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Scientific process skills.
Junisa Jusu (J. Grate)
2 hours ago
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Scientific process skills.
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ChatGPT
2 hours ago
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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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Google Gemini AI
2 hours ago
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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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