CBSE | Department of Skill Education

‘Shiksha Sadan’, 17, Rouse Avenue, Institutional Area, New Delhi -110002

ARTIFICIAL INTELLIGENCE (CODE 417)

CURRICULUM FOR CLASS IX (INSPIRE AND ACQUIRE MODULE)

OBJECTIVE

The objective of this module/curriculum - which combines both Inspire and Acquire modules is to develop a readiness for understanding and appreciating Artificial Intelligence and its application in our lives. This module/curriculum focuses on:

1.Helping learners understand the world of Artificial Intelligence and its applications through games, activities and multi-sensorial learning to become AI-Ready.

2.Introducing the learners to three domains of AI in an age appropriate manner.

3.Allowing the learners to construct meaning of AI through interactive participation and engaging hands-on activities.

4.Introducing the learners to AI Project Cycle.

5.Introducing the learners to programming skills - Basic python coding language.

LEARNING OUTCOMES

Learners will be able to

1.Identify and appreciate Artificial Intelligence and describe its applications in daily life.

2.Relate, apply and reflect on the Human-Machine Interactions to identify and interact with the three domains of AI: Data, Computer Vision and Natural Language Processing and Undergo assessment for analysing their progress towards acquired AI-Readiness skills.

3.Imagine, examine and reflect on the skills required for futuristic job opportunities.

4.Unleash their imagination towards smart homes and build an interactive story around it.

5.Understand the impact of Artificial Intelligence on Sustainable Development Goals to develop responsible citizenship.

6.Research and develop awareness of skills required for jobs of the future.

7.Gain awareness about AI bias and AI access and describe the potential ethical considerations of AI.

8.Develop effective communication and collaborative work skills.

9.Get familiar and motivated towards Artificial Intelligence and Identify the AI Project Cycle framework.

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10.Learn problem scoping and ways to set goals for an AI project and understand the iterative nature of problem scoping in the AI project cycle.

11.Brainstorm on the ethical issues involved around the problem selected.

12.Foresee the kind of data required and the kind of analysis to be done, identify data requirements and find reliable sources to obtain relevant data.

13.Use various types of graphs to visualise acquired data.

14.Understand, create and implement the concept of Decision Trees.

15.Understand and visualise computer’s ability to identify alphabets and handwritings.

16.Understand and appreciate the concept of Neural Network through gamification and learn basic programming skills through gamified platforms.

17.Acquire introductory Python programming skills in a very user-friendly format.

UNIT WISE DISTRIBUTION

 

UNIT

 

 

NAME OF THE UNIT

 

 

SUB-UNIT

 

 

DURATION

 

 

PERIODS

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Excite

 

2 Hours 40 Mins.

 

4 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Relate

 

02 Hours

 

3 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

1

 

INTRODUCTION TO AI

 

Purpose

 

02 Hours

 

3 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Possibilities

 

02 Hours

 

3 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

AI Ethics

 

3 Hours 20 Mins.

 

5 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Problem Scoping

 

14 Hours

 

21 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Data Acquisition

 

02 Hours

 

3 Periods

2

 

AI PROJECT CYCLE

 

 

 

 

 

 

 

 

 

 

 

Data Exploration

 

04 Hours

 

6 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Modelling

 

06 Hours

 

9 Periods

 

 

 

 

 

 

 

 

 

 

3

 

NEURAL NETWORK

 

 

 

 

04 Hours

 

6 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

4

 

INTRODUCTION TO

 

 

 

 

70 Hours

 

105 Periods

 

PYTHON

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

TOTAL

 

 

 

 

112 Hours

 

168 Periods

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

CBSE | Department of Skill Education

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COURSE OUTLINE

 

 

 

 

UNIT

SUB-UNIT

 

SESSION / ACTIVITY / PRACTICAL

 

 

 

Session: Introduction to AI and setting up the

 

 

 

 

 

 

context of the curriculum

 

 

 

Ice Breaker Activity: Dream Smart Home

 

 

 

idea

 

 

 

Learners to design a rough layout of floor

 

 

 

plan of their dream smart home.

 

 

 

Recommended Activity: The AI Game

 

 

 

Learners to participate in three games based

 

 

 

on different AI domains.

∙Game 1: Rock, Paper and Scissors (based on data)

∙Game 2: Mystery Animal (based on

Excite

Natural Language Processing - NLP)

 

∙ Game 3: Emoji Scavenger Hunt (based

TO AI

on Computer Vision - CV)

Recommended Activity: AI Quiz (Paper

INTRODUCTION

Pen/Online Quiz)

 

 

Recommended Activity: To write a letter

 

Writing a Letter to one’s future self

 

∙ Learners to write a letter to self-keeping

 

the future in context. They will describe

 

what they have learnt so far or what they

 

would like to learn someday

Video Session: To watch a video

Relate Introducing the concept of Smart Cities,

Smart Schools and Smart Homes

Recommended Activity: Write an

Interactive Story

Learners to draw a floor plan of a Home/School/City and write an interactive story around it using Story Speaker extension in Google docs.

LEARNING OUTCOMES

To identify and appreciate

Artificial Intelligence and describe its applications in daily life.

To relate, apply and reflect on the Human-Machine Interactions.

To identify and interact with the three domains of AI: Data, Computer Vision and Natural Language Processing.

To undergo an assessment

for analysing progress towards acquired AI- Readiness skills.

To imagine, examine and reflect on the skills required for futuristic job opportunities.

Learners to relate to

application of Artificial Intelligence in their daily lives.

To unleash their imagination towards smart homes and build an interactive story around it.

To relate, apply and reflect on the Human-Machine Interactions.

CBSE | Department of Skill Education

Page 3 of 7

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

UNIT

 

 

SUB-UNIT

 

 

SESSION / ACTIVITY / PRACTICAL

 

 

LEARNING OUTCOMES

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Session: Introduction to sustainable

 

To understand the impact of

 

 

 

 

 

 

 

 

 

 

 

development goals

 

 

 

 

 

 

 

 

 

 

 

 

 

Artificial Intelligence on

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Purpose

 

Recommended Activity: Go Goals Board

 

Sustainable Development

 

 

 

 

 

 

 

 

 

Game

 

 

 

 

 

 

 

 

 

 

 

 

 

Goals to develop

 

 

 

 

 

 

 

 

 

 

 

Learners to answer questions on Sustainable

 

 

 

 

 

 

 

 

 

 

 

 

 

responsible citizenship.

 

 

 

 

 

 

 

 

 

 

 

Development Goals

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Session: Theme-based research and Case

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Studies

 

 

 

 

 

 

 

 

 

 

 

 

 

 

∙ Learners will listen to various case-

 

To research and develop

 

 

 

 

 

 

 

 

 

 

 

studies of inspiring start-ups, companies

 

awareness of skills required

 

 

 

 

 

 

 

 

 

 

 

or communities where AI has been

 

for jobs of the future.

 

 

 

 

 

 

 

 

 

 

 

involved in real-life.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

∙ Learners will be allotted a theme around

 

 

 

 

 

 

 

 

 

 

 

 

 

 

which they need to search for present AI

 

To imagine, examine and

 

 

 

 

 

 

 

 

 

 

 

trends and have to visualise the future of

 

 

 

 

 

 

 

 

 

 

 

 

 

reflect on the skills required

 

 

 

 

 

 

 

Possibilities

 

AI in and around their respective theme.

 

 

 

 

 

 

 

 

 

 

for the futuristic

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

opportunities.

 

 

 

 

 

 

 

 

 

 

 

Recommended Activity: Job Ad Creating

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

activity

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Learners to create a job advertisement for a

 

To develop effective

 

 

 

 

 

 

 

 

 

 

 

firm describing the nature of job available

 

 

 

 

 

 

 

 

 

 

 

 

and the skill-set required for it 10 years down

 

communication and

 

 

 

 

 

 

 

 

 

 

 

the line. They need to figure out how AI is

 

collaborative work skills.

 

 

 

 

 

 

 

 

 

 

 

going to transform the nature of jobs and

 

 

 

 

 

 

 

 

 

 

 

 

 

 

create the Ad accordingly.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Video Session: Discussing about AI Ethics

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

To understand and reflect

 

 

 

 

 

 

 

 

 

 

 

Recommended Activity: Ethics Awareness

 

 

 

 

 

 

 

 

 

 

 

 

 

on the ethical issues around

 

 

 

 

 

 

 

 

 

 

 

Students play the role of major stakeholders

 

 

 

 

 

 

 

 

 

 

 

 

 

AI.

 

 

 

 

 

 

 

 

 

 

 

and they have to decide what is ethical and

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

what is not for a given scenario.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Session: AI Bias and AI Access

 

 

 

 

 

 

 

 

 

 

 

 

 

 

∙ Discussing about the possible bias in data

 

To gain awareness around

 

 

 

 

 

 

 

 

AI Ethics

 

collection

 

AI bias and AI access.

 

 

 

 

 

 

 

 

 

∙ Discussing about the implications of AI

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

technology

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Recommended Activity: Balloon Debate

 

 

 

 

 

 

 

 

 

 

 

 

 

 

∙ Students divide in teams of 3 and 2 teams

 

To let the students analyse

 

 

 

 

 

 

 

 

 

 

 

are given same theme. One team goes in

 

 

 

 

 

 

 

 

 

 

 

 

 

the advantages and

 

 

 

 

 

 

 

 

 

 

 

affirmation to AI for their section while

 

 

 

 

 

 

 

 

 

 

 

 

 

disadvantages of Artificial

 

 

 

 

 

 

 

 

 

 

 

the other one goes against it.

 

 

 

 

 

 

 

 

 

 

 

 

 

Intelligence.

 

 

 

 

 

 

 

 

 

 

 

∙ They have to come up with their points as

 

 

 

 

 

 

 

 

 

 

 

 

to why AI is beneficial/harmful for the

 

 

 

 

 

 

 

 

 

 

 

 

 

 

society.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

CBSE | Department of Skill Education

 

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UNIT

SUB-UNIT

SESSION / ACTIVITY / PRACTICAL

 

 

 

Session: Introduction to AI Project Cycle

∙Problem Scoping

∙Data Acquisition

∙Data Exploration

∙Modelling

∙Evaluation

Activity: Brainstorm around the theme provided and set a goal for the AI project.

∙Discuss various topics within the given theme and select one.

∙List down/ Draw a mindmap of problems related to the selected topic and choose one problem to be the goal for the project.

Activity: To set actions around the goal.

∙List down the stakeholders involved in

 

Problem

the problem.

CYCLE

Scoping

∙ Search on the current actions taken to

 

solve this problem.

 

∙ Think around the ethics involved in the

PROJECT

 

goal of your project.

 

Activity: Data and Analysis

 

 

 

 

∙ What are the data features needed?

AI

 

∙ Where can you get the data?

 

∙ How frequent do you have to collect the

 

 

 

 

data?

 

 

∙ What happens if you don’t have enough

 

 

data?

 

 

∙ What kind of analysis needs to be done?

 

 

∙ How will it be validated?

 

 

∙ How does the analysis inform the action?

 

 

Presentation: Presenting the goal, actions

 

 

and data.

 

Data

Activity: Introduction to data and its types.

 

Acquisition

Students work around the scenarios given to

 

 

them and think of ways to acquire data.

 

Data

Session: Data Visualisation

 

∙ Need of visualising data

 

Exploration

∙ Ways to visualise data using various types

 

 

of graphical tools.

LEARNING OUTCOMES

Identify the AI Project Cycle framework.

Learn problem scoping and ways to set goals for an AI project.

Identify stakeholders involved in the problem scoped.

Brainstorm on the ethical issues involved around the problem selected.

Understand the iterative nature of problem scoping for in the AI project cycle.

Foresee the kind of data required and the kind of analysis to be done.

Share what the students have discussed so far.

Identify data requirements and find reliable sources to obtain relevant data.

To understand the purpose of Data Visualisation

CBSE | Department of Skill Education

Page 5 of 7

 

 

 

UNIT

SUB-UNIT

SESSION / ACTIVITY / PRACTICAL

 

 

 

Recommended Activity: Let’s use

Graphical Tools

∙To decide what kind of data is required for a given scenario and acquire the same.

∙To select an appropriate graphical format to represent the data acquired.

∙Presenting the graph sketched.

Session: Decision Tree

To introduce basic structure of Decision

Trees to students.

Recommended Activity: Decision Tree To design a Decision Tree based on the data given.

Modelling Recommended Activity: Pixel It

∙To create an “AI Model” to classify handwritten letters.

∙Students develop a model to classify handwritten letters by diving the alphabets into pixels.

∙Pixels are then joined together to analyse a pattern amongst same alphabets and to differentiate the different ones.

 

 

Session: Introduction to neural network

 

 

∙ Relation between the neural network and

 

 

nervous system in human body

 

 

∙ Describing the function of neural

NETWORK

 

network.

 

representing input layer (X students),

 

 

 

Recommended Activity: Creating a Human

 

 

Neural Network

 

 

∙ Students split in four teams each

NEURAL

 

hidden layer 1 (Y students), hidden layer

 

∙ Input layer gets data which is passed on

 

 

2 (Z students) and output layer (1

 

 

student) respectively.

 

 

to hidden layers after some processing.

 

 

The output layer finally gets all

 

 

information and gives meaningful

 

 

information as output.

 

 

 

LEARNING OUTCOMES

Use various types of graphs to visualise acquired data.

Understand, create and implement the concept of Decision Trees.

Understand and visualise computer’s ability to identify alphabets and handwritings.

Understand and appreciate the concept of Neural Network through gamification.

CBSE | Department of Skill Education

Page 6 of 7

 

 

 

 

 

 

UNIT

SUB-UNIT

 

SESSION / ACTIVITY / PRACTICAL

 

 

 

 

Recommended Activity: Introduction to

 

 

 

 

 

 

 

 

programming using Online Gaming portals

 

 

 

 

like Code Combat.

 

 

 

 

Session: Introduction to Python language

 

PYTHON

 

 

Introducing python programming and its

 

 

 

applications

 

 

 

 

 

 

 

 

Practical: Python Basics

 

TO

 

 

∙ Students go through lessons on Python

 

 

 

Basics

 

 

 

 

 

INTRODUCTION

 

 

(Variables, Arithmetic Operators,

 

 

 

Expressions, Data Types - integer, float,

 

 

 

 

 

 

 

 

strings, using print() and input()

 

 

 

 

functions)

 

 

 

 

∙ Students will try some simple problem

 

 

 

 

solving exercises on Python Compiler.

 

 

 

 

Practical: Python Lists

 

 

 

 

∙ Students go through lessons on Python

 

 

 

 

Lists (Simple operations using list)

 

 

 

 

∙ Students will try some basic problem

 

 

 

 

solving exercises using lists on Python

 

 

 

 

Compiler.

 

 

 

 

 

LEARNING OUTCOMES

Learn basic programming skills through gamified platforms.

Acquire introductory Python programming skills in a very user-friendly format.

SKILLS TO BE DEVELOPED

CBSE | Department of Skill Education

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