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Bloom's Cognitive Level
Vision and Change Core Competencies
Vision and Change Core Concepts
Key Scientific Process Skills
Principles of How People Learn
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.
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 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.
Antibiotic Resistance Genes Detection in Environmental SamplesLearning ObjectivesAfter completing this laboratory series, students will be able to:
- apply the scientific method in formulating a hypothesis, designing a controlled experiment using appropriate molecular biology techniques, and analyzing experimental results;
- conduct a molecular biology experiment and explain the principles behind methodologies, such as accurate use of micropipettes, PCR (polymerase chain reaction), and gel electrophoresis;
- determine the presence of antibiotic-resistance genes in environmental samples by analyzing PCR products using gel electrophoresis;
- explain mechanisms of microbial antibiotic resistance;
- contribute data to the Antibiotic Resistance Genes Network;
- define and apply key concepts of antibiotic resistance and gene identification via PCR fragment size.
Follow the Sulfur: Using Yeast Mutants to Study a Metabolic PathwayLearning ObjectivesAt the end of this lesson, students will be able to:
- use spot plating techniques to compare the growth of yeast strains on solid culture media.
- predict the ability of specific met deletion strains to grow on media containing various sulfur sources.
- predict how mutations in specific genes will affect the concentrations of metabolites in the pathways involved in methionine biosynthesis.
A first lesson in mathematical modeling for biologists: RocsLearning Objectives
- Systematically develop a functioning, discrete, single-species model of an exponentially-growing or -declining population.
- Use the model to recommend appropriate action for population management.
- Communicate model output and recommendations to non-expert audiences.
- Generate a collaborative work product that most individuals could not generate on their own, given time and resource constraints.
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.
Using Synthetic Biology and pClone Red for Authentic Research on Promoter Function: Introductory Biology (identifying...Learning Objectives
- Describe how cells can produce proteins at the right time and correct amount.
- Diagram how a repressor works to reduce transcription.
- Diagram how an activator works to increase transcription.
- Identify a new promoter from literature and design a method to clone it and test its function.
- Successfully and safely manipulate DNA and Escherichia coli for ligation and transformation experiments.
- Design an experiment to verify a new promoter has been cloned into a destination vector.
- Design an experiment to measure the strength of a promoter.
- Analyze data showing reporter protein produced and use the data to assess promoter strength.
- Define type IIs restriction enzymes.
- Distinguish between type II and type IIs restriction enzymes.
- Explain how Golden Gate Assembly (GGA) works.
- Measure the relative strength of a promoter compared to a standard promoter.
Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active TeachingLearning Objectives
- From raw RNAseq data, run a basic analysis culminating in a list of differentially expressed genes.
- Explain and evaluate statistical tests in RNAseq data. Specifically, given the output of a particular test, students should be able to interpret and explain the result.
- Use the Linux command line to complete specified objectives in an RNAseq workflow.
- Generate meaningful visualizations of results from new data in R.
- (In addition, each chapter of this lesson plan contains more specific learning objectives, such as “Students will demonstrate their ability to map reads to a reference.”)
Bad Cell Reception? Using a cell part activity to help students appreciate cell biology, with an improved data plan and...Learning Objectives
- Identify cell parts and explain their function
- Explain how defects in a cell part can result in human disease
- Generate thought-provoking questions that expand upon existing knowledge
- Create a hypothesis and plan an experiment to answer a cell part question
- Find and reference relevant cell biology journal articles
Using Pathway Maps to Link Concepts, Peer Review, Primary Literature Searches and Data Assessment in Large Enrollment...Learning Objectives
- Define basic concepts and terminology of Ecosystem Ecology
- Link biological processes that affect each other
- Evaluate whether the link causes a positive, negative, or neutral effect
- Find primary literature
- Identify data that correctly supports or refutes an hypothesis
Does it pose a threat? Investigating the impact of Bt corn on monarch butterfliesLearning ObjectivesStudents will be able to:
- Apply genetics concepts to a relevant case study of Bt corn and monarch butterflies
- Read figures and text from primary literature
- Identify claims presented in scientific studies
- Evaluate data presented in scientific studies
- Critically reason using data
- Evaluate the consequences of GM technology on non-target organisms
- Communicate scientific data orally
Homologous chromosomes? Exploring human sex chromosomes, sex determination and sex reversal using bioinformatics...Learning ObjectivesStudents successfully completing this lesson will:
- Practice navigating an online bioinformatics resource and identify evidence relevant to solving investigation questions
- Contrast the array of genes expected on homologous autosomal chromosomes pairs with the array of genes expected on sex chromosome pairs
- Use bioinformatics evidence to defend the definition of homologous chromosomes
- Define chromosomal sex and defend the definition using experimental data
- Investigate the genetic basis of human chromosomal sex determination
- Identify at least two genetic mutations can lead to sex reversal
Modeling the Research Process: Authentic human physiology research in a large non-majors courseLearning ObjectivesStudents will be able to:
- Read current scientific literature
- Formulate testable hypotheses
- Design an experimental procedure to test their hypothesis
- Make scientific observations
- Analyze and interpret data
- Communicate results visually and orally
You and Your Oral Microflora: Introducing non-biology majors to their “forgotten organ”Learning ObjectivesStudents will be able to:
- Explain both beneficial and detrimental roles of microbes in human health.
- Compare and contrast DNA replication as it occurs inside a cell versus in a test tube
- Identify an unknown sequence of DNA by performing a BLAST search
- Navigate sources of scientific information to assess the accuracy of their experimental techniques