Writing a/an hypothesis
If MANIPULATED then RESPONDING, because SCIENCE
- Scientific Hypothesis 3 points
- If-Then Statement (2 points): Makes a prediction on the change in the responding variable based on the changes to the manipulated variable.
- Correctly identifies manipulated and responding variable (1)
- Identifies the predicted relationship between the two variables. (1)
- Types of relationship:
- None (Output does not Change)
- Direct (Output Increases)
- Square (Output Increases Rapidly)
- Inverse (Output Decreases)
- Inverse Square (Output Decreases Rapidly)
- States supporting scientific idea relevant to the If-Then Statement (1 point)
Writing a Conclusion
- Conclusive Statement 5 points
- Conclusion Relates manipulated and responding variable (1)
- Conclusion correctly identifies the relationship between the two variables. (1)
- Student cites data from experiment (1)
- This should be actual data from the lab, not just "as you can see from the data"
- Evidence cited supports conclusive statement (1)
- Look at key data points. (i.e. when you double or triple an input, what did the output do?)
- Student cites supporting scientific idea relevant to the conclusion (1)
- Additionally, if you wrote a hypothesis for the investigation, then the first sentence in your conclusion must be a statement of support/non-support. I.e. "The Hypothesis was supported." Note: it is "THE" hypothesis not "MY" hypothesis and "SUPPORTED" not "CORRECT"
Diagram and Explain Questions
Diagram and explain questions require you to express a complex idea using images as well as text. Students often struggle with making appropriate diagrams. These are evaluated on a four point scale:
- 4 (EXCELLENT) - Diagram demonstrates a clear understanding of the concepts and enhances written information
- 3 (PROFICIENT)- Diagram relates to and supports written information
- 2 (BASIC) - Diagram is present and has little relationship to information
- 1 (UNSATISFACTORY)- Diagram is present but has no relationship to information
Data Analysis
A similar scale is used when evaluating students Data Analysis responses.- 4 -Demonstrates precise and clearly explained relationships using appropriate vocabulary (i.e. direct, inverse, square)
- 3 -Uses evidence/data to demonstrate an understanding of relationship between evidence/data and conclusions
- 2 -Cites evidence/data but weak understanding of relationship to conclusions
- 1- Didn’t cite evidence/data to support conclusions
No comments:
Post a Comment