Artificial Intelligence is an optional subject offered to students that focuses on the technology that creates artificial intelligence or interfaces that perform functions to emulate human intelligence and cranial capacity.
CBSE Class 9 English Syllabus |
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CBSE Class 9 Science Syllabus |
CBSE Class 9 IT Syllabus |
The syllabus for Artificial Intelligence for the year of 2024-2025 is divided into 4 parts. The curriculum as well as the marking scheme us given below.
Marking Scheme
UNITS | MAX. MARKS for Theory and Practical | ||
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Employability Skills | |||
Unit 1: Communication Skills-I | 5 | ||
Unit 2: Self-Management Skills-I | |||
Unit 3: ICT Skills-I | |||
Unit 4: Entrepreneurial Skills-I | 5 | ||
Unit 5: Green Skills-I | |||
Total | 10 | ||
Subject Specific Skills | |||
Unit 1: Introduction to Artificial Intelligence (AI) | 10 | ||
Unit 2: AI Project Cycle | 10 | ||
Unit 3: Neural Network | 5 | ||
Unit 4: Introduction to Python | 15 | ||
Total | 40 | ||
PART C | Practical Work Unit 4: Introduction to Python | 20 | |
Practical Examination | 10 | ||
Viva Voce | 5 | ||
Total | 35 | ||
PART D | Project Work / Field Visit / Practical File/ Student Portfolio | 10 | |
Viva Voce | 5 | ||
Total | 15 | ||
GRAND TOTAL | 100 |
Units | Duration in Hours |
---|---|
Unit 1: Communication Skills-I | 10 |
Unit 2: Self-management Skills-I | 10 |
Unit 3: Information and Communication Technology Skills-I | 10 |
Unit 4: Entrepreneurial Skills-I | 15 |
Unit 5: Green Skills-I | 05 |
Total | 50 |
SUB-UNIT | LEARNING OUTCOMES | SESSION / ACTIVITY / PRACTICAL |
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Excite | To identify and appreciate Artificial Intelligence and describe its applications in daily life. | 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. |
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. | 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 Natural Language Processing - NLP) − Game 3: Emoji Scavenger Hunt (based on Computer Vision - CV) | |
To undergo an assessment for analysing progress towards acquired AI-Readiness skills. | Recommended Activity: AI Quiz (Paper Pen/Online Quiz) | |
To imagine, examine and reflect on the skills required for futuristic job opportunities. | 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 |
SUB-UNIT | LEARNING OUTCOMES | SESSION / ACTIVITY / PRACTICAL | ||
Relate | Learners to relate to application of Artificial Intelligence in their daily lives. | Video Session: To watch a video· Introducing the concept of Smart Cities, Smart Schools and Smart Homes | ||
To unleash their imagination towards smart homes and build an interactive story around it. To relate, apply and reflect on the Human-Machine Interactions. | 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. | |||
Purpose | To understand the impact of Artificial Intelligence on Sustainable Development Goals to develop responsible citizenship. |
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Possibilities | To research and develop awareness of skills required for jobs of the future. To imagine, examine and reflect on the skills required for the futuristic opportunities. To develop effective communication and collaborative work skills. | Session: Theme-based research and Case Studies· Learners will listen to various case-studies of inspiring start-ups, companies or communities where AI has been involved in real-life. Learners will be allotted a theme around which they need to search for present AI trends and have to visualise the future of AI in and around their respective theme Recommended Activity: Job Ad Creating activity. Learners to create a job advertisement for a firm describing the nature of job available and the skill set required for it 10 years down the line. They need to figure out how AI is going to transform the nature of jobs and create the Ad accordingly. | ||
AI Ethics | To understand and reflect on the ethical issues around AI. To gain awareness around AI bias and AI access. To let the students analyse the advantages and disadvantages of Artificial Intelligence. | Video Session: Discussing about AI Ethics Recommended Activity: Ethics Awareness· Students play the role of major stakeholders, 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 collection· Discussing about the implications of AI technology Recommended Activity: Balloon Debate· Students divide in teams of 3 and 2 teams are given same theme. One team goes in affirmation to AI for their section while the other one goes against it. They have to come up with their points as to why AI is beneficial/ harmful for the society. |
SUB-UNIT | LEARNING OUTCOMES | SESSION / ACTIVITY / PRACTICAL |
Problem Scoping | 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. | Session: Introduction to AI Project Cycle
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Share what the students have discussed so far. | Presentation: Presenting the goal, actions and data. | |
Data Acquisition | Identify data requirements and find reliable sources to obtain relevant data. | Activity: Introduction to data and its types. Students work around the scenarios given to them and think of ways to acquire data. |
Data Exploration | To understand the purpose of Data Visualisation Use various types of graphs to visualise acquired data. | Session: Data Visualisation
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SUB-UNIT | LEARNING OUTCOMES | SESSION / ACTIVITY / PRACTICAL | |||
Modelling | Understand, create and implement the concept of Decision Trees. Understand and visualise computer’s ability to identify alphabets and handwritings. |
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LEARNING OUTCOMES | SESSION / ACTIVITY / PRACTICAL | ||
Learn basic programming skills through gamified platforms. | Recommended Activity:
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Acquire introductory Python programming skills in a very user-friendly format. |
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Objectives
Learning Outcomes Learners will be able to
There are 10 chapters in the CBSE Class 9 syllabus for Artificial Intelligence.
You can get the free PDF for CBSE Syllabus Class 9 Artificial Intelligence on the website of Orchids International School.
To prepare for the Class 9 Artificial Intelligence exam effectively, learn the key concepts given in the syllabus. Additionally, practice each question given in the textbook and revise the topics thoroughly.
Some of the good resources for studying Class 9 Artificial Intelligence are NCERT textbooks, worksheets, and practice materials from some reputed schools like the Orchids International School.
The concepts covered in the CBSE Class 9 syllabus are very basic which helps students to understand the fundamentals and lay a solid foundation for higher classes.
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