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Dispositions & Responsibility
Nature of Data
Substrand A1

Nature of Data

The nature of data is complex, variably, humanistic, and often incomplete. Data can take many forms and may come from many different sources. Additionally, data is integral to the field of AI.

Substrand A1

Nature of Data

The nature of data is complex, variably, humanistic, and often incomplete. Data can take many forms and may come from many different sources. Additionally, data is integral to the field of AI.

Concept A1.1
Concept A1.1

Data types & forms

Recognize that data can exist as quantitative, ordinal, categorical, and other values. Data also can be “nontraditional” forms such as graphical or other media.

Concept A1.1
Concept A1.1

Data types & forms

Recognize that data can exist as quantitative, ordinal, categorical, and other values. Data also can be “nontraditional” forms such as graphical or other media.

Concept A1.2
Concept A1.2

Data are produced by people

Recognize that data represent decisions about measurement and inclusion involving people who are and are not immediately present.

AI Literacy
Concept A1.2
Concept A1.2

Data are produced by people

Recognize that data represent decisions about measurement and inclusion involving people who are and are not immediately present.

AI Literacy
Concept A1.3
Concept A1.3

Variability of data

Recognize that variability is a foundational component of data.

Concept A1.3
Concept A1.3

Variability of data

Recognize that variability is a foundational component of data.

Concept A1.4
Concept A1.4

Data provides partial information

Recognize that data captures certain aspects of a model of a target phenomenon or set of objects in the world but does not represent it completely.

Concept A1.4
Concept A1.4

Data provides partial information

Recognize that data captures certain aspects of a model of a target phenomenon or set of objects in the world but does not represent it completely.

Concept A1.5
Concept A1.5

Data & AI

Recognize that data “fuels” AI, that AI can be compared to a function machine (math), algorithm (CS), or a prediction model (statistics) that relies on data to both operate and improve itself, and that AI tools can also be used to analyze complex data in research.

Concept A1.5
Concept A1.5

Data & AI

Recognize that data “fuels” AI, that AI can be compared to a function machine (math), algorithm (CS), or a prediction model (statistics) that relies on data to both operate and improve itself, and that AI tools can also be used to analyze complex data in research.

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