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6.   Explore and compare how human intelligence and Artificial Intelligence (AI) approach problem-
                     solving. Humans use creativity, critical thinking, and emotional intelligence to solve complex
                     problems, whereas AI relies on data, algorithms, and patterns to find solutions. By solving the
                     same problem both manually (as a human) and using AI, you will gain a deeper understanding of
                     their strengths and limitations.
                     Choose a problem that both humans and AI can solve. Possible examples include:
                     •  Math problem-solving (such as solving algebraic equations)

                     •  Sorting tasks (like organising images based on categories)
                     •  Decision-making scenarios (for example, choosing the best solution from different options)
                     •  Solve the problem manually using your creativity and problem-solving skills.

                     Compare the results by evaluating the speed, accuracy, and adaptability of both human and AI
                     problem-solving methods. Analyse how well each approach handles the problem and note the
                     differences, such as creativity in humans versus data-driven decision-making in AI.



































                     Record your process: As you solve the problem, document each step you take, your reasoning, and
                     any challenges you face. Use a whiteboard, or an online tool (e.g., Google Docs or Padlet) to share
                     and collaborate on solving the problem with classmates.
                 7.   AI Problem-Solving Approach
                     Train an AI model to recognise patterns or make decisions based on provided data.

                     Use tools like Google Teachable Machine or Scratch with AI Extensions to train the model.
                     Group Activity:
                     •  Students experiment with the AI tool in groups.

                     •  Input their own data and observe how AI solves the problem.
                     •  Record and compare how quickly AI solves the task.



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