Concept A3.4

Apply context

Recognize that the context surrounding the data and the investigation shapes interpretation. Many fields (biology vs. psychology; economics vs. sociology) have created very different frameworks to organize problems. Considering multiple approaches may reveal useful insights from the same data.

K–2 Competencies

Share data and interpretations with others.

K-2.A.3.4a

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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.

3–5 Competencies

Recognize that data interpretation varies across social and cultural contexts.

3-5.A.3.4a

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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

Explain data interpretations from various disciplinary and community perspectives (e.g., social studies, families).

6-8.A.3.4a

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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.

9–10 Competencies

ReInterpret data from multiple perspectives, disciplines, and historical frames of reference.

9-10.A.3.4a

Compare and contrast problem solving approaches and the resulting findings.

9-10.A.3.4b

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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.

11–12 Competencies

Interpret data drawn from different fields and topics based on accepted norms within those fields.

11-12.A.3.4a

Compare multiple problem-solving approaches, and identify how those differences may compound over time and when repeated.

11-12.A.3.4b

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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.

Classroom resources

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