Table 3.

Next Generation Science Standards (NGSS) (AAAS, 2011) Science and Engineering Practices, Crosscutting Concepts, and ACT College Readiness Standards (for scores 28-32, ACT, Inc. 2014). Practices, concepts, and standards in bold and in dark gray boxes are covered when using Data Nugget resources. Boxes in light gray represent content-specific objectives and may be covered using specific Data Nugget worksheets.

NGSS Science & Engineering PracticesNGSS Crosscutting ConceptsACT College Readiness Standards
Asking questions and defining problems Patterns: Observed patterns of forms and events guide organization and classification, and prompt questions about relationships. Interpreting data: Compare or combine data from a simple data presentation with data from a complex data presentation.
Developing and using models Cause and effect: Mechanism and explanation. A major activity of science is investigating and explaining causal relationships and the mechanisms by which they are mediated. Interpreting data: Identify and/or use a complex mathematical relationship between data.
Planning and carrying out investigation Scale, proportion, and quantity: It is critical to recognize what is relevant at different measures of size, time, and energy. Interpreting data: Extrapolate from data points in a table or graph.
Analyzing and interpreting data Systems and system models: Defining the system under study provides tools for understanding and testing ideas. Scientific Investigation: Determine the hypothesis for an experiment.
Using mathematics and computational thinking Energy and matter: Flows, cycles, and conservation. Scientific Investigation: Identify an alternative method for testing a hypothesis.
Constructing explanations and designing solutions Structure and function: The way in which an object or living thing is shaped and its substructure determine many of its properties and functions. Evaluation: Select a complex hypothesis, prediction, or conclusion that is supported by a data presentation or model.
Engaging in argument from evidence Stability and change: Conditions of stability and determinants of rates of change or evolution of a system are critical elements of study. Evaluation: Determine whether new information supports or weakens a model and why.
Obtaining, evaluating, and communicating information  Evaluation: Use new information to make a prediction based on a model.
NGSS Science & Engineering PracticesNGSS Crosscutting ConceptsACT College Readiness Standards
Asking questions and defining problems Patterns: Observed patterns of forms and events guide organization and classification, and prompt questions about relationships. Interpreting data: Compare or combine data from a simple data presentation with data from a complex data presentation.
Developing and using models Cause and effect: Mechanism and explanation. A major activity of science is investigating and explaining causal relationships and the mechanisms by which they are mediated. Interpreting data: Identify and/or use a complex mathematical relationship between data.
Planning and carrying out investigation Scale, proportion, and quantity: It is critical to recognize what is relevant at different measures of size, time, and energy. Interpreting data: Extrapolate from data points in a table or graph.
Analyzing and interpreting data Systems and system models: Defining the system under study provides tools for understanding and testing ideas. Scientific Investigation: Determine the hypothesis for an experiment.
Using mathematics and computational thinking Energy and matter: Flows, cycles, and conservation. Scientific Investigation: Identify an alternative method for testing a hypothesis.
Constructing explanations and designing solutions Structure and function: The way in which an object or living thing is shaped and its substructure determine many of its properties and functions. Evaluation: Select a complex hypothesis, prediction, or conclusion that is supported by a data presentation or model.
Engaging in argument from evidence Stability and change: Conditions of stability and determinants of rates of change or evolution of a system are critical elements of study. Evaluation: Determine whether new information supports or weakens a model and why.
Obtaining, evaluating, and communicating information  Evaluation: Use new information to make a prediction based on a model.
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