🎯 Learning Intention

I will explore how data helps us answer questions about digital literacy and begin drafting survey questions in Google Forms.

✅ Success Criteria

• [ ] I can explain why data collection is important for solving real problems.
• [ ] I can describe the difference between quantitative and qualitative survey questions.
• [ ] I can create at least two draft questions in Google Forms that measure digital literacy or tech proficiency.

🌍 Why We’re Learning This

Data drives decision-making in schools, businesses, and government. Understanding how to design and collect data is the first step in solving real-world problems like the digital divide and technology readiness.

🧭 Agenda (47–50 min)

1) Warm-Up (Tech Journal, 5 min)

“Think of a time you answered a survey. Did the questions feel clear and fair, or confusing and biased? What made you trust (or not trust) the results?”

2) Mini-Lesson (10 min)

• Topic: “Why do we collect data?”
  • Show 2 examples: school tech usage stats (quantitative) vs. student quotes (qualitative).
  • Quick review: Quantitative = numbers; Qualitative = words/stories.
• Vocabulary: Quantitative, Qualitative, Bias, Indicator, Survey Instrument (introduced only).

3) Guided Practice (15 min)

• Brainstorm: “What do we need to know about digital literacy at AVHS?”
• Class board list (access, confidence, Wi-Fi reliability, ethical use, collaboration).
• Groups draft 1 quantitative + 1 qualitative question on paper/whiteboard.

4) Independent Work (12–15 min)