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.

K–2 Competencies

Understand that data can show some things but not others. e.g., categorizing the colors worn in a kindergarten class does not indicate the clothing item or size

K-2.A.1.4a

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Getting Started

Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

3–5 Competencies

Select variables of interest for data investigations while recognizing those selections will retain inherent limits.

3-5.A.1.4a

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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

6–8 Competencies

Specify ways that data provide incomplete information relative to the object being studied.

6-8.A.1.4a

Approach data and evidence-based claims with reasonable skepticism and apply the process of evaluating the validity of claims while remaining open-minded.

6-8.A.1.4b

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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

9–10 Competencies

Evaluate claims derived from data by questioning how phenomena are measured, categorized, or represented.

9-10.A.1.4a

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Getting Started
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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

11–12 Competencies

Design and compare alternative data representations, justifying choices to address inherent uncertainty.

11-12.A.1.4a

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Getting Started
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Data Science Starter Kit - Module 1: Data Dispositions and Responsibilities

Welcome to the foundation of data science education! This module focuses on developing the right mindset for working with data—both for you and your students.🔗

Data Dispositions and Responsibilities isn’t about memorizing definitions or learning technical skills. It’s about cultivating curiosity, healthy skepticism, and ethical thinking. These are the habits of mind that make everything else in data science meaningful and responsible.

Classroom resources

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