SEE COMPUTER SCIENCE - CDC NEW CURRICULUM 2083 - CLASS 9 AND10: Unit 5

SEE COMPUTER SCIENCE - CDC NEW CURICULLUM 2083

Unit 5 – AI and Contemporary Technology

5.1 Concept of Artificial Intelligence (AI) and Machine Learning (ML)

Concept of Contemporary Technologies

Contemporary technologies are modern and advanced technologies that use computers, the internet, intelligent machines, and digital systems to make our work, communication, learning, and daily activities easier and smarter.

Advancement in technology has developed machines and systems that can:

Learn from past experiences and data
Understand their surroundings
Communicate with humans using natural language
Perform complex tasks automatically
Store and access information through the internet
Create simulated or virtual environments

Some major contemporary technologies are:

🤖 Artificial Intelligence (AI)
🦾 Robotics
🥽 Virtual Reality (VR)
☁️ Cloud Computing
🌐 Internet of Things (IoT)

Importance of Contemporary Technologies

Technologies such as AI, Robotics, VR, Cloud Computing, and IoT are changing the way we:

Live
Work
Communicate
Learn
Store information
Perform daily activities

💡 Do You Know?

😊 Emotion-Recognizing AI

Some AI systems can analyze facial expressions and voice patterns to recognize signs of human emotions and respond accordingly.

🎮 AI in Video Games

AI is used in video games to make computer-controlled players smarter and more challenging.

🤔 Let’s Think

1. Can machines ever think like humans?

Machines can perform some human-like tasks such as learning, recognizing patterns, solving problems, and making decisions. Example: Imagine a robot playing badminton. At first, it observes and copies a human player. It then learns from its mistakes and gradually improves its performance.

2. Have you ever talked with Large Language Models (LLMs) like ChatGPT or DeepSeek in your own language?

Large Language Models (LLMs) are AI systems trained on large amounts of text. They can understand and generate human language and communicate with users in different languages.

Examples: ChatGPT and DeepSeek.

3. Where do your photos, videos, and documents go when you save them “in the cloud”?

When data is saved in the cloud, it is stored on remote servers connected to the internet.

This allows users to access their files from different devices anywhere and anytime, with internet access.

📘 5.1 Artificial Intelligence and Machine Learning

🤖 Artificial Intelligence (AI)

Artificial Intelligence (AI) is a branch of computer science that focuses on creating machines that can think, learn, and act like humans.

Explanation

AI enables computers and machines to perform tasks that normally require human intelligence.

AI systems can perform abilities such as:

Learning from experience
Reasoning and making logical decisions
Problem-solving
Planning
Understanding human language
Recognizing objects and patterns
Controlling or moving objects

Traditional computers mainly follow fixed instructions to process and store data. AI-based computers can do much more. They can learn from previous experiences, analyze large amounts of data, identify patterns, and make decisions to complete specific tasks.

Examples of AI

♟️ Chess-playing computers
🚗 Self-driving cars
🌐 Language translation
🙂 Face detection
💬 Question-answering systems
🤖 Intelligent robots

⭐ Key Point

AI makes computers capable of performing tasks that normally require human intelligence.

🧠 Machine Learning (ML)

Machine Learning (ML) is a subset of Artificial Intelligence that enables computers to learn from data and improve their performance over time without being directly programmed for every task.

Explanation

In the past, computers could perform tasks only by following step-by-step instructions given by programmers.

With Machine Learning, computers can:

Learn from data and past experiences
Identify patterns
Make predictions
Improve their performance with experience
Make decisions based on learned information

Instead of programming every possible rule, we provide the computer with examples so that it can learn patterns by itself.

Example: Dog and Cat Recognition 🐶🐱

Suppose we want a computer to identify dogs and cats.

Instead of giving it step-by-step instructions, we provide many examples of dog and cat images.

The computer studies these images, identifies their patterns and characteristics, and learns how to distinguish between them.

Training Images → Find Patterns → Learn → Identify New Image

This process of learning from data is called Machine Learning.

⭐ Key Point

Machine Learning allows computers to learn from data rather than depending only on fixed instructions.

🔗 Relationship Between AI and ML

Artificial Intelligence and Machine Learning are closely related.

AI is the broader field concerned with making machines intelligent, while ML is a subset of AI that allows machines to learn from data and improve through experience.

AI = Makes machines intelligent
ML = Helps machines learn from data

Machine Learning makes many AI systems more powerful and flexible because they can improve their performance based on past data and experience.

Example: Google Maps 🗺️

Google Maps can use traffic and route data to help suggest suitable or faster routes.

The system analyzes information such as:

Traffic conditions
Road information
Previous traffic patterns

This is an example of AI using Machine Learning to make useful decisions.

🔍 Comparison Between Artificial Intelligence and Machine Learning

Artificial Intelligence (AI)	Machine Learning (ML)
AI is a branch of computer science that focuses on making machines think and behave intelligently like humans.	ML is a subset of AI that enables computers to learn from data and improve their performance.
AI is a broader concept.	ML is a part or subset of AI.
AI uses techniques such as reasoning, problem-solving, planning, and natural language processing.	ML mainly focuses on learning patterns and making predictions from datasets.
Its main goal is to make machines perform intelligent tasks.	Its main goal is to make machines learn and improve from data.
AI includes robots, chatbots, and smart assistants.	ML includes spam filters, recommendation systems, and product suggestions.
Example: A robot serving customers in a hotel.	Example: A YouTube recommendation system suggesting videos based on user data.

📘 Applications of Artificial Intelligence (AI)

a. Gaming 🎮

Gaming in AI refers to the use of artificial intelligence to make computer-controlled players smarter, more realistic, and capable of making decisions.

Explanation

AI is widely used in modern games to create a dynamic and engaging experience. It can analyze many possible moves, predict outcomes, and choose suitable actions during gameplay.

AI can also play games with humans and improve its performance through repeated practice.

Examples

Chess
Poker
Football games
Strategy games

Example: An AI chess program analyzes different possible moves and selects a suitable move to compete with a human player.

b. Natural Language Processing (NLP) 🗣️

Natural Language Processing (NLP) is an application of AI that enables computers to understand, interpret, and respond to human language.

Explanation

NLP allows users to communicate with computers through text or voice. It helps computers understand spoken or written language and provide meaningful responses.

It can also be used to control devices through voice commands.

Examples

Siri
Alexa
Voice assistants
Language-based chat systems

Example: A user asks Siri a question using voice, and Siri understands the request and gives a response.

c. Automated Grading 📝

Automated grading is the use of AI tools to check, evaluate, and score students' work automatically.

Explanation

AI can check tests, assignments, quizzes, and written work. It can also provide instant feedback, suggestions, and corrections.

Automated grading helps teachers save time and gives students quick results.

Examples

Grammarly
Google Forms
Quillionz

Example: Google Forms can automatically check quiz answers and display the score immediately.

d. Personalized Learning 📚

Personalized learning is the use of AI to provide learning materials and activities according to a student's ability, interests, needs, and learning speed.

Explanation

Every student learns differently. AI can study a learner's progress and provide suitable lessons, questions, or activities.

Instead of giving the same learning experience to everyone, AI can create a more individual learning path.

Example

Duolingo can adjust learning activities according to a learner's progress and performance.

Key Idea

Personalized Learning = Learning according to individual needs

e. Expert Systems 🧠

An expert system is an AI-based computer program that uses stored knowledge and rules to solve problems or give advice like a human expert.

Explanation

Expert systems are designed for specific fields. They use information stored in a knowledge base and apply rules to reach a conclusion.

Examples

Medical diagnosis
Technical troubleshooting
Financial advice systems

Example: A medical expert system may analyze symptoms and help suggest possible diseases or treatment options.

f. Vision Systems 👁️

A computer vision system is an AI technology that enables computers to recognize, understand, and analyze images and videos.

Explanation

Vision systems use cameras, images, and algorithms to identify objects, faces, shapes, and other visual information.

Examples

Face unlock in smartphones
Facial recognition
Object detection

Example: A smartphone uses facial recognition to identify the owner and unlock the device.

g. Handwriting Recognition ✍️

Handwriting recognition is an AI technology that can recognize handwritten characters and convert them into digital text.

Explanation

The system reads handwritten information from paper or a digital screen and converts it into text that can be stored, searched, or edited on a computer.

Process

Handwritten Text → AI Recognition → Digital Text

Example

A handwriting recognition application converts notes written with a digital pen into editable computer text.

h. Intelligent Robots 🤖

Intelligent robots are robots that use AI to sense their surroundings, learn, make decisions, and perform tasks.

Explanation

These robots use sensors to detect:

Light
Heat
Sound
Movement

They can learn from experience, adjust to new situations, and perform tasks with less human control.

Examples

Factory robots
Medical robots
Space exploration robots

Example: Intelligent robots are used in factories to perform repetitive or dangerous tasks.

⭐ Quick Revision Table

Application	Main Function	Example
Gaming	Makes computer players smart	Chess
NLP	Understands human language	Siri
Automated Grading	Checks and scores students' work	Google Forms
Personalized Learning	Provides learning based on individual needs	Duolingo
Expert Systems	Gives expert-like advice	Medical diagnosis system
Vision Systems	Understands images and videos	Face unlock
Handwriting Recognition	Converts handwriting into digital text	Digital note recognition
Intelligent Robots	Senses, learns, and performs tasks	Factory robots

⭐ One-Line Exam Point

AI is applied in many areas such as gaming, language processing, education, expert systems, vision, handwriting recognition, and robotics to make machines perform intelligent tasks.

📘 Applications of Machine Learning (ML)

a. Email Spam Detection 📧

Email spam detection is the use of Machine Learning to identify unwanted, suspicious, or harmful emails and separate them from normal emails.

Explanation

ML studies patterns in emails such as message content, sender details, links, and previous spam examples. Based on these patterns, it can decide whether an email should go to the inbox or spam folder.

Example

Gmail automatically sends suspicious promotional or harmful emails to the spam folder.

b. Speech Recognition 🎤

Speech recognition is the use of Machine Learning to understand human speech and convert spoken words into text or commands.

Explanation

ML models are trained using many voice samples. They learn speech patterns and help computers recognize spoken words.

Examples

Siri
Alexa
Voice typing

Example: A user speaks into a phone, and the system converts the speech into text.

c. Image Recognition 🖼️

Image recognition is the use of Machine Learning to identify people, objects, or patterns in images.

Explanation

ML studies many labelled images and learns the features of objects or faces. It can then identify similar objects in new images.

Applications

Face unlock
Photo tagging
Object identification
Medical image analysis

Example: A smartphone recognizes the owner's face and unlocks automatically.

d. Self-Driving Cars 🚗

Self-driving cars are vehicles that use Machine Learning to understand their surroundings and make driving decisions automatically.

Explanation

ML helps the car identify:

Roads
Traffic signs
Pedestrians
Other vehicles
Obstacles

It then helps the vehicle decide when to turn, slow down, or stop.

Example

A self-driving car detects a pedestrian and applies the brake automatically.

e. Chatbots and Virtual Assistants 💬

Chatbots and virtual assistants are AI systems that use Machine Learning to communicate with users and improve their responses from data and previous interactions.

Explanation

They learn from conversations and use patterns in language to understand questions and provide suitable replies.

Examples

Siri
Alexa
Customer service chatbots

Example: A customer service chatbot answers common customer questions automatically.

f. Fraud Detection 💳

Fraud detection is the use of Machine Learning to identify unusual or suspicious financial activities.

Explanation

Banks train ML systems using normal and fraudulent transaction patterns. The system can detect unusual behaviour and warn about possible fraud.

Example

A bank detects an unusual online transaction and blocks or flags it for verification.

g. Social Media Feeds 📱

Social media feed recommendation is the use of Machine Learning to select and display content based on a user's interests and activities.

Explanation

ML studies what users:

Like
Watch
Search
Click
Share

It then recommends content that matches their interests.

Examples

Facebook
TikTok
Instagram

Example: TikTok recommends videos similar to the ones a user watches or likes.

h. Dark Web Monitoring 🌐

Dark web monitoring is the use of Machine Learning to detect suspicious patterns and possible illegal activities on hidden parts of the internet.

Explanation

ML can analyze large amounts of data and identify unusual behaviour or patterns that may be linked to cybercrime.

Example

Cybersecurity systems may use ML to detect suspicious activities connected with stolen data or illegal online networks.

i. Cybersecurity 🔐

Cybersecurity using Machine Learning means using ML to detect, prevent, and respond to cyber threats and attacks.

Explanation

ML studies patterns in network traffic and user behaviour. It can identify suspicious activities and help stop attacks.

Examples

Hacking detection
Phishing detection
Malware detection
Suspicious login detection

Example: An ML system detects an unusual login attempt and blocks access.

⭐ Quick Revision Table

Application	Main Function	Example
Email Spam Detection	Detects unwanted emails	Gmail spam filter
Speech Recognition	Understands human speech	Siri
Image Recognition	Identifies people or objects	Face unlock
Self-Driving Cars	Makes driving decisions	Automatic braking
Chatbots & Virtual Assistants	Communicates with users	Alexa
Fraud Detection	Detects suspicious transactions	Bank fraud alert
Social Media Feeds	Recommends content	TikTok feed
Dark Web Monitoring	Detects suspicious hidden-web activity	Cybercrime monitoring
Cybersecurity	Detects cyber threats	Phishing detection

⭐ One-Line Exam Point

Machine Learning is used in email filtering, speech and image recognition, self-driving cars, chatbots, banking, social media, dark web monitoring, and cybersecurity to help computers learn from data and make better decisions.

Activity 1: Recent AI Tools and Their Applications

S.N.	AI Tool	Developer	Key Features	Applications
1	ChatGPT	OpenAI	Answers questions, generates text, analyzes files and data, supports voice and images	Education, writing, research, coding, problem-solving
2	Google Gemini	Google	Text, voice and image input, summarization, image generation, integration with Google services	Learning, writing, research, planning, coding
3	Microsoft Copilot	Microsoft	AI chat, creates documents and presentations, works with Microsoft 365 apps	Office work, study, writing, data analysis, presentations
4	Claude	Anthropic	AI conversation, writing, summarization, document analysis and reasoning	Research, studying, writing, document analysis
5	Perplexity	Perplexity AI	AI-powered web search, gives direct answers with sources and citations	Research, fact-finding, study and information search

Short Presentation Points

1. ChatGPT:
ChatGPT is developed by OpenAI. It can answer questions, create content, analyze information and help in learning and coding.

2. Google Gemini:
Gemini is developed by Google. It can work with text, voice and images and can help with writing, learning, summarizing and planning.

3. Microsoft Copilot:
Copilot is developed by Microsoft. It can assist with Word, Excel, PowerPoint and other productivity tasks and is available on mobile and desktop.

4. Claude:
Claude is developed by Anthropic. It is mainly used for AI conversations, writing, reasoning and analyzing documents.

5. Perplexity:
Perplexity is an AI answer engine that searches the web and provides answers with sources and citations. It is available on the web and mobile devices.

Key Point ⭐

Modern AI tools are used in education, research, communication, programming, business, content creation and many other fields.

Emerging Technologies

Do You Know? 🤖

Some AI robots can recognize human emotions from facial expressions and voice and respond in a more human-like way.

AI is also used in video games to make computer-controlled players smarter and more challenging.

📘 5.2 Concept of Learning Techniques in Machine

Supervised and Unsupervised Learning

A modern computer can learn from past experiences and the data provided to it. It can analyze data, identify patterns, draw conclusions, and make decisions automatically.

Machine Learning mainly uses two types of learning techniques:

Supervised Learning
Unsupervised Learning

👨‍🏫 Supervised Learning Technique

Supervised Learning is a machine learning technique in which a computer is trained using labelled data with proper guidance. In this technique, the machine is provided with input data along with the correct answers or tags so that it can learn the relationship between input and output.

The computer studies the labelled examples, learns patterns from the data, and uses that knowledge to predict or identify new data.

For example, a computer is trained with labelled images of tigers and lions. After learning their differences, when new images are provided, it can recognize whether the image is of a tiger or a lion.

Examples:
🐯 Animal image classification
📧 Email spam detection
🙂 Face recognition

🔍 Unsupervised Learning Technique

Unsupervised Learning is a machine learning technique in which a computer is not provided with labelled data or correct answers. Instead, the machine analyzes the given data by itself, finds hidden patterns, and creates groups or categories based on similarities.

In this technique, the computer learns without being provided with predefined correct answers.

For example, if a computer is given pictures of tigers and lions without labels, it analyzes their appearance and characteristics and may group them into two different categories based on their similarities and differences.

Examples:
🐯 Grouping animals based on features
🛒 Grouping customers based on buying behaviour
📊 Finding patterns in large datasets

Supervised Learning	Unsupervised Learning
Supervised learning is a technique in which a computer learns from labelled data with guidance.	Unsupervised learning is a technique in which a computer learns from unlabelled data and finds patterns by itself.
The data contains correct answers or tags.	The data does not contain correct answers or tags.
The machine learns the relationship between input and output.	The machine finds hidden patterns and groups in the data.
It uses labelled training data.	It uses unlabelled training data.
It is mainly used for classification and prediction.	It is mainly used for pattern discovery and grouping.
Example: Training a computer with labelled images of tigers and lions to identify them.	Example: Giving unlabelled tiger and lion images and allowing the computer to group them based on similarities.

Activity 1.2: Create a Machine Learning Model

In this activity, you will use Google Teachable Machine to create a simple image classification model that can distinguish between cats and dogs.

Steps

Visit Google Teachable Machine:
Open Teachable Machine
Click Get Started and select Image Project.
Create two classes:

Class 1: Cat
Class 2: Dog

Upload 5 different images of cats to the Cat class.
Upload 5 different images of dogs to the Dog class.
Click Train Model to train the computer using these labelled images.
After training, upload new cat and dog images that were not used during training.
Observe whether the model correctly identifies the new images as Cat or Dog.
Record your observations and present your trained model and learning experience in the class.

What Do We Learn From This Activity?

This activity demonstrates supervised learning because the computer is trained using labelled images of cats and dogs.

Training Images → Learning Patterns → New Image → Prediction

Google Teachable Machine allows students to create image, sound, and pose recognition models without coding. Its basic process is to gather examples, train the model, and test it with new examples.

💡 Do You Know?

Online Shopping 🛒

When you shop online, AI and Machine Learning can study your browsing and shopping behaviour and recommend products that may interest you.

Example:
You frequently search for sports shoes → the system may recommend similar shoes or sports products.

Self-Driving Cars 🚗

Machine Learning helps self-driving cars understand their surroundings.

It can help them:

Recognize traffic signs
Detect pedestrians
Identify other vehicles
Understand road conditions
Make driving decisions
Reduce the risk of accidents

⭐ Key Point

Machine Learning allows computers to learn from examples and use that learning to make predictions or decisions about new data.

📘 5.3 AI in Robotics and Simulation of Simple Robotic Tasks

🤖 AI in Robotics

AI in Robotics is the use of Artificial Intelligence in designing, building, and operating robots so that they can sense their surroundings, make decisions, and perform tasks automatically.

Explanation

A robot uses different devices and sensors to collect information from its surroundings.

Common sensors include:

📷 Cameras
🎤 Microphones
🌡️ Temperature sensors
💡 Light sensors
📍 Motion or distance sensors

The robot processes this information and performs the required task.

Sensors → Input → AI Processing → Decision → Action

AI makes robots more intelligent by helping them:

Understand their surroundings
Make decisions
Perform complex tasks
Learn from experience
Adapt to changing situations

Why Are Robots Useful?

Robots are especially useful for jobs that are:

Dangerous
Difficult
Repetitive or tedious
Highly precise

They can perform such tasks with less risk to human life.

Applications of AI Robots

💣 Bomb Disposal

Robots can inspect and handle explosive materials in dangerous areas.

🌊 Ocean Exploration

Robots can explore deep oceans where it may be difficult or unsafe for humans.

🔥 Firefighting

Robots can enter dangerous fire areas and assist in rescue or firefighting operations.

🚀 Space Exploration

Robots are used to explore planets and other environments in space.

☢️ Nuclear and Chemical Environments

Robots can work in areas containing harmful radiation or dangerous chemicals.

Other Areas Where Robots Are Used

🏭 Manufacturing

Robots are used for assembling, welding, packaging, and other factory tasks.

🏥 Healthcare

Robots can assist doctors during medical procedures and help with hospital activities.

🌾 Agriculture

Robots can assist in planting, monitoring crops, and other farming activities.

🏠 Homes

Robots can perform household tasks.

Example: Robotic vacuum cleaner.

Benefits of Robots

Robots help to:

Make work faster
Improve safety
Increase efficiency
Perform repetitive tasks accurately
Work in dangerous environments
Reduce human effort

⭐ Key Point

AI makes robots smarter by enabling them to sense, process information, make decisions, and perform tasks automatically.

📘 Activity 1.3: Simulation of a Simple Robotic Task Using Scratch

Objective

To create a simple Scratch program in which a robot moves a certain number of steps and displays different messages.

Steps

Visit the Scratch website:
https://scratch.mit.edu/
Delete the default sprite.
Choose a robot sprite and select a suitable backdrop.
Add block commands to make the robot:

Start when the green flag is clicked
Move a certain number of steps
Display different messages

Click the green flag to run the program.
Observe the robot moving and displaying the messages.

Simple Block Logic

When Green Flag Clicked
↓
Say “Hello!”
↓
Move 50 Steps
↓
Say “I am moving!”
↓
Move 50 Steps
↓
Say “Task Completed!”

Result

The robot moves according to the given commands and displays messages on the screen.

Learning Outcome

This activity helps students understand how block-based programming can be used to simulate simple robotic movements and actions.

📘 Activity 1.4: Make a Robot Move in a Square

Objective

To create a simple robot simulation that moves in the shape of a perfect square.

Steps

Open an online robot simulator such as RoboBlockly.
Select or create a robot.
Give the robot commands to move forward.
Turn the robot 90° after completing one side.
Repeat the same steps four times.

Movement Logic

Move Forward → Turn 90° → Repeat 4 Times

Simple Algorithm

Move forward a fixed distance.
Turn right 90°.
Move forward the same distance.
Turn right 90°.
Repeat until all four sides are completed.

Better Block Logic

Repeat 4 Times

Move forward
Turn right 90°

Result

The robot follows four equal sides and four right-angle turns, forming a square path.

⭐ Key Point

A square has 4 equal sides and 4 right angles, so the robot must move the same distance four times and turn 90° after each side.

5.4 Definition of Generative AI (Such as Copilot, ChatGPT, Gemini)

🤖 Generative Artificial Intelligence

Generative AI (Gen AI) is a type of Artificial Intelligence that can create new content such as text, images, music, audio, code, and videos.

Explanation

Earlier computers mainly worked with information and instructions already provided to them.

Generative AI can do more. It learns patterns from large amounts of data and uses that learning to generate new content according to the user's request or prompt.

The response generated by Generative AI may be different depending on the question, instruction, or prompt given by the user.

Generative AI Can Create

📝 Text
🖼️ Images
🎵 Music
🎥 Videos
💻 Computer code

Examples

Microsoft Copilot
ChatGPT
Google Gemini

⭐ Key Point

Generative AI learns patterns from existing data and uses them to generate new content.

5.4.1 Microsoft Copilot 💻

Microsoft Copilot is a generative AI assistant developed by Microsoft that helps users perform tasks such as writing, creating content, analyzing information, and assisting with coding.

Explanation

Copilot can work with Microsoft applications and other productivity tools. It can help users:

Write and edit text
Generate ideas
Summarize information
Assist with programming
Work with documents and data

It can make tasks easier, especially for students, office users, and beginners in programming.

Applications

Writing documents
Coding assistance
Creating summaries
Working with Microsoft tools

5.4.2 ChatGPT 💬

ChatGPT is a generative AI chatbot developed by OpenAI that can understand user prompts and generate human-like responses.

Explanation

ChatGPT was initially known mainly as a text-based chatbot. Modern versions can work with different types of input and content.

It can:

Understand natural language
Answer questions
Generate and edit text
Analyze files
Understand images
Assist with coding and learning

Applications

Education
Writing
Research assistance
Programming
Question answering
Content creation

⭐ Example

A student can ask ChatGPT to explain a computer science concept in simple language.

5.4.3 Gemini 🌐

Gemini is Google's generative AI assistant that can understand and generate information in different forms and work with various Google services.

Explanation

Gemini can act as a digital assistant and help users with tasks such as:

Answering questions
Writing and editing
Summarizing information
Generating ideas
Working with Google services
Understanding different types of information

Applications

Learning
Writing
Research
Productivity
Google Workspace assistance

🔍 Comparison of Popular Generative AI Tools

Tool	Developed By	Main Use
Copilot	Microsoft	Writing, productivity, coding assistance
ChatGPT	OpenAI	Conversation, learning, writing, coding, content generation
Gemini	Google	AI assistance, writing, research, and Google services

🧠 Traditional Computer vs Generative AI

Traditional Computer	Generative AI
Mainly follows predefined instructions.	Can generate new content from prompts.
Works mainly with stored or provided information.	Learns patterns from large datasets.
Does not normally create new human-like content by itself.	Can create text, images, code, music, and other content.
Gives results according to fixed programs.	Can generate different responses for different prompts.

🎨 Activity 1.5: Creating Images Using AI Image Generating Tools

Title: Generating Images Using Generative AI Tools

Objective:

To explore AI image-generating tools and learn how Artificial Intelligence can create images from text prompts.

Tools Used:

DALL·E
Craiyon
Other AI image-generating tools

Procedure:

Open an AI image-generating tool such as DALL·E or Craiyon.
Enter a text prompt describing the image you want to create.
Generate the image using the AI tool.
Try different prompts and compare the generated results.
Select the favorite image and prepare a short caption describing the scene.
Display the image and caption in the class.

Sample Prompts:

Prompt:
"A robot teacher teaching students in a smart classroom with AI technology."

Caption:
"A robot teacher helping students learn in a modern AI-powered classroom."

Prompt:
"Students learning with AI assistants using computers in a futuristic classroom."

Caption:
"Students using Artificial Intelligence tools to improve their learning experience."

Prompt:
"A friendly AI robot helping doctors in a modern hospital."

Caption:
"An intelligent robot assisting doctors with advanced healthcare technology."

Observation:

The AI image generator created new images based on the given text prompts. The generated images showed how Generative AI can understand descriptions and create visual content.

Result:

Successfully created an AI-generated image using a text prompt and learned how Generative AI is used in creative fields.

Learning Outcome:

Understood the concept of Generative AI.
Learned how text prompts can generate images.
Explored applications of AI in education, healthcare, and creativity.

5.5 Application of integrated AI tools such as google doc and email, office 365.

🤖 Integrated AI Tools

Integrated AI tools are AI-powered features built into applications such as Google Docs, email services, and Microsoft 365 to help users perform tasks more easily, quickly, and accurately.

Explanation

AI integration helps users to:

Organize content
Correct grammar and spelling
Write faster
Use voice typing
Translate languages
Summarize information
Analyze data
Improve presentations and communication

These features reduce manual work and increase productivity and efficiency.

📄 Application of AI in Google Docs

1. Smart Compose with Auto-Correction

AI suggests words or sentences while typing and can automatically correct common writing mistakes.

Example: It may suggest the next few words while writing a sentence.

2. Grammar and Spelling

AI identifies grammar and spelling mistakes and suggests corrections.

Example: Incorrect spelling can be underlined and corrected automatically.

3. Voice Typing 🎤

Voice typing allows users to speak instead of type. The spoken words are converted into text.

Example: A student can dictate notes using a microphone.

4. Language Translation 🌐

AI can help translate text from one language into another.

Example: Translating English text into Nepali.

5. Auto Summary 📝

AI can create a short summary of lengthy content, helping users understand the main points quickly.

📧 Application of AI in Email

1. Smart Compose and Quick Reply

AI suggests sentences while writing emails and provides short automatic reply suggestions.

Example: Suggested replies such as “Thank you” or “Sounds good.”

2. Schedule Email ⏰

Email tools allow users to prepare an email and schedule it to be sent at a chosen time.

3. Spam Filtering 🚫

AI identifies unwanted or suspicious emails and automatically sends them to the spam folder.

4. Grammar and Writing Suggestions ✍️

AI checks writing and suggests improvements in grammar, spelling, clarity, and sentence structure.

5. Email Summarization

AI can summarize long email messages or conversations so users can understand the important points quickly.

💻 Application of AI in Microsoft 365

1. AI-Powered Writing Tools in Word

AI can assist users in:

Writing
Editing
Correcting grammar
Summarizing text
Improving documents

2. AI-Driven Data Analysis in Excel 📊

AI can help analyze large amounts of data, identify patterns, and produce useful insights.

Example: AI can help identify trends in sales data.

3. AI-Enhanced Presentations 📽️

AI can help users create and improve presentations by suggesting:

Slide designs
Content
Images
Layouts
Summaries

4. AI-Powered Meetings and Collaboration 👥

AI can support online meetings and teamwork by providing features such as:

Meeting summaries
Transcriptions
Important points
Task suggestions

⭐ Quick Revision Table

Application	AI Features
Google Docs	Smart compose, grammar and spelling, voice typing, translation, auto summary
Email	Smart compose, quick reply, scheduling, spam filtering, writing suggestions, summarization
Microsoft 365	AI writing, data analysis, presentations, meetings and collaboration

5.6 Ethics in AI: Bias, Privacy, and Security

📘 5.6 Ethics in AI

Bias, Privacy and Security

⚖️ Ethics in AI

Definition

Ethics is a set of moral principles that helps people decide what is right or wrong, fair or unfair, and good or bad.

Ethics in AI

Ethics in AI means using and developing AI systems in a way that is fair, safe, responsible, transparent, and respectful of people’s rights and privacy.

Importance of Ethics in AI

Ethics helps ensure that AI systems:

Treat people fairly
Protect personal information
Avoid causing harm
Make responsible decisions
Work transparently
Remain safe and secure

1. Bias in AI ⚠️

Definition

Bias in AI means an AI system makes unfair or unequal decisions because of biased, incomplete, or unbalanced training data.

Explanation

AI systems learn from data. If the training data contains unfair patterns or does not properly represent different groups, the AI may also produce unfair results.

Bias may occur based on:

Gender
Race
Age
Background
Other personal characteristics

Example

If a hiring AI is trained mainly on resumes from men, it may unfairly prefer male applicants and ignore equally qualified women.

Key Point

Biased data can produce biased AI decisions.

2. Privacy in AI 🔐

Definition

Privacy in AI means protecting a person’s personal information and data from unauthorized access, misuse, or disclosure.

Explanation

AI systems may collect and use personal information such as:

Name
Location
Photos
Voice
Search history
Personal preferences

This information should be kept safe and used responsibly.

If personal data is misused, it may lead to:

Identity theft
Spying
Loss of privacy
Unfair treatment
Unauthorized use of information

Key Point

Personal data used by AI should be collected, stored, and used safely and responsibly.

3. Security in AI 🛡️

Definition

AI security means protecting AI systems, data, and models from hacking, tampering, misuse, and other cyber threats.

Explanation

AI depends heavily on data. If attackers change the data or interfere with the AI system, it may produce incorrect or dangerous results.

Example

If the system of a self-driving car is hacked or its data is changed, the car may make an unsafe driving decision.

Methods Used to Improve AI Security

Encryption
Access control
Threat detection
Secure passwords
Regular monitoring and updates

Key Point

AI systems must be protected from cyber threats so that they can work safely and correctly.

🔍 Difference Between Bias, Privacy and Security in AI

Bias	Privacy	Security
Bias means unfair or unequal decisions made by AI.	Privacy means protecting personal information from unauthorized access or misuse.	Security means protecting AI systems and data from cyber threats and attacks.
Mainly related to fairness.	Mainly related to personal information.	Mainly related to system protection.
Can occur because of unfair or incomplete training data.	Can be affected when personal data is collected or shared improperly.	Can be affected by hacking, tampering, or cyber-attacks.
Example: A hiring AI unfairly prefers one group.	Example: Personal data is accessed without permission.	Example: An AI system is hacked and gives wrong results.

5.7 Concept of Internet of Thing (IoT) and its applications

📘 5.7 Internet of Things (IoT) and Its Applications

🌐 Internet of Things (IoT)

Definition

Internet of Things (IoT) is a network of physical objects or devices that use sensors, software, and internet connectivity to collect, exchange, and use data automatically with little or no human intervention.

Explanation

IoT connects everyday devices such as:

Vehicles
Televisions
Home appliances
Sensors
Cameras
Smartwatches
Agricultural devices

These devices collect information from their surroundings and communicate through the internet.

IoT helps to:

Automate tasks
Save time
Save energy
Improve safety
Support emergency response
Make services smarter and more efficient

Example

A smart smoke detector senses smoke and can send an alert so that emergency action can be taken quickly.

Simple Working Process

Sensor → Collect Data → Internet → Process Data → Action

Applications of IoT

1. Smart Education 🎓

Definition

Smart education is the use of IoT devices and connected technologies to improve teaching and learning.

Explanation

IoT can connect classrooms, devices, attendance systems, and learning tools.

Examples

Smart boards
Digital attendance systems
Connected classroom devices

2. Smart Home 🏠

Definition

A smart home uses internet-connected devices to monitor and control household activities automatically.

Explanation

Users can control devices remotely through smartphones or voice assistants.

Examples

Smart lights
Smart locks
Smart thermostats
Smart security cameras

3. Smart City 🏙️

Definition

A smart city uses IoT devices and sensors to improve public services and city management.

Explanation

IoT can help monitor traffic, lighting, waste, pollution, and public safety.

Examples

Smart streetlights
Smart parking
Waste monitoring
Traffic monitoring

4. Smart Transportation 🚗

Definition

Smart transportation uses IoT to monitor vehicles, roads, and traffic for safer and more efficient travel.

Examples

GPS tracking
Traffic monitoring
Smart traffic signals
Vehicle tracking systems

Benefit

It helps reduce traffic problems and improve road safety.

5. Smart Healthcare 🏥

Definition

Smart healthcare uses IoT devices to monitor patients and support medical services.

Examples

Smartwatches
Heart-rate monitors
Remote patient monitoring devices

Benefit

Doctors can monitor some health information remotely and respond more quickly when needed.

6. Smart Agriculture 🌾

Definition

Smart agriculture uses IoT devices and sensors to monitor crops, soil, water, and farming conditions.

Examples

Soil moisture sensors
Automatic irrigation
Weather monitoring
Crop monitoring systems

Benefit

It helps farmers use water and other resources efficiently.

7. Communication 📡

Definition

IoT improves communication between devices by allowing connected objects to send and receive data over the internet.

Examples

Smart devices sharing data
Vehicle-to-device communication
Home automation systems

⭐ Quick Revision Table

Application	Main Use	Example
Smart Education	Improves teaching and learning	Smart board
Smart Home	Automates home devices	Smart light
Smart City	Improves city services	Smart streetlight
Smart Transportation	Improves traffic and travel	GPS tracking
Smart Healthcare	Monitors health	Smartwatch
Smart Agriculture	Improves farming	Soil moisture sensor
Communication	Connects devices	Smart home devices

🧠 Easy to Remember

Education – Home – City – Transport – Health – Agriculture – Communication

⭐ One-Line Exam Answer

IoT is a network of connected physical devices that collect and exchange data through the internet to automate tasks and make services smarter and more efficient.

5.8 Concept of Virtual and Extended Reality (XR)

📘 5.8 Virtual and Extended Reality (XR)

🥽 Virtual Reality (VR)

Definition

Virtual Reality (VR) is a computer-generated environment that creates a realistic virtual experience for users.

Explanation

Using devices such as VR headsets, users can enter and interact with a virtual world.

VR can be used to:

Explore virtual environments
Play immersive games
Attend virtual classrooms
Practice training in simulated situations
Experience places without physically visiting them

Examples

VR games
Virtual classrooms
Flight simulators
Virtual tours

⭐ Key Point

VR creates a completely virtual environment.

🌐 Extended Reality (XR)

Definition

Extended Reality (XR) is a broad term that includes technologies that combine or extend the real world and digital world.

Explanation

XR includes technologies such as:

Virtual Reality (VR)
Augmented Reality (AR)

These technologies make learning, gaming, training, and exploration more interactive and engaging.

🔹 Virtual Reality (VR)

VR creates a fully computer-generated virtual world.

Example:
Using a VR headset to explore a virtual classroom or play a virtual game.

🔹 Augmented Reality (AR)

Definition

Augmented Reality (AR) is a technology that places digital images, information, or objects over the real-world environment.

Explanation

AR does not replace the real world. Instead, it adds digital information to what the user can already see.

It usually works through:

Smartphones
Tablets
Special AR glasses

Example

A mobile app displays a digital object on top of the real-world view through the phone camera.

🔍 Difference Between VR and AR

Virtual Reality (VR)	Augmented Reality (AR)
VR creates a completely virtual environment.	AR adds digital objects or information to the real world.
It replaces the user's real surroundings with a digital world.	It keeps the real world visible and adds digital content to it.
Usually requires a VR headset.	Often works through smartphones, tablets, or AR glasses.
Example: Virtual classroom.	Example: Digital object appearing through a phone camera.

📌 Applications of VR and XR

a. Education 🎓

Definition

VR and XR in education use immersive digital environments to make teaching and learning more interactive.

Applications

Virtual classrooms
Virtual science laboratories
3D educational models
Historical or geographical virtual tours

Example: Students can explore the solar system using a VR headset.

b. Training 🧑‍🏫

Definition

VR and XR training allow people to practice tasks in a simulated environment without real-world risk.

Applications

Driving training
Flight training
Industrial training
Emergency response training

Example: Pilots can practice flying using flight simulators.

c. Health and Medication 🏥

Definition

VR and XR can support healthcare by providing training, therapy, and medical simulations.

Applications

Medical training
Surgical simulation
Rehabilitation
Therapy

Example: Medical students can practice procedures in a virtual environment.

d. Business 💼

Definition

Businesses use VR and XR to improve product demonstration, collaboration, and customer experience.

Applications

Virtual meetings
Product demonstrations
Virtual showrooms
Employee training

Example: Customers can explore a virtual showroom before buying a product.

e. Entertainment 🎮

Definition

VR and XR provide immersive and interactive forms of entertainment.

Applications

VR games
Virtual concerts
Interactive movies
Digital experiences

Example: Players can enter a virtual gaming world using a VR headset.

f. Military and Defense 🪖

Definition

VR and XR are used in military and defense for safe simulation and training.

Applications

Combat training
Flight simulation
Mission planning
Emergency practice

Example: Soldiers can practice difficult situations in a simulated environment.

g. Tourism and Hospitality ✈️

Definition

VR and XR allow users to virtually explore tourist destinations, hotels, and attractions.

Applications

Virtual hotel tours
Virtual destination visits
Travel previews
Museum tours

Example: A tourist can virtually explore a hotel room before booking it.

h. Aeronautics ✈️

Definition

VR and XR are used in aeronautics for aircraft training, design, and simulation.

Applications

Pilot training
Aircraft simulation
Maintenance training
Design testing

Example: Pilots use flight simulators to practice flying safely.

⭐ Quick Revision Table

Area	Use of VR/XR
Education	Virtual learning and 3D models
Training	Safe skill practice
Healthcare	Medical simulation and therapy
Business	Virtual meetings and product demos
Entertainment	VR games and immersive experiences
Military	Combat and mission training
Tourism	Virtual tours
Aeronautics	Flight simulation and pilot training

⭐ One-Line Exam Answer

Virtual Reality creates a fully computer-generated environment, while Extended Reality is a broader term that includes technologies such as VR and AR that connect the real and digital worlds.

5.9 Concept of cloud computing and their applications

📘 5.9 Cloud Computing and Its Applications

☁️ Cloud Computing

Definition

Cloud Computing is a technology that provides services such as data storage, servers, software, databases, and computing resources through the internet.

Explanation

In traditional computing, users or organizations had to purchase, install, and maintain their own:

Hardware
Servers
Software
Storage devices

With cloud computing, many of these services are provided online. Users can access them through the internet without keeping everything on their own computer.

Cloud computing allows users to access services:

From anywhere
At any time
Using different devices
Through an internet connection

Major Cloud Service Providers

Amazon Web Services (AWS)
Microsoft Azure
Google Cloud
IBM Cloud

📂 Examples of Cloud-Based Applications

Common cloud-based applications include:

Google Drive
Dropbox
OneDrive
iCloud

These services allow users to store:

Documents
Photos
Videos
Other files

online and access them whenever needed.

Example

A student can save a project in Google Drive at school and later open the same file from a computer at home.

⭐ Key Point

Cloud computing provides computing resources and services through the internet instead of depending only on a local computer.

✅ Benefits of Cloud Computing

1. Improves Teamwork and Productivity

Multiple users can access, share, and work on files online.

Example: Students can work together on the same Google document.

2. Reduces Hardware Cost

Users do not need to purchase expensive servers or large storage systems for every task.

3. Keeps Data Available

Files stored in the cloud can be accessed from different devices when internet access is available.

4. Provides Advanced Tools and Services

Users can access powerful software, servers, databases, and other technologies online.

⚙️ Features of Cloud Computing

1. On-Demand Service

Users can obtain computing services whenever they need them.

2. Access Anytime, Anywhere

Cloud services can be accessed from different locations using the internet.

3. Scalable Resources

Resources such as storage and computing power can be increased or reduced according to need.

Scalable = Can grow or decrease as required

4. Shared Resources / Resource Pooling

Cloud providers share computing resources among many users efficiently.

5. Security

Cloud providers use security measures to protect systems and data.

6. Easy Maintenance

Much of the infrastructure maintenance is handled by the cloud service provider.

7. Cost-Effective

Users can reduce the cost of purchasing and maintaining their own computing infrastructure.

8. Reliable Performance

Cloud systems are designed to provide dependable and continuous services.

☁️ Services of Cloud Computing

There are three major cloud service models:

SaaS – Software as a Service
PaaS – Platform as a Service
IaaS – Infrastructure as a Service

a. SaaS – Software as a Service 💻

Definition

Software as a Service (SaaS) is a cloud service model in which users can use software applications through the internet without installing and maintaining them on their local device.

Explanation

The software runs on cloud servers, and users usually access it through a web browser or application.

Examples

Gmail
Google Docs
Microsoft 365

Easy Idea

SaaS = Ready-to-use Software

b. PaaS – Platform as a Service 🛠️

Definition

Platform as a Service (PaaS) is a cloud service model that provides an online platform and tools for developing, testing, building, and running software applications.

Explanation

PaaS can provide developers with:

Development tools
Programming environments
Databases
Runtime systems
Testing tools

This allows developers to create applications without managing all the underlying hardware.

Examples

Google App Engine
Microsoft Azure App Service

Easy Idea

PaaS = Platform for Developers

c. IaaS – Infrastructure as a Service 🖥️

Definition

Infrastructure as a Service (IaaS) is a cloud service model that provides virtual computing resources such as servers, storage, and networking through the internet.

Explanation

Instead of purchasing physical servers and networking equipment, organizations can rent these resources from a cloud provider.

Examples

Amazon EC2
Microsoft Azure Virtual Machines
Google Compute Engine

Benefits

IaaS helps users avoid:

High hardware costs
Physical server maintenance
Complex infrastructure management

Easy Idea

IaaS = Virtual Hardware and Infrastructure

🔍 Difference Between SaaS, PaaS and IaaS

SaaS	PaaS	IaaS
Provides ready-to-use software over the internet.	Provides a platform for developing and running applications.	Provides virtual hardware resources over the internet.
Mainly used by end users.	Mainly used by developers.	Mainly used by IT professionals and organizations.
Users do not need to install the software locally.	Developers do not need to manage the full infrastructure.	Users rent servers, storage, and networking resources.
Example: Google Docs	Example: Google App Engine	Example: Amazon EC2

🧠 Easy to Remember

SaaS = Software
PaaS = Platform
IaaS = Infrastructure

💡 Do You Know?

🏙️ Smart Cities

Smart cities use AI and IoT to:

Manage traffic
Save electricity
Monitor public services
Improve waste collection

🏔️ Cloud Access

Cloud computing allows users to access files from almost anywhere, provided they have a suitable internet connection.

🔐 AI and Cybersecurity

AI can help detect suspicious activities and cyber threats and support the protection of online systems and data.

📘 Activity 1.6: Study Cloud Storage

Objective

To study how cloud storage works, understand its importance, and explore its real-life applications.

Steps

Study cloud storage services such as:

Google Drive
OneDrive
Dropbox
iCloud

Find out how files are:

Uploaded
Stored
Synchronized
Shared
Accessed from different devices

Identify the importance of cloud storage.
Explore real-life applications such as:

Storing school assignments
Sharing documents
Backing up photos
Team collaboration
Accessing files from different devices

Prepare a simple presentation.
Present your findings in the class.

Simple Working of Cloud Storage

User Device → Internet → Cloud Server → Store Data → Access from Any Connected Device

Learning Outcome

After completing this activity, students should understand:

How cloud storage works
Why cloud storage is useful
How cloud services are used in daily life
How users can store, share, and access files online

⭐ Quick Revision

Topic	Main Idea
Cloud Computing	Provides computing services through the internet
Cloud Storage	Stores files online
SaaS	Provides ready-to-use software
PaaS	Provides a software development platform
IaaS	Provides virtual computing infrastructure
Scalability	Resources can increase or decrease as needed
Resource Pooling	Resources are shared among users

⭐ One-Line Exam Answer

Cloud computing is a technology that provides storage, software, servers, databases, and other computing resources over the internet so that users can access them from anywhere and anytime.

5.10 Concept of e-Commerce, e-Governance and e-Education

📘 5.10 Concept of e-Commerce, e-Governance and e-Education

The development of ICT tools and the internet has changed the way people perform daily activities. Today, people can shop, run businesses, access government services, and study online without always being physically present at a particular place.

🛒 e-Commerce

Definition

e-Commerce (Electronic Commerce) is the process of buying and selling goods or services through the internet.

Explanation

e-Commerce allows customers and businesses to carry out commercial activities online.

People can:

Search for products
Compare prices
Place orders
Make payments
Receive goods at home

Examples

Online shopping websites
Online food ordering
Online ticket booking
Online payment for products and services

✅ Merits of e-Commerce

Shopping from home
Customers can buy products without visiting a physical shop.
Saves time
Online shopping reduces travel and waiting time.
Available 24/7
Goods and services can be searched and ordered at any time.
Access to international products
Customers can purchase products from other countries.
Doorstep delivery
Purchased goods can be delivered directly to the customer's address.

⚠️ Limitations of e-Commerce

Product may differ from what is shown
The delivered item may not always match the image or description.
Risk of scams and fraud
Users may face fake websites, payment fraud, or dishonest sellers.
Less face-to-face interaction
Online shopping reduces direct communication between buyers and sellers.
Dependency on technology
e-Commerce depends on internet access, devices, and digital systems.
Delivery delays
Goods may sometimes arrive later than expected.

🏛️ e-Governance

Definition

e-Governance is the use of digital devices, the internet, and communication technologies to provide government services and information to citizens.

Explanation

e-Governance changes many traditional manual government services into digital services.

Citizens can use government websites and online systems for services such as:

Passport applications
License-related services
Citizenship-related services
Government information
Online forms and payments

Its main aim is to make government services more:

Efficient
Transparent
Accessible
Citizen-friendly

Simple Idea

Government Services + ICT + Internet = e-Governance

✅ Merits of e-Governance

1. Improves Transparency

Citizens can track government services and processes more openly.

2. Ensures Accountability

Digital records can make officials and departments more responsible for their work.

3. Faster Service Delivery

Online systems can reduce paperwork and waiting time.

4. Better Accessibility

Citizens can access many services without repeatedly visiting government offices.

5. Helps Reduce Corruption

Reducing unnecessary face-to-face interactions can lower some opportunities for bribery and misuse.

⚠️ Limitations of e-Governance

1. Digital Divide

Not everyone has equal access to computers, smartphones, or reliable internet.

2. Technical Failures

System errors, server problems, or internet failures may interrupt services.

3. Lack of Digital Literacy

Some citizens may not have enough knowledge or skills to use digital government services properly.

🎓 e-Education

Definition

e-Education is the use of digital technologies and the internet to carry out teaching and learning activities.

Explanation

In traditional education, students generally needed to attend classrooms physically and depended mainly on teachers and printed books.

With e-Education, learners can access:

Online lessons
Videos
Digital notes
Assignments
Quizzes
Examinations
Online courses

using devices such as:

Computers
Tablets
Smartphones

Students can learn from different places and, in many cases, at flexible times.

✅ Merits of e-Education

1. Learning at Own Pace

Students can study according to their own learning speed.

2. Wide Variety of Learning Materials

Learners can access videos, e-books, tutorials, and online courses.

3. Learn Anytime and Anywhere

Students can access learning materials from different locations.

4. Can Be More Affordable

Some online learning resources cost less than traditional classroom-based learning.

5. Flexible and Convenient

Students can manage their learning according to their available time.

⚠️ Limitations of e-Education

1. Lack of Face-to-Face Interaction

Students may have less direct interaction with teachers and classmates.

2. Technical Problems

Poor internet connection or device problems can interrupt learning.

3. Variation in Quality

The quality of online content and instruction may differ from one platform to another.

🔍 Difference Between e-Commerce, e-Governance and e-Education

e-Commerce	e-Governance	e-Education
Buying and selling goods or services through the internet.	Providing government services and information using digital technologies and the internet.	Providing teaching and learning through digital technologies and the internet.
Mainly related to business and trade.	Mainly related to government and citizens.	Mainly related to teaching and learning.
Used by buyers, sellers, and businesses.	Used by governments and citizens.	Used by students, teachers, and educational institutions.
Example: Online shopping.	Example: Online passport application.	Example: Online classes.

🧠 Easy to Remember

e-Commerce = Online Business
e-Governance = Online Government Services
e-Education = Online Learning

📘 Activity 1.7: Emerging Technologies in Today’s IT Era

Objective

To identify popular emerging technologies, their key features, and their influence on the IT industry.

S.N.	Emerging Technology	Key Features	Influence on IT Industry
1	Artificial Intelligence (AI)	Learning, reasoning, automation, decision-making	Automates tasks and improves intelligent systems
2	Machine Learning (ML)	Learns from data and finds patterns	Improves prediction, recommendation, and automation
3	Internet of Things (IoT)	Connects physical devices through the internet	Enables smart homes, cities, healthcare, and industries
4	Cloud Computing	Online storage, servers, software, and scalable resources	Reduces infrastructure cost and enables

✅ Exercise: Choose the Correct Answer

⭐ Class 10 Computer Science

i. Which of the following is not related to AI?
a. Behaving like human
b. Learning from past experience
✅ c. Putting human brain in machine
d. Solving problems themselves

ii. Which of the following is an example of AI?
a. Self-driving cars b. Siri c. Alexa ✅ d. All of the above

iii. Which of the following is not an application of AI?
a. Gaming b. Expert system c. Automated grading ✅ d. Manual typewriting

iv. In which type of learning is trained data used with correct answers?
✅ a. Supervised b. Supervised c. Unsupervised d. Semi unsupervised

v. Which of the following learning has no hints or labels in data?
a. Supervised b. Supervised ✅ c. Unsupervised d. Semi unsupervised

vi. Choose the AI chatbot developed by Google.
a. Deepseek b. Copilot c. ChatGPT ✅ d. Gemini

vii. If you are a programmer, which chatbot will be more beneficial for you?
✅ a. Copilot b. ChatGPT c. Deepseek d. Gemini

viii. Which of the following is a service of cloud computing?
a. IaaS b. SaaS c. PaaS ✅ d. All of the above

ix. What is the process of buying and selling goods online called?
✅ a. E-commerce b. Daraz c. Online shopping d. None of the above

x. Which of the following is an e-Education tool?
✅ a. Google Classroom b. ChatGPT c. Zoom d. Google Meet

xi. Which of the following is an example of e-Governance?
✅ a. Online driving license renewal b. Online passport c. Online fuel d. Online result

📘 Unit 5: Short Answer Questions

a. Write any two popular e-commerce sites in Nepal.

Daraz Nepal
SastoDeal

b. Define e-governance.

e-Governance is the use of digital technologies, the internet, and communication systems to provide government services and information to citizens.

c. Mention any two applications of AI.

Natural Language Processing (NLP)
Computer Vision

d. Which chatbots are useful for generating texts and images? Mention any two.

ChatGPT
Google Gemini

e. List any two applications of VR.

Education and training
Entertainment and gaming

f. Write two advantages of e-education.

Students can learn anytime and anywhere.
Learners can study at their own pace.

g. Write two examples of e-governance in Nepal.

Online passport application
Online driving licence services

h. What are the two popular e-commerce websites of Nepal?

Daraz Nepal
SastoDeal

i. Write two applications of cloud computing.

Online data storage and backup
Using software and services through the internet

j. List any four popular Generative AI tools.

ChatGPT
Google Gemini
Microsoft Copilot
Claude

Long Answer Questions

a. Define Artificial Intelligence (AI). Describe at least five of its practical applications in daily life.

Definition

Artificial Intelligence (AI) is a branch of computer science that focuses on creating machines and computer systems capable of performing tasks that normally require human intelligence, such as learning, reasoning, problem-solving, understanding language, and making decisions.

Applications of AI

1. Gaming
AI is used in games such as chess and strategy games. It analyzes possible moves and makes intelligent decisions against human players.

2. Natural Language Processing (NLP)
AI helps computers understand and respond to human language. Voice assistants such as Siri and Alexa use NLP to understand spoken commands.

3. Personalized Learning
AI-based learning systems can provide lessons according to a student's ability, progress, and learning speed.

4. Expert Systems
Expert systems use stored knowledge and rules to provide advice or solve problems. For example, medical expert systems can help doctors analyze symptoms.

5. Computer Vision
AI can recognize and analyze images and videos. Face unlock in smartphones is a common example.

6. Intelligent Robots
AI-powered robots can sense their surroundings and perform tasks in factories, hospitals, and other areas.

Conclusion

Therefore, AI is widely used in everyday life to make machines smarter, faster, and more capable of performing complex tasks.

b. What is Machine Learning (ML)? Explain how Machine Learning is related to Artificial Intelligence with suitable examples.

Definition

Machine Learning (ML) is a subset of Artificial Intelligence that enables computers to learn from data and improve their performance without being directly programmed for every task.

Relationship Between AI and ML

Artificial Intelligence is the broader concept of making machines intelligent, while Machine Learning is one of the methods used to achieve AI.

AI may involve:

Reasoning
Problem-solving
Planning
Language understanding
Decision-making

Machine Learning mainly focuses on:

Learning from data
Finding patterns
Making predictions
Improving through experience

Example 1: Cat and Dog Recognition

Instead of programming every feature of a cat and dog, a computer is given many labelled images. ML helps it learn the differences and later identify new images.

Example 2: Google Maps

Google Maps can use traffic and route data to suggest suitable routes. Machine Learning helps the system learn patterns from large amounts of data.

Conclusion

AI makes machines intelligent, while ML helps AI systems learn from data and improve through experience.

c. Describe any four major applications of Machine Learning in real-world scenarios.

1. Healthcare

Machine Learning can analyze medical information and assist in identifying patterns in scans or patient data.

Example: ML can help identify abnormalities in medical images.

2. Transportation

ML is used in self-driving vehicles to recognize:

Roads
Traffic signs
Pedestrians
Other vehicles

It helps vehicles make decisions such as turning, slowing down, or stopping.

3. Education

ML can support personalized learning by studying a student's performance and providing suitable learning materials.

Example: A learning application may provide easier or harder questions depending on the learner's progress.

4. Banking and Fraud Detection

Banks use ML to identify unusual or suspicious transactions.

Example: If a transaction is very different from a customer's normal activity, the system may flag it for verification.

Other Applications

ML is also used in:

Email spam detection
Speech recognition
Social media recommendations
Cybersecurity

Conclusion

Machine Learning is useful because it allows computers to learn from large amounts of data and make useful predictions or decisions.

d. Differentiate between Supervised and Unsupervised Learning. Use examples to illustrate how each type functions.

Supervised Learning	Unsupervised Learning
Supervised learning is a Machine Learning technique in which a computer learns from labelled data with known answers.	Unsupervised learning is a Machine Learning technique in which a computer learns from unlabelled data and finds patterns by itself.
The training data contains correct answers or labels.	The training data does not contain labels.
It learns the relationship between input and output.	It finds similarities, groups, or hidden patterns.
It works like learning with a teacher.	It works like learning without a teacher.
Mainly used for classification and prediction.	Mainly used for grouping and pattern discovery.
Example: Classifying an email as spam or not spam.	Example: Grouping customers according to shopping behaviour.

Example of Supervised Learning

A computer is trained using images labelled Tiger and Lion. Later, when a new image is provided, it predicts whether the image is a tiger or a lion.

Example of Unsupervised Learning

If tiger and lion images are provided without labels, the computer studies their characteristics and may separate them into different groups.

Conclusion

The main difference is that supervised learning uses labelled data, whereas unsupervised learning works with unlabelled data and discovers patterns independently.

e. Explain the role of Robotics in modern industries. Discuss how robots have transformed sectors like healthcare, manufacturing, or education.

Definition

Robotics is the field concerned with designing, building, programming, and operating robots to perform different tasks.

When Artificial Intelligence is used with robotics, robots can sense their surroundings, process information, make decisions, and perform tasks more intelligently.

Role of Robotics in Modern Industries

1. Manufacturing
Robots are widely used in factories for:

Assembly
Welding
Packaging
Painting
Material handling

They improve speed, accuracy, and productivity.

2. Healthcare
Robots can assist doctors during complex medical procedures and perform precise tasks.

They may also be used for:

Patient support
Medicine delivery
Rehabilitation
Hospital assistance

3. Education
Educational robots can help students understand programming, engineering, and problem-solving through practical activities.

4. Dangerous Environments
Robots can work in places that are unsafe for humans, such as:

Bomb disposal areas
Fires
Nuclear environments
Deep oceans
Space

Benefits of Robotics

Robots help to:

Increase efficiency
Improve safety
Reduce human effort
Perform repetitive tasks
Improve accuracy
Work in dangerous areas

Conclusion

Robotics has transformed many sectors by making work safer, faster, more accurate, and efficient.

f. What is Generative AI? Discuss its importance and how it is changing the way we create digital content.

Definition

Generative AI is a type of Artificial Intelligence that can create new content such as text, images, audio, music, computer code, and videos.

How Generative AI Works

Generative AI learns patterns from large amounts of data. When a user provides a prompt, the system uses what it has learned to generate a suitable response.

Importance of Generative AI

1. Faster Content Creation
It can generate text, images, and other digital content quickly.

2. Helps in Education
Students can use it to understand concepts, generate ideas, and practice learning.

3. Supports Writing
Generative AI can help create drafts, summaries, and written content.

4. Image Creation
AI image generators can create new images from text descriptions.

5. Programming Assistance
Generative AI can help programmers understand and generate computer code.

Examples

ChatGPT
Microsoft Copilot
Google Gemini
AI image generators

Conclusion

Generative AI is changing digital content creation by making it possible to produce text, images, code, audio, and other content quickly from simple prompts.

g. Discuss the role of the Internet of Things (IoT) in the development of smart cities. Include examples of how IoT improves urban life.

Definition

Internet of Things (IoT) is a network of physical devices equipped with sensors and internet connectivity that can collect, exchange, and use data automatically.

Role of IoT in Smart Cities

1. Smart Traffic Management
Sensors can monitor road traffic and help control traffic signals.

Example: Traffic lights may adjust according to traffic conditions.

2. Smart Street Lighting
IoT-enabled lights can turn on, off, or adjust brightness according to need.

This helps save electricity.

3. Waste Management
Sensors in waste bins can detect when they are full and notify collection services.

4. Smart Parking
IoT sensors can help drivers locate available parking spaces.

5. Environmental Monitoring
Sensors can monitor:

Air pollution
Temperature
Noise
Water quality

6. Public Safety
Connected cameras, alarms, and sensors can support emergency services.

Conclusion

IoT helps smart cities become more efficient, connected, safe, and environmentally friendly by allowing devices and systems to communicate automatically.

h. Analyze the merits and demerits of e-Commerce. Provide examples to support your answer.

Definition

e-Commerce (Electronic Commerce) is the process of buying and selling goods or services through the internet.

Merits of e-Commerce

1. Shopping from Home
Customers can purchase products without visiting physical shops.

2. Saves Time
Online shopping reduces travelling and waiting time.

3. Available 24/7
Customers can search and order products at any time.

4. Access to International Products
People can purchase products from sellers in other countries.

5. Doorstep Delivery
Products can be delivered directly to the customer's home.

Demerits of e-Commerce

1. Product May Differ from Description
The actual product may sometimes differ from the image shown online.

2. Risk of Fraud
Fake websites and online scams may cause financial loss.

3. Less Personal Interaction
There is less face-to-face communication between buyers and sellers.

4. Dependence on Technology
e-Commerce requires internet access and digital devices.

5. Delivery Problems
Products may arrive late or be damaged during delivery.

Example

A customer may purchase a mobile phone online and receive it at home, saving time. However, there may also be a risk of receiving the wrong item or facing a delivery delay.

Conclusion

e-Commerce provides convenience, speed, and wider choices, but users must also be aware of fraud, delivery problems, and product-quality issues.

i. How does e-Governance enhance service delivery to citizens? Discuss with examples from health, education, or transport.

Definition

e-Governance is the use of digital technologies, the internet, and communication systems to provide government services and information to citizens.

How e-Governance Improves Service Delivery

1. Faster Services
Citizens can complete many processes online without waiting in long queues.

2. Greater Transparency
People can track applications and government processes digitally.

3. Better Accessibility
Citizens can access services from different locations.

4. Reduced Paperwork
Digital forms and records reduce the need for physical documents.

5. Improved Accountability
Electronic records make it easier to monitor government activities.

Examples

Health:
Citizens may access online health information, appointments, or health-related government services.

Education:
Students can access examination notices, results, scholarship information, and educational resources online.

Transport:
People may use online systems for license-related services, vehicle information, or transport-related applications.

Conclusion

e-Governance improves public service delivery by making government services faster, more accessible, transparent, and convenient.

j. Evaluate the advantages of e-Education. How has it changed the traditional learning environment for students and teachers?

Definition

e-Education is the use of digital technology and the internet for teaching and learning activities.

Advantages of e-Education

1. Learning Anytime and Anywhere
Students can study from different places using internet-connected devices.

2. Learning at Own Pace
Learners can repeat lessons and study according to their speed.

3. Wide Range of Learning Materials
Students can access:

Videos
E-books
Online tutorials
Digital notes
Quizzes

4. Flexible Learning
Students and teachers can participate in classes without always being physically present.

5. Cost Saving
Some online materials and courses can reduce travel and textbook costs.

Changes in Traditional Learning

For Students:

Learning is no longer limited to classrooms.
Lessons can be accessed online.
Students can use multimedia resources.
Learning can become more flexible.

For Teachers:

Teachers can share digital materials.
Online assignments and assessments can be used.
Video conferencing can support remote teaching.
Digital tools can make lessons more interactive.

Conclusion

e-Education has changed traditional education by making learning more flexible, accessible, digital, and learner-centered.

k. Define Cloud Computing. List and explain any four major services provided by Cloud Computing platforms.

Definition

Cloud Computing is a technology that provides computing services such as storage, servers, software, databases, and other resources through the internet.

Instead of storing everything or running every program on a local computer, users can access these services online.

Four Major Cloud Services

1. Software as a Service (SaaS)

SaaS provides ready-to-use software applications through the internet.

Users do not need to install or maintain the software locally.

Examples:
Google Docs, Gmail, Microsoft 365

2. Platform as a Service (PaaS)

PaaS provides an online environment for developers to develop, test, and run applications.

It can provide:

Programming tools
Databases
Runtime environments
Development tools

Examples:
Google App Engine, Microsoft Azure App Service

3. Infrastructure as a Service (IaaS)

IaaS provides virtual computing resources such as:

Servers
Storage
Networks
Virtual machines

through the internet.

It reduces the need to purchase and maintain physical hardware.

Examples:
Amazon EC2, Google Compute Engine, Azure Virtual Machines

4. Cloud Storage

Cloud Storage allows users to store files and data on remote internet-based servers.

Users can access files from different devices and locations.

Examples:
Google Drive, OneDrive, Dropbox, iCloud

Conclusion

Cloud computing provides users and organizations with flexible, scalable, and internet-based access to software, platforms, infrastructure, and storage services.

🧠 Easy to Remember

SaaS = Software
PaaS = Platform
IaaS = Infrastructure
Cloud Storage = Online File Storage

SEE COMPUTER SCIENCE - CDC NEW CURRICULUM 2083 - CLASS 9 AND10

Saturday, September 26, 2026

Unit 5 – AI and Contemporary Technology

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