Making Observations
- Make observations
- Describe what you see/hear/feel/smell/taste
- Identify parts of a system
- Identifying variables
- Quantifying stuff/data (assigning numbers to observations)
- Comparing/contrasting observations
- Similarities of things
- Differences of things
- Communicating observations
- Discussing observations
- Organizing/Categorizing observations
- Changing perspectives
- Changing scale/proportion/speed/timescale you are observing
- Using a third party
- Using multiple senses
- Finding patterns
- Making connections
- Using prior knowledge
- Connect to real world
- Using tools to enhance observations
- Making sure that observations are relevant
- Change scale/proportion/quantity/speed of the object (investigations?)
Asking Questions
- Ask questions
- Asking non-testable questions (fact-based, opinion etc)
- Asking testable questions
- Turning a non-testable questions into question
- Asking questions about functions
- Asking questions about patterns
- Making sure that questions are relevant
- Asking why things act the way they do
- Asking what I can do to go further
- Asking what other resources can I use
- Asking goal-oriented questions
- Asking questions to test a model
- Asking what happens to the system when a variable is changed
- What if questions?
- Cause and effect questions?
- Analyzing data data to ask a question?
- Asking evidence-driven questions
- Asking observation-drive questions
Planning and Carrying out Investigations
- Identify something testable
- Make a claim
- Using prior knowledge
- Forming a hypothesis
- Anticipating outcome (making a prediction)
- Identify variables relevant to investigation
- Isolating variables
- Manipulating variable
- Collecting data
- Identifying function and stability
- Think about real world applications
- Iteration
- Asking questions and refining
- Evaluate materials resources and time
- Constraints and criteria
- Identify problem or challenge
- Planning an investigation that addresses a problem or challenge
- Recruit assistance/assistants
- Determine type of data to collect (Qualitative or quantitative)
- Using senses
- Carrying out investigation with precision
- Carrying out investigation as planned
- Not being biased (scientific objectivity)
Analyzing and Interpreting Data
- Organizing data
- Identify patterns
- Identify data type and source
- Determine data collection method
- Identify and interpret variables
- Generate and analyze graphs
- Drawing conclusions
- Assessing prior predictions
- Have you answered the testable question?
- Identify cause and effect
- Identify outliers/anomalies and what to do with them
- Filtering data for what is relevant
- Comprehension and understanding data
- Ensure accuracy of data identify errors
- Identify usefulness and purpose
- Understand scale of data
- Looking at data from different perspectives
Developing and Using Models
- Making predictions
- Using prior knowledge
- Using patterns
- Identifying patterns
- Based on variables
- Cause and effect
- Identifying subsystems within model
- Connecting to real life or previously known models
- Determining model type (Physical vs mental)
- Test model
- Building model
- Combining model
- Making a mental model into a physical model
- Represent your mental model somehow (math, diagram, physical)
- Comparing models
- Apply model to abstract concepts
- Determine functionality of model
- Manipulating variables and controlling variables
- Improving models
- Explain evidence that supports or does not support a model
- Explaining the limits of a model
- Justify a prediction based on patterns in evidence
- Use a model to make a prediction
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