Designing data-based investigations
Identify problems and formulate questions that guide meaningful data collection and analysis.
K–2 Competencies
Formulate simple questions that guide data collection and analysis about familiar contexts, using appropriate support.
Classroom resources
Data Science Day: "Pumpkin Patch Data"
Students explore measurement, sorting, and graphing through hands-on investigation of pumpkins and Halloween-themed items, discovering how scientists use data to compare and classify objects.
K-2 Sorting Toys
The purpose of this lesson is to introduce students to data collection, organization, and analysis through a hands-on survey about toy preferences. Students will learn to categorize data, create visual representations, and draw conclusions from their findings.
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
3–5 Competencies
Design an investigation requiring collection of data involving the collection or gathering of multiple variables.
Design an investigation that require collecting numerical data, including looking at a variable over a period of time.
Classroom resources
Data Science Day: "Pumpkin Patch Data"
Students explore measurement, sorting, and graphing through hands-on investigation of pumpkins and Halloween-themed items, discovering how scientists use data to compare and classify objects.
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
6–8 Competencies
Construct data-based questions that explore relationships between variables and consider how data collection methods affect the quality of evidence.
Classroom resources
Data Science Day: "Costume Survey Central"
Students design, conduct, and analyze surveys about Halloween preferences while learning about survey methodology, statistical analysis, and data-driven decision making used by businesses and researchers.
Timing the Swing by DataClassroom
The purpose of this lesson is to help students discover mathematical relationships in physics by analyzing pendulum motion data. Students will investigate how mass, length, and angle affect pendulum period through data visualization and regression analysis, culminating in solving a real-world physics problem using their mathematical model.
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
9–10 Competencies
Construct data-based questions about the design of a study to determine causality and make predictions.
Identify comparison and association data-based questions appropriate for addressing problems of interest.
Classroom resources
Data Science Day: "Halloween Economics"
Students analyze real economic data related to Halloween spending, consumer behavior, and entertainment industry trends using professional statistical methods and data science tools to understand market dynamics.
Finders Keepers by DataClassroom
The purpose of this lesson is to help students analyze cross-cultural data from a large-scale behavioral economics experiment investigating honesty across 40 countries. Students will interpret complex datasets, compare international patterns, and explore how experimental design in social science research can reveal insights about human behavior and cultural differences.
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
11–12 Competencies
Construct data-based questions that address complex systems with multiple interacting variables, including consideration of confounding factors and effect modifiers.
Design research questions that incorporate multiple levels of analysis and account for both direct and indirect relationships between variables.
Formulate questions that address the validity and reliability of data collection methods, including considerations of systematic bias and measurement error.
Classroom resources
Data Science Day: "Halloween Economics"
Students analyze real economic data related to Halloween spending, consumer behavior, and entertainment industry trends using professional statistical methods and data science tools to understand market dynamics.
Data Science Starter Kit Module 2: Getting Data Ready - Creation and Curation
Welcome to the hands-on world of data collection and organization! This module focuses on where data comes from and how to make it useful for investigation.🔗
Creation and Curation isn’t about turning your students into professional researchers. It’s about helping them understand that data doesn’t just appear—it’s collected by people making decisions about what to measure and how. Whether students are conducting their own surveys or using existing datasets, they need to understand how data gets from the messy real world into organized, analyzable formats.
Advanced Competencies
Classroom resources
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