CBSE Class 8 Artificial Intelligence Syllabus 2025-26
Welcome to the CBSE Class 8 Artificial Intelligence syllabus page for the academic year 2025-26! We’re delighted to have students and parents exploring this exciting and rapidly evolving field with us. Here, you will find a comprehensive overview of the curriculum organized into two clear tables, making it easy to understand the structure and content of the course. The first table outlines the key topics and concepts that will guide students through the foundational aspects of Artificial Intelligence, while the second table provides details on the practical components and assessments designed to enhance the learning experience. Our goal is to ensure that every student has a clear pathway to explore and understand the dynamic world of AI. We hope this page serves as a helpful resource for both students and their families as they embark on this educational journey.
CBSE Class 8 Artificial Intelligence Syllabus Structure
CBSE Class 8 Artificial Intelligence Units and Topics
The CBSE Class 8 Artificial Intelligence syllabus focuses on understanding AI’s foundational concepts, its ethical implications, and real-world applications. The curriculum is structured to cultivate a comprehensive grasp of AI’s role and potential impact. – Excite: Introduction To AI concepts and their relevance. – Relate: Connecting AI with real-life scenarios and applications. – Purpose: Exploring AI’s objectives and functional use. – Possibilities: Investigating future AI advancements and innovations. – AI Ethics: Analyzing ethical considerations and responsible AI use.
| Unit | Name of the Unit | Duration | Periods |
|---|---|---|---|
| 1 | Excite | 02 Hours 40 Mins. | 4 Periods |
| 2 | Relate | 02 Hours | 3 Periods |
| 3 | Purpose | 02 Hours | 3 Periods |
| 4 | Possibilities | 02 Hours | 3 Periods |
| 5 | AI Ethics | 03 Hours 20 Mins. | 5 Periods |
| Total | 12 Hours | 18 Periods | |
Class 8 Artificial Intelligence Marks Distribution
The CBSE Class 8 Artificial Intelligence syllabus introduces students to AI concepts through hands-on activities and real-world applications, focusing on smart technologies, sustainable development, and AI ethics. Students engage in interactive sessions that enhance critical thinking and creativity by exploring AI’s impact on society and future job markets. Key Topics: – Introduction To AI through interactive games and activities – Exploration of smart technologies in homes, schools, and cities – Understanding sustainable development goals and AI’s role – Case studies on AI trends and future job transformations – Discussions on AI ethics, bias, and societal implications
| Unit | Activities/Sessions |
|---|---|
| Excite | Session:Introduction to AI and setting up the context of the curriculumIce Breaker Activity:Dream Smart Home ideaLearners to design a rough layout of floor plan of their dream smart home.Recommended Activity:The AI Game Learners to participate in three gamesbased on different AI domains.Game 1: Rock, Paper and Scissors(based on data)Game 2: Mystery Animal (based onNatural Language Processing – NLP)Game 3: Emoji Scavenger Hunt (basedon Computer Vision – CV)Recommended Activity:AI Quiz (Paper 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 whatthey have learnt so far or what they would like to learn someday |
| Relate | Video Session:To watch a videoIntroducing the concept of Smart Cities, Smart Schools and Smart HomesRecommended Activity:To write an Interactive StoryLearners to draw a floor plan of a Home/School/City and write an interactive story around it using Story Speakerextension in Google docs. |
| Purpose | Session:Introduction to sustainable development goalsRecommended Activity:Go Goals Board GameLearners to answer questions on Sustainable Development Goals |
| Possibilities | Session:Theme-based research and Case StudiesLearners 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 ofAI in and around their respective theme.Recommended Activity:Job Ad Creating activityLearners 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 | Video Session: Discussing about AI EthicsRecommended Activity:Ethics AwarenessStudents 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 AccessDiscussing about the possible bias in data collectionDiscussing about the implications of AI technologyRecommended Activity:Balloon DebateStudents divide in teams of 3 and 2 teams are given same theme. One team goes in affirmation to AI for their sectionwhile the other one goes against it.They have to come up with their points as to why AI is beneficial/harmful for the society |
❓ Frequently Asked Questions
Q1. What Is The marks distribution for the CBSE Class 8 Artificial Intelligence exam?
The CBSE Class 8 AI exam typically distributes marks across both theory and practical components. Theory usually accounts for 70 marks and practical or project work for 30 marks. The exact distribution may vary slightly, so it’s best to check the latest syllabus from CBSE or your school.
Q2. Which chapters are considered most important in the Class 8 AI syllabus?
Key chapters often include ‘Introduction to AI’, ‘AI Applications and Use Cases’, and ‘Basics of Machine Learning’. These chapters lay the foundation for understanding AI principles and their practical applications. Focusing on these can help in both theory exams and practical projects.
Q3. What Is the exam pattern for the Class 8 AI course?
The exam pattern generally includes multiple-choice questions, short answer questions, and practical assessments. The theory part might consist of 25-30 questions, while the practical segment evaluates your projects and hands-on skills in AI concepts. Familiarizing yourself with this pattern can aid in effective preparation.
Q4. How can students best prepare for the Class 8 AI exams?
Students should start by thoroughly understanding the syllabus and focusing on core AI concepts. Regular practice of coding exercises, revising notes, and engaging in AI projects can enhance learning. Additionally, solving past papers and taking mock tests can provide insight into the exam pattern and improve time management skills.
Q5. Are there any recommended resources for studying AI in Class 8?
Yes, apart from the textbook, online platforms like Khan Academy, Code.org, and AI4ALL offer interactive lessons and projects. Joining AI clubs or participating in workshops can also provide hands-on experience. These resources can help reinforce classroom learning and provide practical exposure to AI technologies.
Q6. What practical activities are included in the AI syllabus for Class 8?
Practical activities often involve projects like creating simple AI models, exploring AI applications, and experimenting with basic algorithms. These activities help students understand AI concepts in a real-world context, fostering critical thinking and problem-solving skills. Participation in these activities can boost practical understanding and application of AI.