Thinking Like a Scientist Thinking Like a Scientist
- Slides: 39
Thinking Like a Scientist
Thinking Like a Scientist What are 5 skills scientists use to learn more about the world? Observing Inferring Predicting Classifying Making Models
Observations • An observation is the gathering of information by using our five senses: Sight
Observations • An observation is the gathering of information by using our five senses: Smell
Observations • An observation is the gathering of information by using our five senses: Hearing
Observations • An observation is the gathering of information by using our five senses: Taste
Observations • An observation is the gathering of information by using our five senses: Touch
Observations There are two types of observations ØQuantitative ØQualitative
Quantitative Observations • Quantitative observations measure what we observe. • “Quantitative” = quantity (numerical)
Quantitative Observations • These observations use numbers to measure something in a quantitative way. • Example: The flower has seven petals. • Example: You have 8 new emails.
Qualitative Observations • Qualitative observations describe what we observe. • “Qualitative” = quality (descriptive)
Qualitative Observations • These observations use adjectives to describe something. • Example: The flower has white petals. • Example: The lemon tastes sour
Which is better? • Both types of observations are valuable in science. • Qualitative: The road is long. (describes) • Quantitative: The road is 5 km long. (measures)
Which is better? • Sometimes scientists need to quantify qualitative observations. • For example, someone might say that a dead fish is smelly. • It is hard to know just how smelly the fish is though.
Which is better? • To make this quantitative, the scientist could ask the person to rate the “smelliness” on a scale of 1 -5. • This would then allow you to compare how smelly the fish is!
1 = Least Smelly 5 = Most Smelly
Qualitative or Quantitative? • There are 15 flowers with white petals- Quantitative • The email is long- Qualitative • The surface feels rough • The leaf is 9 cm long- Qualitative Quantitative
Inferences • When you explain or interpret the things you observe, you are inferring, or making an inference. • They are based on reasoning from what you already know
Inferences • Inferences are often changed when new observations are made. • Observations are information we gather directly through our five senses…. Inferences help explain those observations!
Here are some examples! • Observation: The grass on the school’s front lawn is wet. • Possible inferences: ØIt rained. ØThe sprinkler was on. ØThere is dew on the grass from the morning. ØA dog urinated on the grass!
Here are some examples! • Observation: The school fire alarm is going off. • Possible inferences: ØThe school is on fire. ØWe are having a fire drill. ØA student pulled the fire alarm.
Last one! • Observation: A student is sitting in the main office. • Possible inferences: ? Why might a student be sitting there?
Predicting • Making a forecast of what will happen in the future based on past experience or evidence
Predicting • Inferences are attempts to explain what is happening or has happened • Predictions are forecasts of what will happen
Predicting • What do you think will happen next?
Classifying • The process of grouping together items that are alike in some way
Classifying • Helps you stay organized • Organizing a notebook by subject and date helps you find things later
Classifying • Classifying complex behaviors makes it easier to study and compare
Making Models • Involves creating representations of complex objects or processes • Models help people study and understand things that are complex or that can’t be observed directly
Examples of Models • Globes • Charts • Movie sets • Maps • Pictures • Computer models • Diagrams
Making Models • Models are only representations of a real object or process • An object or process may be represented by many different types of models • Some information may be missing from a model
Examples of Models • A model that traces a chimp’s travel over the course of 1 day
Scientific Attitudes What is Science? • Science is a way of learning about the natural world • Successful scientists possess certain important attitudes, or habits of mind
Scientific Attitudes • Curiosity • Honesty • Open-Mindedness and Skepticism • Creativity
Scientific Attitudes • Curiosity • An important attitude that drives scientists • Question • Explore • Investigate
Scientific Attitudes • Honesty • Good Scientists always report their observations and results truthfully
Scientific Attitudes • Open-Mindedness and Skepticism • Scientists need to be open -minded – capable of accepting new and different ideas
Scientific Attitudes • Open-Mindedness and Skepticism • Scientists also need to be skeptical – having an attitude of doubt
Scientific Attitudes • Creativity • Coming up with inventive ways to solve problems or produce new things
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