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Enhanced_CT_Design_Thinking_Presentation (1).pptx
- 1. Computational Thinking, Algorithm Design& Design Thinking Training Presentation for Elementary Teachers in ICT Based on Capacity Building Manual 2025
- 2. Objectives Apply computationalthinking and problem-solving strategies to solve complex problems efficiently. Apply nesting concepts within algorithmic design thinking. Utilize conditional statements, finite loops, and infinite loops. Deconstruct complex problems into manageable sub-problems. Develop step-by-step procedures for problem-solving. Understand the phases of Design Thinking.
- 3. What is ComputationalThinking? Computational thinking is a problem-solving technique inspired by how computer programmers solve problems. It involves breaking down problems into smaller parts and developing clear solutions. Important for teaching logical thinking and structured problem-solving.
- 4. Four Components ofComputational Thinking 1. Decomposition – Breaking down complex problems into smaller parts. 2. Abstraction – Focusing only on important details, ignoring irrelevant ones. 3. Pattern Recognition – Finding similarities in problems to simplify solutions. 4. Algorithm Design – Creating clear step-by-step solutions (instructions).
- 5. Algorithm (Algo): ExplainedSimply An algorithm is like a recipe for a computer. It's a step-by-step guide that tells the computer exactly what to do. Example: 1. You want to make a sandwich. 2. Write the steps: get bread, add filling, assemble sandwich. 3. The computer follows these to make the 'digital sandwich'. Key Points: * Step-by-step instructions: Break down tasks into simple steps. * Clear and precise: Tell the computer exactly what to do. * Helps solve problems: Used in games, apps, websites, etc. Algorithms are like recipes for computers!
- 6. Problem Solving Steps 1. Define the Problem – Understand and describe it clearly. 2. Brainstorm Solutions – List all possible ways to solve it. 3. Analyze Options – Check pros and cons of each solution. 4. Choose a Solution – Pick the most feasible and effective one. 5. Create a Plan – Write step-by-step instructions. 6. Evaluate Your Plan – Test and improve it.
- 7. Conditional Statements in Programming Conditional statements allow algorithms to make decisions. If-else statements: Do something if a condition is true, otherwise do something else. Example: if (age < 18) show 'You are a minor' else 'Welcome' → →
- 8. Loops in Programming Loops repeat actions until a condition is met. Finite loops: Run a set number of times (e.g., 5 times). Infinite loops: Continue forever unless manually stopped. Types: For loop, While loop, Do While loop, Nested loops.
- 9. Nesting in AlgorithmDesign Nesting means placing one structure inside another. For example, a loop inside another loop. Helps in solving more complex problems efficiently.
- 10. Simple vs ComplexProblems Simple Problem: One person can solve it using their knowledge. Complex Problem: Requires a team or deeper strategies. Computational thinking helps in breaking complex problems into simple parts.
- 11. Design Thinking Process A user-centered approach to creative problem-solving. Phases: Empathize Define Ideate Prototype Test. → → → → Used to find innovative solutions through collaboration and iteration.
- 12. Phases of DesignThinking Design thinking is a problem-solving approach that involves understanding users, challenging assumptions, and iterating solutions. Here are the phases: 1. Empathize: Understand the user's needs and feelings. 2. Define: Define the problem and identify the challenge. 3. Ideate: Generate creative ideas and solutions. 4. Prototype: Create a prototype or a model of the solution. 5. Test: Test the solution with users and gather feedback. Simple way to remember: 1. Understand the problem (Empathize) 2. Define the challenge (Define) 3. Imagine solutions (Ideate) 4. Create a prototype (Prototype) 5. Try it out (Test) Design thinking helps create innovative solutions by putting users at the center!