Artificial Intelligence · JHS2 Computing

Lesson notes

Learning Objectives

Indicator: B8.4.4.1.1 - Discuss Artificial Neural Networks (ANN) and compare intelligence in humans, animals and machines

By the end of the lesson, learners can:

Define an Artificial Neural Network (ANN) and describe its key components (nodes, layers, connections, weights).
Compare intelligence in humans, animals, and machines across at least three criteria such as learning, memory, and problem-solving.
Distinguish between strong and weak artificial intelligence using everyday examples.
Explain basic hologram science and how it is used to create 3-dimension mixed reality (MR) intelligence.
Work effectively in assigned roles during group discussions and report their findings to the whole class.

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Curriculum details

Strand: Computational Thinking (Strand 4)
Sub-strand: Artificial Intelligence (4.4)
Content standard: B8.4.4.1 - Discuss Artificial Intelligence Concepts
Indicator: B8.4.4.1.1 - Discuss Artificial Neural Networks (ANN) and compare intelligence in humans, animals and machines
Suggested placement: Term 3, Week 12 (Week 36 of the year)
Our suggestion, laid out in curriculum order across three terms of twelve weeks. NaCCA does not fix the week, so follow your school's scheme of learning.
Curriculum reference: Computing, Common Core Programme (JHS1-JHS3), 2023, p. 39
Transcribed from the official NaCCA publication. Check this page against the source.

Exemplars (from the NaCCA curriculum)

1. Compare intelligence in humans, animals and machines.
2. Compare the limitations and capabilities of the three intelligences in processing information
3. Discuss the difference between strong and weak artificial intelligence.
4. Discuss hologram science basics and link the application in creating a 3- Dimension mixed reality (MR) intelligence.