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Table 2 Student learning goals and outcomes Goals Outcomes Concepts I List the requirements for different mechanisms of evolution, explaining how stages in the differently performed simulations illustrate each.
Following an in-class worksheet, students will subject their populations to different mechanisms of evolution and observe the consequences firsthand.
Our interpretation is that, when students, such as those in the control courses, are moving through Stage 2, they are actually expanding what they know about evolution by recognizing that many different mechanisms of evolution exist.
In the learning framework hypothesized by Andrews et al. (2012), students begin to recognize different mechanisms of evolution (Stage 2) before they learn content specific to genetic drift (Stage 3); this is the pattern that we observed in students in the control courses.
Students in Stage 2 are beginning to recognize that there are different mechanisms of evolution, but they often confuse these mechanisms, frequently trying to explain everything as natural selection, e.g., "Genetic drift occurs to eliminate the less adaptable trait that is not well suitable to the environment" (Andrews et al. 2012: 252).
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The three models presented here capture different mechanisms of CRISPR evolution, namely polarized addition of spacers and deletion of multiple successive spacers (Table 1).
In contrast, no obvious differences were observed in the levels of conservation between the center and extremities of the CV genomes, suggesting a different mechanism of genome evolution in this viral clade.
Since it is observed from Figure 1 that different mechanisms of grain growth impart different natures of evolution of grain shapes, it can be inferred from Figures 1 and 3 that different natures of evolution of the grain shapes impart different natures of evolution on the mechanical properties.
It can be observed from Figure 1 that different mechanisms of grain growth impart different natures of evolution of grain shape.
Patterns of between-host evolution do not just reflect a rescaling of within-host patterns (Gog et al., 2014), and capturing different mechanisms for evolution at multiple scales within phylodynamic models presents a significant challenge to the field.
It can be observed that different mechanisms of grain growth impart different natures of evolutions on yield stress, strain and strain rate.
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