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The Cleanest Village – Class 4 Computational Thinking | Chapter 9 Notes & Worksheet

The Cleanest Village – Class 4 Computational Thinking | AI Logic School
Class 4 · Computational Thinking

🌿 The Cleanest Village
How CT Helps Keep Our World Clean!

Chapter 9 · CBSE AI & Computational Thinking · Code 417

📚 Class 4 🧠 Computational Thinking 🏡 Real-Life Application ⏱ 40 Minutes
Class: 4
Subject: AI & Computational Thinking
Subject Code: 417
Chapter: 9 – The Cleanest Village
Bloom's Level: Understand → Apply
Difficulty: Easy to Medium
Time Required: ~40 Minutes
Blog: ailogicschool.blogspot.com

📖 Study Notes: The Cleanest Village

What is this chapter about?

This chapter tells the story of a village that wants to become the cleanest village in their area. The villagers use Computational Thinking (CT) skills to plan, organise, and solve their cleanliness problem — just like a computer scientist would solve a problem!

Think of villages like Mawlynnong in Meghalaya, known as "Asia's Cleanest Village." The people there work together using clever thinking and planning — which is exactly what CT is about!

🔑 Key Terms to Remember

DecompositionBreaking a big problem into smaller, easier parts.
Pattern RecognitionNoticing things that repeat or are similar.
AbstractionFocusing on only the important details; ignoring unnecessary information.
AlgorithmA step-by-step plan to solve a problem.
Data AnalysisLooking at information (data) to find useful answers.

🏡 How the Village Used Computational Thinking

1
Decomposition – Break the Big Problem

The village had a lot of garbage. Instead of panicking, they broke the problem into smaller parts: Who throws garbage? Where? How much? What type?

2
Pattern Recognition – Find Repeating Problems

They noticed that most garbage was near the market and temple on festival days. This is a pattern — it helps know when and where to focus cleaning.

3
Abstraction – Focus on What Matters

Instead of worrying about every single piece of garbage, they focused on the types of waste: wet waste, dry waste, and plastic. This helped plan separate bins.

4
Algorithm – Make a Step-by-Step Plan

They made a plan: (1) Place dustbins at every corner, (2) Assign cleanliness duties to each family, (3) Collect waste every morning, (4) Reward the cleanest lane each month.

5
Data Analysis – Check & Improve

They recorded how much garbage was collected each week on a tally chart. When numbers went down, they knew their plan was working!

📊 Indian Real-Life Connection

India's Swachh Bharat Abhiyan (Clean India Mission) uses the same kind of thinking — collecting data about open defecation, finding patterns, and making step-by-step plans for different states. That's Computational Thinking in action at a national level!

Even in our smart cities, AI-powered smart dustbins send a signal when they are full — so the garbage truck only goes when needed. That's an algorithm built into a machine!

📝 Summary

The villagers used all five steps of Computational Thinking to make their village clean. They decomposed the problem, recognised patterns, used abstraction to focus on what mattered, wrote an algorithm (plan), and used data to check results. You can use the same steps to solve problems in your school, home, or colony!

· · ·

✏️ Worksheet: The Cleanest Village

Bloom's: Remember, Understand, Apply Difficulty: Easy–Medium

Section A – Multiple Choice Questions (MCQs) (Circle the correct answer)

MCQ 1
Q1. What does "Decomposition" mean in Computational Thinking?
  • a) Drawing a picture of the problem
  • b) Breaking a big problem into smaller parts
  • c) Ignoring the problem
  • d) Writing a story about the problem
MCQ 2
Q2. The villagers noticed that most garbage appeared near the market during festivals. This is an example of:
  • a) Algorithm
  • b) Pattern Recognition
  • c) Abstraction
  • d) Decomposition
MCQ 3
Q3. A step-by-step plan to solve a problem is called:
  • a) Pattern
  • b) Data
  • c) Algorithm
  • d) Abstraction
MCQ 4
Q4. When the villagers decided to focus only on the type of waste (wet/dry/plastic) and ignore other details, they were using:
  • a) Pattern Recognition
  • b) Algorithm
  • c) Abstraction
  • d) Data Analysis
MCQ 5
Q5. Which government scheme connects to the idea of "The Cleanest Village"?
  • a) Make in India
  • b) Digital India
  • c) Swachh Bharat Abhiyan
  • d) Skill India
MCQ 6
Q6. Using a tally chart to record garbage collected each week is an example of:
  • a) Abstraction
  • b) Decomposition
  • c) Pattern Recognition
  • d) Data Analysis
MCQ 7
Q7. Mawlynnong village in Meghalaya is famous for being:
  • a) Asia's Cleanest Village
  • b) India's Largest Village
  • c) India's Richest Village
  • d) Asia's Greenest Forest
MCQ 8
Q8. Smart dustbins in smart cities send a signal when they are full. This is an example of an:
  • a) Pattern
  • b) Data table
  • c) Algorithm inside a machine
  • d) Abstraction rule

Section B – Fill in the Blanks

(Word Bank: Algorithm, Pattern Recognition, Decomposition, Abstraction, Data Analysis, Swachh Bharat)
1. Breaking a big cleaning problem into smaller tasks is called .
2. Noticing that garbage increases near the market every weekend is called .
3. Focusing only on the types of waste (wet, dry, plastic) and ignoring other details is called .
4. A step-by-step cleaning plan made by the village is an example of an .
5. Recording and studying garbage data from tally charts is called .
6. India's national cleanliness mission is called the Abhiyan.

Section C – Match the Column

Column A (CT Step)Column B (Example from the Village)
A. Decomposition1. Making a weekly cleaning schedule
B. Pattern Recognition2. Separating waste into 3 types
C. Abstraction3. Garbage spikes near the market on Sundays
D. Algorithm4. Counting garbage bags collected per day
E. Data Analysis5. Dividing the village into 10 cleaning zones

Answer Key: A–5, B–3, C–2, D–1, E–4

Section D – Short Answer Questions

Short Answer 1
Q1. Name any two types of waste the villagers sorted in the chapter. Why is sorting waste important?

_(Write 2–3 sentences)_

Short Answer 2
Q2. How did data analysis help the villagers know that their cleaning plan was working?

_(Write 2–3 sentences)_

Short Answer 3
Q3. Write one real-life example from your school or neighbourhood where you can use an algorithm to solve a cleanliness problem.

_(Write 3–4 sentences)_

🎯 Activity: Design Your Own Clean School Algorithm!

Imagine your school campus has become very dirty. Use the 5 steps of Computational Thinking to make a plan to clean it up!

Step 1 – Decomposition: List 3 places in school that are dirty.

1. _______________   2. _______________   3. _______________


Step 2 – Pattern Recognition: When does it get the dirtiest? (e.g., after lunch / after games)

Answer: _______________________________________________


Step 3 – Abstraction: What type of waste is most common? (Food waste / paper / plastic)

Answer: _______________________________________________


Step 4 – Algorithm: Write 4 steps to clean the school:

Step 1: _______________   Step 2: _______________

Step 3: _______________   Step 4: _______________


Step 5 – Data Analysis: How will you check if your plan worked? (Hint: count garbage bags / take photos before and after)

Answer: _______________________________________________

💡 Did You Know?

India's Swachh Survekshan survey uses AI and data analysis to rank cities on cleanliness! Cameras, citizen apps, and satellite images all collect data — which is then analysed using algorithms — to decide which Indian city is the cleanest each year. Indore has won the top rank multiple times. That is Computational Thinking working at city scale! 🇮🇳🤖

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