Software Engineering and Artificial Intelligence – Teacher Answers

Teacher answer key

1. Warm-up: answers will vary.
2. Vocabulary: accept accurate contextual meanings.
3. Reading comprehension: 1) They learn patterns from data rather than only following fixed instructions. 2) The system may learn incomplete or unfair patterns. 3) People may need to understand why a decision was made. 4) Privacy, fairness, security, employment, bias. 5) Predict failures, optimise designs, automate repetitive tasks.
4. Grammar: 1) must / should; 2) may / can; 3) must / should; 4) can
5. Listening script: “Before an AI system is released, engineers often test it with data that was not used during training. This helps them see whether the system can handle new examples. If performance drops sharply, the model may need better data, different settings or further testing.”
   Answers: 1) Before release. 2) Data not used during training. 3) Whether the system handles new examples. 4) Better data, different settings or further testing.
6. Speaking: answers will vary.
7. Something fun: answers will vary.
8. Writing: answers will vary. Encourage students to use details from the lesson and accurate target language.

Puzzle/Game: answers will vary. Encourage students to use lesson vocabulary and explain their choices.

Success criteria: this is a student self-check. No single answer is required.

For open-ended tasks, accept different answers when students can explain or support them clearly.