Computing doesn’t exist in a vacuum — it shapes society, influences decisions, and affects real people.

Unit 10: Data, Privacy & Ethical Computing is a comprehensive, discussion-rich Computer Science Principles unit that helps students explore the social, ethical, and future impacts of computing. Through real-world scenarios, guided analysis, reflection, and light Python-style reasoning, students learn to think critically about how technology is designed and used.

This unit is worksheet-heavy, admin-friendly, and sub-ready, making it perfect for CSP classrooms that want meaningful engagement without heavy coding demands.

📚 LESSONS INCLUDED (10.1–10.6)

✔ Lesson 10.1 — Data Collection & Privacy
Students identify personal data, analyze privacy risks, and evaluate responsible data use.

✔ Lesson 10.2 — Algorithms & Bias
Students explore how algorithms can unintentionally reflect bias and impact fairness.

✔ Lesson 10.3 — Artificial Intelligence & Automation
Students analyze AI applications, benefits, risks, and automation’s impact on society.

✔ Lesson 10.4 — Social Media, Misinformation & Echo Chambers
Students evaluate misinformation, algorithm influence, and responsible information sharing.

✔ Lesson 10.5 — Ethical Decision Making in Computing
Students apply ethical reasoning, analyze consequences, and justify decisions from multiple perspectives.

✔ Lesson 10.6 — The Future of Computing
Students explore emerging technologies, reflect on computing careers, and imagine future impacts.

✅ WHAT’S INCLUDED

✔ 6 Student Worksheets
Each lesson includes:

• Guided mini lessons
  
• Vocabulary activities
  
• Scenario analysis or case studies
  
• Code reasoning (Python-style, no heavy coding)
  
• JDoodle-compatible tasks (where applicable)
  
• Reflection writing and creative responses
  

✔ 6 Teacher Guides
Each guide includes:

• Lesson overview & pacing (50–75 minutes each)
  
• Common misconceptions
  
• Answer keys / sample reasoning
  
• Differentiation & extension ideas
  

✔ Consistent Formatting

• All black text
  
• Printable and digital-friendly
  
• Sub-ready and LMS-friendly
  
• Clear structure students can follow independently
  

🧠 TOPICS COVERED

• Data collection & privacy
  
• Algorithmic bias & fairness
  
• Artificial intelligence & automation
  
• Social media algorithms & misinformation
  
• Ethical decision making in computing
  
• Emerging technologies & computing careers
  

🧑‍🏫 PERFECT FOR

• High school Computer Science Principles (Grades 9–12)
  
• Python-based CSP courses
  
• Digital citizenship & ethics units
  
• Discussion-heavy or reflection-focused days
  
• Sub plans, testing weeks, or low-prep lessons