Lesson 7
Data Analysis: Sense Making for Change
START
Teacher Notes
Teacher Notes
Purpose
Adapters Vs Adopters
Resource Requirements
Lesson Resources
Lesson Focus
Lesson Focus
Students will analyze data samples to gain a deeper understanding of how data analysis can be used to improve the human condition.
start
Index
Data Analysis: Sense Making for Change
What is data analysis?
Engagement
A Starting Point...
What's next?
What is data analysis?
A Brief History of Data Analysis
What is data analysis?
Data Analysis: Sense Making for Change
Governments use satellite imagery + household surveys + machine-learning models to map poverty at high resolution. Impact: Aid organizations can target the most vulnerable communities, improving cash-transfer efficiency and lifting more people out of poverty.
Farmers and agencies use weather, soil data, and remote sensing to predict crop yields. Impact: Prevents food shortages, reduces waste, and improves food security planning.
SDG 1 — No PovertyExample: Predicting Poverty Hotspots
SDG 2 — Zero HungerExample: Crop Yield Forecasting
Title
Title
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Subtitle
Subtitle
Teachers gather feedback and observe students’ emotional engagement—not just grades. Impact: Students who feel discouraged or invisible are noticed earlier, receiving the support that restores confidence and belonging.
Data from clinics, social media, and wastewater helps identify abnormal disease patterns quickly. Impact: Faster containment of diseases (e.g., COVID-19, dengue), saving lives.
Community members describe how water shortages impact daily life—long walks, missed school, and stress.Impact: Solutions center people’s dignity, prioritizing systems that reduce burden on women and children.
SDG 6 — Clean Water & SanitationExample: Reducing Burden on Women & Children
SDG 4 — Quality Education
SDG 3 — Good Health & Well-BeingExample: Early Disease Outbreak Detection
Title
Title
Title
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Example: Supporting Students
Subtitle
Subtitle
Subtitle
Engagement
Data Analysis- Improving Outdoor Learning Spaces
Task: Data Analysis
Teacher Notes
A Starting Point.....
Need more practice thinking about data analysis?
Teacher Notes
What's next?
Explore the resources in Step 7 to examine data analysis methods further. Steps 8 and 9 should be reviewed in conjunction with Steps 6 and 7 to ensure trustworthiness and ethical conduct.
Tas Idea
Lesson completed!
If you have questions or doubts, please reach out at irml@kennesaw.edu
Purpose: Students will use thematic analysis to analyze a sample data set and brainstorm potential uses for the preliminary findings. Scenario: The principal has invited student researchers to help administration understand students' experiences with outdoor learning spaces at your high school, so they can improve the quality of students' experiences. Research Teams will analyze a sample qualitative data set, determine themes, and make a recommendation to the principal based on the preliminary findings.
Task: Data Analysis
Preparation: Group students into research teams (3 to 4 per group). 1. Review the scenario to the left. 2. View the video Coding and Thematic Analysis as a class and discuss how thematic analysis can help to answer the research question: What is the overall student experience at X (your school) High Shcool with outdoor learning spaces? (10 minutes) 3. Conduct thematic analysis using the sample data set and the thematic analysis guide. 5. Discuss the preliminary findings. 6. Consider the limitations of the data set and discuss how the findings can be used to address the research question and improve students' experiences.
Research Question: What is the student experience at X (your school) High School with outdoor learning spaces?
Thematic Analysis Guide
Sample Data Set
Coding and Thematic Analysis
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Transcript
Lesson 7
Data Analysis: Sense Making for Change
START
Teacher Notes
Teacher Notes
Purpose
Adapters Vs Adopters
Resource Requirements
Lesson Resources
Lesson Focus
Lesson Focus
Students will analyze data samples to gain a deeper understanding of how data analysis can be used to improve the human condition.
start
Index
Data Analysis: Sense Making for Change
What is data analysis?
Engagement
A Starting Point...
What's next?
What is data analysis?
A Brief History of Data Analysis
What is data analysis?
Data Analysis: Sense Making for Change
Governments use satellite imagery + household surveys + machine-learning models to map poverty at high resolution. Impact: Aid organizations can target the most vulnerable communities, improving cash-transfer efficiency and lifting more people out of poverty.
Farmers and agencies use weather, soil data, and remote sensing to predict crop yields. Impact: Prevents food shortages, reduces waste, and improves food security planning.
SDG 1 — No PovertyExample: Predicting Poverty Hotspots
SDG 2 — Zero HungerExample: Crop Yield Forecasting
Title
Title
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Subtitle
Subtitle
Teachers gather feedback and observe students’ emotional engagement—not just grades. Impact: Students who feel discouraged or invisible are noticed earlier, receiving the support that restores confidence and belonging.
Data from clinics, social media, and wastewater helps identify abnormal disease patterns quickly. Impact: Faster containment of diseases (e.g., COVID-19, dengue), saving lives.
Community members describe how water shortages impact daily life—long walks, missed school, and stress.Impact: Solutions center people’s dignity, prioritizing systems that reduce burden on women and children.
SDG 6 — Clean Water & SanitationExample: Reducing Burden on Women & Children
SDG 4 — Quality Education
SDG 3 — Good Health & Well-BeingExample: Early Disease Outbreak Detection
Title
Title
Title
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Use this side to give more information about a topic.
Example: Supporting Students
Subtitle
Subtitle
Subtitle
Engagement
Data Analysis- Improving Outdoor Learning Spaces
Task: Data Analysis
Teacher Notes
A Starting Point.....
Need more practice thinking about data analysis?
Teacher Notes
What's next?
Explore the resources in Step 7 to examine data analysis methods further. Steps 8 and 9 should be reviewed in conjunction with Steps 6 and 7 to ensure trustworthiness and ethical conduct.
Tas Idea
Lesson completed!
If you have questions or doubts, please reach out at irml@kennesaw.edu
Purpose: Students will use thematic analysis to analyze a sample data set and brainstorm potential uses for the preliminary findings. Scenario: The principal has invited student researchers to help administration understand students' experiences with outdoor learning spaces at your high school, so they can improve the quality of students' experiences. Research Teams will analyze a sample qualitative data set, determine themes, and make a recommendation to the principal based on the preliminary findings.
Task: Data Analysis
Preparation: Group students into research teams (3 to 4 per group). 1. Review the scenario to the left. 2. View the video Coding and Thematic Analysis as a class and discuss how thematic analysis can help to answer the research question: What is the overall student experience at X (your school) High Shcool with outdoor learning spaces? (10 minutes) 3. Conduct thematic analysis using the sample data set and the thematic analysis guide. 5. Discuss the preliminary findings. 6. Consider the limitations of the data set and discuss how the findings can be used to address the research question and improve students' experiences.
Research Question: What is the student experience at X (your school) High School with outdoor learning spaces?
Thematic Analysis Guide
Sample Data Set
Coding and Thematic Analysis