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Course
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Key Scientific Process Skills
- (-) Remove Predicting outcomes filter Predicting outcomes
- Analyzing data (2) Apply Analyzing data filter
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Principles of How People Learn
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Assessment Type
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Science Process Skills
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A Short Laboratory Module to Help Infuse Metacognition during an Introductory Course-based Research Experience
Learning 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.
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Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans
Learning Objectives- Use biological databases to generate and compare lists of predicted miR targets, and obtain the mRNA sequence of their selected candidate gene
- Use bioinformatics tools to design and optimize primer sets for qPCR