Phase 4: Expert Metacognitive Prompts
Erin E. Peters
February 26, 2006
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Nature of Science Concept |
Expert Metacognitive Prompts |
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Scientific knowledge is durable, yet tentative |
· What did people long ago think about the phenomena you were studying? · How did people’s ideas change over time about the topic for your lab? · How can scientific knowledge be believed if it keeps changing over time? |
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Empirical evidence is used to support ideas in science |
· Can other people understand your observation out of context? · Is your observation free of any judgment? · Are your observations relevant to the purpose of the investigation? |
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Social and historical factors play a role in the construction of scientific knowledge |
· Was there any information that you learned elsewhere that helped you in the lab? What was the information and where did you learn it? · Did other groups point out ideas or processes that needed improvement? · How might you consider these areas of improvement in your next lab? |
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Laws and theories play a central role in developing scientific knowledge, yet they have different functions |
· What big ideas (theory) did you use to make sense of your observations? · What generalization did you develop because of your observations? · How do your observations support this generalization? · What do scientists understand about your generalization? · Has your thinking about the observations become more like an expert? |
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Accurate record keeping, peer review and replication of experiments help to validate scientific ideas |
· What categories make up the system you are using to classify? (For example: classifying by the system of color might result in the categories of red, blue and yellow) · Could other classification systems be more effective? · Does this classification system emphasize important features of the items? · Is your data organized to clearly illustrate your point? · Have you ignored any factors in taking the data? · Are all factors accounted for? |
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Science is a creative endeavor |
· How did you make sense of your data? What patterns and generalizations did you see in your results? · Do the results from your lab make sense with other experiences you had? · What kinds of thoughts did you need to think so that you could make a conclusion from your data? · Are there other ways you could explain what you saw in your results? · What made you choose your conclusions instead of other explanations? |
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Science and technology are not the same, but they impact each other |
· Does your measurement method have a standard to compare against? · How does your measurement interrupt the phenomena you are measuring? · What technologies are available to better describe the phenomena? · What degree of accuracy can your measurement method offer? |
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