Foundations of Artificial Intelligence Review Guide
A review guide for 10th graders that defines AI, distinguishes machine learning from deep learning, and explains algorithms, training data, and neural networks. Students also identify real-world uses of NLP, computer vision, and generative AI and practice evaluating AI outputs for accuracy, privacy, and bias. It includes a key-terms section and a fill-in table for organizing the AI hierarchy.
Teacher Guide & Tips
- Use as a review or warm-up session before or after an introductory unit on AI, working through the key terms and the Part 1 hierarchy table in about 30 to 45 minutes.
- Discussion question: How is machine learning a subset of AI, and how does deep learning differ from classical machine learning in the amount of data and features it needs?
- Scaffold for struggling readers: Pair them with a partner to build a visual nested diagram (AI, then machine learning, then deep learning) before completing the table.
- Extension for advanced students: Ask them to find a recent generative AI tool and assess its outputs for accuracy, privacy practices, and possible bias, citing specific examples.
- Estimated time: about 45 minutes for the full guide, or 20 minutes if used only for the key-terms review.
Foundations of Artificial Intelligence Review Guide
A review guide for 10th graders that defines AI, distinguishes machine learning from deep learning, and explains algorithms, training data, and neural networks. Students also identify real-world uses of NLP, computer vision, and generative AI and practice evaluating AI outputs for accuracy, privacy, and bias. It includes a key-terms section and a fill-in table for organizing the AI hierarchy.
Teacher Guide & Tips
- Use as a review or warm-up session before or after an introductory unit on AI, working through the key terms and the Part 1 hierarchy table in about 30 to 45 minutes.
- Discussion question: How is machine learning a subset of AI, and how does deep learning differ from classical machine learning in the amount of data and features it needs?
- Scaffold for struggling readers: Pair them with a partner to build a visual nested diagram (AI, then machine learning, then deep learning) before completing the table.
- Extension for advanced students: Ask them to find a recent generative AI tool and assess its outputs for accuracy, privacy practices, and possible bias, citing specific examples.
- Estimated time: about 45 minutes for the full guide, or 20 minutes if used only for the key-terms review.