GA to construct graphs of collated class data of wild-type and mutant specimens.
- identify the genotype of an unknown sample based on the analysis of their graphical data.
- organize data and perform quantitative data analysis.
- explain the importance of GA for plant germination.
- connect the inheritance of a mutation with the observed phenotype.
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.
Discovering Prokaryotic Gene Regulation with Simulations of the trp OperonLearning ObjectivesStudents will be able to:
- Perturb and interpret simulations of the trp operon.
- Define how simulation results relate to cellular events.
- Describe the biological role of the trp operon.
- Describe cellular mechanisms regulating the trp operon.
- Explain mechanistically how changes in the extracellular environment affect the trp operon.
- Define the impact of mutations on trp operon expression and regulation.