# data[].attributes.body
Science begins with asking questions. This practice involves asking questions about data, claims that are made, and proposed designs. These questions usually lead to further analysis and interpretation, planning and design, investigation, or refinement of a design.

# data[].attributes.body
An example of this happening in a lesson would be creating a driving question as a class for project based learning.

# data[].attributes.body
Models can be used to represent a system under study, aid in the development of questions and explanations, to generate data used to make predictions, and to communicate ideas to others. Examples of models are diagrams, physical replicas, mathematical representations, analogies, and computer simulations.

# data[].attributes.body
An example of this being used in a lesson would be creating some sort of model to show patterns in the natural world.

# data[].attributes.body
Scientific investigations are used to describe a phenomenon or to test a theory or model. Planning and carrying out investigations requires the student to state the goal of the investigation, predict outcomes, and plan a course of action that will provide the best evidence to support the conclusion of their investigation.

# data[].attributes.body
An example of this being used in a lesson would be having the students conduct a scientific experiment to help them better understand a scientific concept.

# data[].attributes.body
Analyzing and interpreting data includes using a range of tools for tabulation,
graphical representation, visualization, and statistical analysis. Students can interpret data by identifying significant features and patterns, use mathematics to represent
relationships between variables, and take into account sources of error. It is important students present data as evidence to support their conclusions.

# data[].attributes.body
An example of this being used in a lesson would be creating an interactive notebook foldable to present data from an experiment conducted in class.

# data[].attributes.body
Mathematics are used in science to represent physical variables and their relationships, to
make quantitative predictions, as well as applying logic, geometry, and at the highest levels, calculus. Mathematics is a key tool to understanding science.

# data[].attributes.body
An example of this being used in a lesson would be using mathematics to make quantitative estimates in an experiment.

# data[].attributes.body
Constructing explanations to explain phenomena is the goal of science. Constructing explanations includes a claim that relates how a variable or variables relate to another variable or variables.

# data[].attributes.body
An example of this being used in a lesson would be a teacher having the students construct their own explanation or conclusion to what happened in the science experiment they conducted in class.

# data[].attributes.body
Engaging in argument based on evidence is important to science. Reasoning and arguing on evidence is how the best solution to a problem is identified. Argumentation can also be used to listen to, compare, and evaluate competing ideas.

# data[].attributes.body
An example of this being used in a lesson would be having students in groups discuss what happened during a science experiment and make arguments based on evidence they recorded to come up with the best solution to the problem.

# data[].attributes.body
Obtaining, evaluating, and communicating information includes being able to read, interpret, and produce scientific text. Communicating information can be done in several different ways. Some examples are using tables, diagrams, graphs, models, etc.

# data[].attributes.body
An example of this being used in a lesson would be having the students read a scientific text and find evidence in the article that would support the conclusion they made to an experiment conducted in class.