You are here
Search found 7 items
- (-) Remove Interpret data filter Interpret data
- (-) Remove University filter University
- (-) Remove Synthesis/Evaluation/Creation filter Synthesis/Evaluation/Creation
- (-) Remove Collaborative Work filter Collaborative Work
- (-) Remove Interactive Lecture filter Interactive Lecture
- (-) Remove Motivates student to learn material filter Motivates student to learn material
Out of Your Seat and on Your Feet! An adaptable course-based research project in plant ecology for advanced studentsLearning ObjectivesStudents will:
- Articulate testable hypotheses. (Lab 8, final presentation/paper, in-class exercises)
- Analyze data to determine the level of support for articulated hypotheses. (Labs 4-7, final presentation/paper)
- Identify multiple species of plants in the field quickly and accurately. (Labs 2-3, field trip)
- Measure environmental variables and sample vegetation in the field. (Labs 2-3, field trip)
- Analyze soil samples using a variety of low-tech lab techniques. (Open labs after field trip)
- Use multiple statistical techniques to analyze data for patterns. (Labs 4-8, final presentation/paper)
- Interpret statistical analyses to distinguish between strong and weak interactions in a biological system. (Labs 4-7, final presentation/paper)
- Develop and present a conference-style presentation in a public forum. (Lab 8, final presentation/paper)
- Write a publication-ready research paper communicating findings and displaying data. (Lab 8, final presentation/paper)
The Science Behind the ACTN3 PolymorphismLearning ObjectivesThis article accompanies the lesson "The ACTN3 Polymorphism: Applications in Genetics and Physiology Teaching Laboratories." Learning objectives for the lesson include:
- Test hypotheses related to the role of ACTN3 in skeletal muscle function.
- Explain how polymorphic variants of the ACTN3 gene affect protein structure and function.
- List and explain the differences between fast twitch and slow twitch muscle fibers.
- List and explain possible roles of the ACTN3 protein in skeletal muscle function.
- Find and analyze relevant scientific publications about the relationship between ACTN3 genotype and muscle function.
- Formulate hypotheses related to the relationship between ACTN3 genotype and skeletal muscle function.
- Design experiments to test hypotheses about the role of ACTN3 in skeletal muscle function.
- Statistically analyze experimental results using relevant software.
- Present experimental results in writing.
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
What do Bone and Silly Putty® have in Common?: A Lesson on Bone ViscoelasticityLearning Objectives
- Students will be able to explain how the anatomical structure of long bones relates to their function.
- Students will be able to define viscoelasticity, hysteresis, anisotropy, stiffness, strength, ductility, and toughness.
- Students will be able to identify the elastic and plastic regions of a stress-strain curve. They will be able to correlate each phase of the stress-strain curve with physical changes to bone.
- Students will be able to predict how a bone would respond to changes in the magnitude of an applied force, and to variations in the speed or angle at which a force is applied.
- Students will be able to determine the reason(s) why bone injuries occur more frequently during athletic events than during normal everyday use.
CURE-all: Large Scale Implementation of Authentic DNA Barcoding Research into First-Year Biology CurriculumLearning ObjectivesStudents will be able to: Week 1-4: Fundamentals of Science and Biology
- List the major processes involved in scientific discovery
- List the different types of scientific studies and which types can establish causation
- Design experiments with appropriate controls
- Create and evaluate phylogenetic trees
- Define taxonomy and phylogeny and explain their relationship to each other
- Explain DNA sequence divergence and how it applies to evolutionary relationships and DNA barcoding
- Define and measure biodiversity and explain its importance
- Catalog organisms using the morphospecies concept
- Geographically map organisms using smartphones and an online mapping program
- Calculate metrics of species diversity using spreadsheet software
- Use spreadsheet software to quantify and graph biodiversity at forest edges vs. interiors
- Write a formal lab report
- Extract, amplify, visualize and sequence DNA using standard molecular techniques (PCR, gel electrophoresis, Sanger sequencing)
- Explain how DNA extraction, PCR, gel electrophoresis, and Sanger sequencing work at the molecular level
- Trim and assemble raw DNA sequence data
- Taxonomically identify DNA sequences isolated from unknown organisms using BLAST
- Visualize sequence data relationships using sequence alignments and gene-based phylogenetic trees
- Map and report data in a publicly available online database
- Share data in a formal 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.
Using QIIME to Interpret Environmental Microbial Communities in an Upper Level Metagenomics CourseLearning ObjectivesStudents will be able to:
- list and perform the steps of sequence processing and taxonomic inference.
- interpret microbial community diversity from metagenomic sequence datasets.
- compare microbial diversity within and between samples or treatments.