You are here
Search found 12 items
- (-) Remove Lesson filter Lesson
- (-) Remove Assessment of individual student performance filter Assessment of individual student performance
- (-) Remove Think-Pair-Share filter Think-Pair-Share
- (-) Remove Predicting outcomes filter Predicting outcomes
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).
Evaluating the Quick Fix: Weight Loss Drugs and Cellular RespirationLearning Objectives
- Students will be able to explain how the energy from sugars is transformed into ATP via cellular respiration.
- Students will be able to predict an outcome if there is a perturbation in the cellular respiration pathway.
- Students will be able to state and evaluate a hypothesis.
- Students will be able to interpret data from a graph, and use that data to make inferences about the action of a drug.
Furry with a chance of evolution: Exploring genetic drift with tuco-tucosLearning Objectives
- Students will be able to explain how genetic drift leads to allelic changes over generations.
- Students will be able to demonstrate that sampling error can affect every generation, which can result in random changes in allelic frequency.
- Students will be able to explore and evaluate the effect of population size on the strength of genetic drift.
- Students will be able to analyze quantitative data associated with genetic drift.
A clicker-based case study that untangles student thinking about the processes in the central dogmaLearning ObjectivesStudents will be able to:
- explain the differences between silent (no change in the resulting amino acid sequence), missense (a change in the amino acid sequence), and nonsense (a change resulting in a premature stop codon) mutations.
- differentiate between how information is encoded during DNA replication, transcription, and translation.
- evaluate how different types of mutations (silent, missense, and nonsense) and the location of those mutations (intron, exon, and promoter) differentially affect the processes in the central dogma.
- predict the molecular (DNA size, mRNA length, mRNA abundance, and protein length) and/or phenotypic consequences of mutations.
An active-learning lesson that targets student understanding of population growth in ecologyLearning ObjectivesStudents will be able to:
- Calculate and compare population density and abundance.
- Identify whether a growth curve describes exponential, linear, and/or logistic growth.
- Describe and calculate a population's growth rate using linear, exponential, and logistic models.
- Explain the influence of carrying capacity and population density on growth rate.
Exploration of the Human Genome by Investigation of Personalized SNPsLearning ObjectivesStudents successfully completing this lesson will be able to:
- Effectively use the bioinformatics databases (SNPedia, the UCSC Genome Browser, and NCBI) to explore SNPs of interest within the human genome.
- Identify three health-related SNPs of personal interest and use the UCSC Genome Browser to define their precise chromosomal locations and determine whether they lie within a gene or are intergenic.
- Establish a list of all genome-wide association studies correlated with a particular health-related SNP.
- Predict which model organism would be most appropriate for conducting further research on a human disease.
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.
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.
Knowing your own: A classroom case study using the scientific method to investigate how birds learn to recognize their...Learning Objectives
- Students will be able to identify and describe the steps of the scientific method.
- Students will be able to develop hypotheses and predictions.
- Students will be able to construct and interpret bar graphs based on data and predictions.
- Students will be able to draw conclusions from data presented in graphical form.
Cell Signaling Pathways - a Case Study ApproachLearning Objectives
- Use knowledge of positive and negative regulation of signaling pathways to predict the outcome of genetic modifications or pharmaceutical manipulation.
- From phenotypic data, predict whether a mutation is in a coding or a regulatory region of a gene involved in signaling.
- Use data, combined with knowledge of pathways, to make reasonable predictions about the genetic basis of altered signaling pathways.
- Interpret and use pathway diagrams.
- Synthesize information by applying prior knowledge on gene expression when considering congenital syndromes.
A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research ExperienceLearning Objectives
- Students will be able to evaluate the strengths and weaknesses of data.
- Students will be able to employ prior knowledge in formulating a biological research question or hypothesis.
- Students will be able to distinguish a research question from a testable hypothesis.
- Students will recognize that the following are essential elements in experimental design: identifying gaps in prior knowledge, picking an appropriate approach (ex. experimental tools and controls) for testing a hypothesis, and reproducibility and repeatability.
- Students will be able to identify appropriate experimental tools, approaches and controls to use in testing a hypothesis.
- Students will be able to accurately explain why an experimental approach they have selected is a good choice for testing a particular hypothesis.
- Students will be able to discuss whether experimental outcomes support or fail to support a particular hypothesis, and in the case of the latter, discuss possible reasons why.
Teaching Genetic Linkage and Recombination through Mapping with Molecular MarkersLearning ObjectivesStudents will be able to:
- Explain how recombination can lead to new combinations of linked alleles.
- Explain how molecular markers (such as microsatellites) can be used to map the location of genes/loci, including what crosses would be informative and why.
- Explain how banding patterns on an electrophoresis gel represent the segregation of alleles during meiosis.
- Predict how recombination frequency between two linked loci affects the genotype frequencies of the products of meiosis compared to loci that are unlinked (or very tightly linked).
- Analyze data from a cross (phenotypes and/or genotypes) to determine if the cross involves linked genes.
- Calculate the map distance between linked genes using data from genetic crosses, such as gel electrophoresis banding patterns.
- Justify conclusions about genetic linkage by describing the information in the data that allows you to determine genes are linked.