CBSE Class 8 Artificial Intelligence Syllabus 2025-26 | NCERT
CBSE Class 8 – Artificial Intelligence
Class: VIII
Subject: Artificial Intelligence (AI)
Board: CBSE (Central Board of Secondary Education)
Question Pattern & Marking Scheme (CBSE 2025–26)
Total Marks: 100
• Theory Examination: 50 Marks
• Practical / Internal Assessment: 50 Marks
Theory Question Paper Pattern (50 Marks)
The theory paper evaluates conceptual understanding, application of AI concepts, ethical awareness and problem-solving skills.
Types of Questions:
• Very Short Answer (VSA / MCQs)
• Short Answer (SA)
• Long Answer (LA)
• Case-based / competency-based questions
(Exact section-wise distribution may vary as per CBSE guidelines.)
Practical / Internal Assessment (50 Marks)
• Practical activities & hands-on exercises
• Project work based on AI applications
• Viva-voce
• Practical file / portfolio
CBSE Class 8 Artificial Intelligence Syllabus (2025–26)
| Unit | Chapter / Topic | Brief Learning Outcomes |
|---|---|---|
| Unit 1 | Introduction to Artificial Intelligence | Understand the meaning of AI, its history, importance and real-life applications. |
| Unit 2 | AI and Its Domains | Learn about AI domains such as Data, Computer Vision and Natural Language Processing. |
| Unit 3 | AI Project Cycle – Problem Scoping | Identify real-world problems and define objectives using AI project methodology. |
| Unit 4 | AI Project Cycle – Data Acquisition | Understand types of data, data collection methods and importance of quality data. |
| Unit 5 | AI Project Cycle – Data Exploration | Learn to analyse, organise and visualise data to identify patterns. |
| Unit 6 | AI Project Cycle – Modelling | Gain basic understanding of creating AI models and logical decision making. |
| Unit 7 | AI Project Cycle – Evaluation | Learn how AI solutions are tested, evaluated and improved. |
| Unit 8 | Ethics of Artificial Intelligence | Understand ethical issues, bias, privacy, safety and responsible use of AI. |
| Unit 9 | Introduction to Machine Learning Concepts | Learn basic ideas of machine learning and how machines learn from data. |
| Unit 10 | Practical AI Applications | Apply AI concepts through hands-on tools, activities and real-life examples. |
| Practical Work | Project, Activities & Viva | Develop an AI-based project and demonstrate understanding through practical work. |
Related Keyphrases
- CBSE Class 8 Artificial Intelligence syllabus 2025-26
- Class 8 AI NCERT syllabus CBSE
- CBSE Artificial Intelligence exam pattern Class 8
- Class 8 AI project work syllabus
- NCERT Artificial Intelligence curriculum Class 8
Frequently Asked Questions (FAQs)
Q1. Is CBSE Class 8 Artificial Intelligence based on NCERT?
Yes, the Class 8 Artificial Intelligence syllabus is designed by CBSE and aligned with NCERT-based guidelines.
Q2. What is the marks distribution for Class 8 AI?
The subject carries 100 marks, divided equally into 50 marks theory and 50 marks practical/internal assessment.
Q3. Does Class 8 AI include project work?
Yes. Project work and practical activities are compulsory and form a major part of internal assessment.
Q4. What topics are covered in the AI Project Cycle?
The AI Project Cycle includes problem scoping, data acquisition, data exploration, modelling and evaluation.
Q5. Is Artificial Intelligence useful for future studies?
Absolutely. It builds a strong foundation for computer science, data science, robotics and emerging technology careers.
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