Lesson Plan

• Describe key ethical principles in computing and their relevance.
• Analyze the impact of ethical versus unethical decisions on stakeholders and costs.
• Evaluate case‑study scenarios to determine ethical actions.
• Apply guidelines to propose responsible data‑handling practices.
• Reflect on professional responsibilities and legal requirements.

• Projector and screen for slides.
• Whiteboard and markers.
• Printed case‑study handouts (data‑mining scenario).
• Laptop with internet access for research.
• ACM Code of Ethics excerpt sheets.
• Sticky notes for group brainstorming.

Begin with a quick poll: “What comes to mind when you hear the word ‘ethics’ in computing?” Connect this to prior lessons on data privacy and explain that today students will examine how ethical choices affect users and organisations. Success will be demonstrated by accurately assessing case‑study actions and proposing responsible solutions.

1. Do‑Now (5’) – Students write down a recent news story involving a data breach and share briefly.
2. Mini‑lecture (10’) – Overview of ACM ethical principles and legal context (GDPR, Data Protection Act).
3. Case‑Study analysis (15’) – In pairs, examine the data‑mining table, classify actions as ethical/unethical, discuss impacts, and complete a worksheet.
4. Group discussion (10’) – Teams present findings; teacher highlights key consequences and the cost model.
5. Guideline application activity (10’) – Teams create a flowchart for ethical data handling using the suggested diagram template.
6. Formative check (5’) – Quick quiz (Kahoot or paper) on principles and guidelines.
7. Reflection (5’) – Exit ticket: one actionable step each student will take in future projects.

Summarise how ethical decisions protect users, comply with law, and sustain business reputation. Collect exit tickets to reinforce the key take‑away. For homework, ask students to research a recent ethical dilemma in technology and prepare a short summary for the next class.