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Computing · B8

Term 3 · Week 10 · 2.00 credits · GHS 1.00

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 Lesson Note - Computing
A
ANA CENTRAL JHS
Weekly Lesson Plan
JHS 2 (B8) · Term 3
Computing
Lesson 1 of 1
Week Ending
Friday, 12 Jun 2026 Backdated
Week & Term
Week 10 · Term 3
Class Teacher
Kassim Abdul-Ganiu
4. Computational Thinking
4. Artificial Intelligence

Content Standard & Indicator

B8.4.4.1.1
Discuss Artificial Intelligence Concepts
Discuss Artificial Neural Networks and compare intelligence in humans animals and machines
Learners will compare intelligence in humans, animals, and machines by identifying key differences in learning, memory, and decision-making capabilities.
Critical Thinking and Problem Solving (CP) Communication and Collaboration (CC)
Artificial Intelligence Neural Networks Machine Learning Human Intelligence Animal Intelligence artificial neural networks
Computer/Laptop Projector Textbook Internet connection
Computing Curriculum Teachers Resource Pack Learners Resource Pack
Lesson Activities by Day
Date Phase 1: Starter (7 mins)
Preparing the brain
Phase 2: Main (20 mins)
New learning + assessment
Resources Phase 3: Plenary (6 mins)
Reflection + exercise
Tue
09
Jun 2026
  • 1Identify examples of intelligence in humans, animals, and machines from everyday Ghanaian contexts
  • 2Ask learners: How does Ama's mother recognise ripe mangoes at Makola Market? How does a dog recognise its owner? How does a mobile phone recognise a fingerprint? Learners whisper answers to their partner
  • UNDERSTANDING INTELLIGENCE IN THREE FORMS
  • 1Open the Textbook (Chapter: Artificial Intelligence Concepts) and read aloud the definition of intelligence. Write three headings on the board: HUMAN INTELLIGENCE, ANIMAL INTELLIGENCE, MACHINE INTELLIGENCE. For each, ask learners to give one example from their own experience (e.g., Kwame remembers his timetable = human memory; a chicken finds seeds in soil = animal instinct; a calculator solves 25 + 17 = machine logic). Record one learner response under each heading
  • 2Project a comparison chart using the Computer/Laptop and Projector showing: humans learn from experience and ask questions; animals learn through instinct and repetition; machines learn from data and follow programmed rules. Learners copy the three key differences into their exercise books
  • 3Pair learners and give each pair a simple task: describe how a human child, a chick, and a robot vacuum would each learn to find food in a room. Pairs write their three descriptions and one pair shares aloud
  • 1Computer/Laptop
  • 2Projector
  • 3Textbook (Computing — Artificial Intelligence Concepts)
  • 4Comparison chart image (human vs animal vs machine learning)
  • 1Show three scenarios on the Projector: (1) Abena studies hard and passes an exam, (2) A fish swims away from danger, (3) A smartphone predicts the next word you type — learners shout out which type of intelligence each is
  • 2Ask: Which type of intelligence do you think is strongest and why? Learners show thumbs up (human), sideways (animal), or down (machine) to vote and explain to their neighbour
Exercise
  • 1Write one sentence comparing how a human, an animal, and a machine would each recognize a friend — explain the difference in how each one learns or remembers in their exercise books.
Thu
11
Jun 2026
  • 1Identify the key differences between human, animal, and machine intelligence from a simple comparison chart
  • 2Display three images (a student solving a math problem, a dog catching a ball, a robot on the projector) and ask learners to whisper to their partner what each is doing
  • COMPARING HUMAN, ANIMAL, AND MACHINE INTELLIGENCE
  • 1Open the textbook page on Artificial Neural Networks and project it using the projector; read aloud the definition of machine learning, then ask the class: Can a machine think like Ama thinks? Write 'Yes' or 'No' on mini whiteboards and hold them up
  • 2Draw a three-column table on the board labelled 'Human Intelligence', 'Animal Intelligence', 'Machine Intelligence'; call on learners to give one example for each column — human example: remembering names; animal example: bird navigation; machine example: chess-playing computer — and fill the table together
  • 3Ask learners working in pairs to copy the table into their books and add two more examples per column using ideas from the textbook; ask one representative from each pair to read aloud their strongest example while you tick correct answers on the board
  • 1Computer/Laptop
  • 2Projector
  • 3Textbook
  • 4Mini whiteboards
  • 1Learners stand and move to one side of the classroom if they think machines can feel emotions, the other side if they think machines cannot — ask a learner from each side to explain their choice in one sentence
  • 2Ask: Which type of intelligence — human, animal, or machine — is most useful for solving problems in Ghana's markets like Makola? Call on three learners to give brief answers
Exercise
  • 1Write one sentence explaining: Is machine intelligence stronger or weaker than human intelligence, and give one reason why in their exercise books.
Class Teacher
Kassim Abdul-Ganiu
Head Teacher
Signature & Date
SISO / Circuit Supervisor
Signature & Date

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