The series of lessons allows students to review the concepts of mutations, adaptations and natural selection by studying a population of pocket mice through a video clip and then applying their knowledge through a simulation game.

Using the Hardy-Weinberg equation to calculate allele and genotype frequencies. Created by Sal Khan.

This a remix of Bean-Counter Evolution found at https://goopenva.org/courses/bean-counter-evolution, suggesting some modifications and extensions that could be used.

Students toss coins to determine what traits a set of mouse parents possess, such as fur color, body size, heat tolerance, and running speed. Then they use coin tossing to determine the traits a mouse pup born to these parents possesses. Then they compare these physical features to features that would be most adaptive in several different environmental conditions. Finally, students consider what would happen to the mouse offspring if those environmental conditions were to change: which mice would be most likely to survive and produce the next generation?

This 18-minute video lesson provides an introduction to evolution, variation in a population, and Natural Selection. [Biology playlist: Lesson 1 of 71].

This 13-minute video discusses how the Owl Butterfly may have gotten the spot on its wings. [Biology playlist: Lesson 5 of 71].

This 20-minute video lesson discusses how variation can be introduced into a species. [Biology playlist: Lesson 7 of 71].

Explore how populations change over time in a NetLogo model of sheep and grass. Experiment with the initial number of sheep, the sheep birthrate, the amount of energy sheep gain from the grass, and the rate at which the grass re-grows. Remove sheep that have a particular trait (better teeth) from the population, then watch what happens to the sheep teeth trait in the population as a whole. Consider conflicting selection pressures to make predictions about other instances of natural selection.

An overview of what happens when the conditions for Hardy-Weinberg equilibrium are not fulfilled. Created by Sal Khan.

Students learn about the amazing adaptations of the ptarmigan to the alpine tundra. They focus one adaptation, the feathered feet of the ptarmigan, and ask whether the feathers serve to only keep the feet warm or to also provide the bird with floatation capability. They create model ptarmigan feet, with and without feathers, and test the hypothesis on the function of the feathers. Ultimately, students make a claim about whether the feathers provide floatation and support this claim with their testing evidence.

In this out of class tutorial, students explore several examples of natural selection and speciation.

In this online activity, learners discover how random variation influences biological evolution. Biological evolution is often thought of as a process by which adaptation is generated through selection.Œć While it is recognized that random variation underlies the process, emphasis is usually placed on selection and resulting adaptation, leaving a sense that it is selection that drives evolution.Œć This simulation highlights the creative role of random variation, offering a somewhat different perspective: that of evolution as open-ended exploration driven by randomness and constrained by selection, with adaptation as a dynamic, transient consequence rather than an objective.

Students are introduced to the concepts of digital organisms and digital evolution. They learn about the research that digital evolution software makes possible, and compare and contrast it with biological evolution.

A hypothetical scenario is introduced in which the class is asked to apply their understanding of the forces that drive natural selection to prepare a proposal along with an environmental consulting company to help clean up an area near their school that is contaminated with trichloroethylene (TCE). Students use the Avida-ED software application to test hypotheses for evolving (engineering) a strain of bacteria that can biodegrade TCE, resulting in a non-hazardous clean-up solution. Conduct this design challenge activity after completion of the introduction to digital evolution activity, Studying Evolution with Digital Organisms.

In the engage section of the 5Elesson, students are introduced to the role of fossils as evidence of evolution and evolutionary relationships by watching a videos about the discovery of Lucy and Ardi and consider what type of information that they can gain from skull fossils. Students will then explore features of skulls from human ancestors and the modern day Homo sapien. After measuring skull to cheekbone ratios, students will create a graph to compare various species. Several interactives are provided to explain fossils, skeletal evidence for human evolution, and phylogenetic trees. Then, students will apply their skills of analyzing data about anatomical similarities and genetic information to depict evolutionary relationships between organisms using cladograms. To evaluate student understanding, students will complete an evolutionary relationships CER.

This equation relates allele frequencies to genotype frequencies for populations in Hardy-Weinberg equilibrium. Created by Sal Khan.

Students are introduced to the concepts of evolution by natural selection and digital evolution software. They learn about the field of evolutionary computation, which applies the principles of natural selection to solve engineering design problems. They learn the similarities and differences between natural selection and the engineering design process.

Students explore the relationships between genetics, biodiversity, and evolution through a simple activity involving hypothetical wild mouse populations. First, students toss coins to determine what traits a set of mouse parents possesses, such as fur color, body size, heat tolerance, and running speed. Next they use coin tossing to determine the traits a mouse pup born to these parents possesses. These physical features are then compared to features that would be most adaptive in several different environmental conditions. Finally, students consider what would happen to the mouse offspring if those environmental conditions were to change: which mice would be most likely to survive and produce the next generation?

Students perform an activity similar to the childhood “telephone” game in which each communication step represents a biological process related to the passage of DNA from one cell to another. This game tangibly illustrates how DNA mutations can happen over several cell generations and the effects the mutations can have on the proteins that cells need to produce. Next, students use the results from the “telephone” game (normal, substitution, deletion or insertion) to test how the mutation affects the survivability of an organism in the wild. Through simple enactments, students act as “predators” and “eat” (remove) the organism from the environment, demonstrating natural selection based on mutation.

Paul Andersen (of BozemanScience.com) explains how natural selection is a major mechanism in evolution. Also included in this resource are links to worksheets and a full transcript of the video.

Transcript added from YouTube subtitles. You can use this to write your own worksheet or quiz.