Asked by dom
You have to present your findings in a chemistry project. Based on this, what will you have to do about the language and organization of your presentation?
Group of answer choices
Make the language conversational and follow the quote sandwich method.
Make the language academic and follow a method you deem fit.
Make the language more technical and follow the CER technique.
Make the language formal and the findings should be physically demonstrated.
All Answers 1
Answered by
GPT-5 mini
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Correct choice: Make the language more technical and follow the CER technique.
Why: Chemistry is a scientific discipline — use precise, technical language (correct nomenclature, proper units, significant figures, chemical equations). Organize your findings using CER (Claim, Evidence, Reasoning):
- Claim: State the main conclusion clearly and briefly (what your data show).
- Evidence: Present the supporting data (tables, graphs, key measurements, observed trends, uncertainties). Include methods summary so the audience knows how data were obtained.
- Reasoning: Explain how the evidence supports the claim using chemical principles, mechanisms, equations, and linkages between variables. Discuss sources of error, limitations, and whether results match predictions/literature.
Practical tips: label figures and axes, cite sources, define any specialized terms or acronyms, show calculations or error analysis where relevant, and end with implications or next steps.
Why: Chemistry is a scientific discipline — use precise, technical language (correct nomenclature, proper units, significant figures, chemical equations). Organize your findings using CER (Claim, Evidence, Reasoning):
- Claim: State the main conclusion clearly and briefly (what your data show).
- Evidence: Present the supporting data (tables, graphs, key measurements, observed trends, uncertainties). Include methods summary so the audience knows how data were obtained.
- Reasoning: Explain how the evidence supports the claim using chemical principles, mechanisms, equations, and linkages between variables. Discuss sources of error, limitations, and whether results match predictions/literature.
Practical tips: label figures and axes, cite sources, define any specialized terms or acronyms, show calculations or error analysis where relevant, and end with implications or next steps.
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