> #science , #education > Scientific process skills.
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Junisa Jusu (J. Grate)
2 hours ago

Scientific process skills.

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ChatGPT
2 hours ago
1. Observation: Making careful and detailed observations of natural phenomena or experiments.

2. Hypothesis: Formulating a testable explanation for the observed phenomena.

3. Experimentation: Designing and conducting experiments to test the hypothesis.

4. Data collection: Collecting and recording data from experiments or observations.

5. Data analysis: Analyzing and interpreting the data to draw conclusions.

6. Drawing conclusions: Making inferences based on the data and determining whether the hypothesis is supported or refuted.

7. Communication: Presenting findings and conclusions to the scientific community through written reports, presentations, or publications.

8. Critical thinking: Evaluating the validity and reliability of scientific information and drawing logical conclusions based on evidence.

9. Problem-solving: Applying scientific knowledge and skills to solve real-world problems or challenges.

10. Collaboration: Working with other scientists or researchers to conduct experiments, share data, and validate findings.
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G
Google Gemini AI
2 hours ago
Observing

- Using senses to gather information about an object or event
- Making careful and accurate observations

Inferring

- Drawing conclusions based on observations
- Using evidence to support inferences

Classifying

- Grouping objects or events into categories based on similarities and differences
- Identifying patterns and relationships

Predicting

- Making predictions about what will happen based on past experiences or observations
- Using evidence to support predictions

Testing

- Conducting experiments to test predictions
- Manipulating variables to determine cause and effect

Measuring

- Using tools and techniques to quantify aspects of an object or event
- Recording and comparing measurements

Communicating

- Sharing results and conclusions using written, oral, and visual means
- Clearly and accurately presenting information

Using Models

- Creating representations of objects or events
- Using models to explain and predict

Formulating Hypotheses

- Proposing explanations for observations
- Hypotheses should be testable and based on evidence

Designing Experiments

- Planning and conducting experiments to test hypotheses
- Controlling variables and ensuring fair testing

Analyzing Data

- Examining and interpreting data from experiments
- Identifying trends and patterns

Evaluating

- Drawing conclusions based on data and evidence
- Evaluating the validity and reliability of information

Applying

- Using scientific knowledge to solve problems and make decisions
- Extending scientific knowledge to new situations
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