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. CBSE | Department of Skill Education Page 2 of 7 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
INTRODUCTION TO AI Excite Relate Purpose Possibilities AI Ethics
AI PROJECT CYCLE Problem Scoping Data Acquisition Data Exploration Modelling
