The Central Board of Secondary Education (CBSE) has reported a remarkable surge in student enrolments for its Artificial Intelligence (AI) curriculum for the 2024-25 academic session. According to Jayant Chaudhary, Minister of State for Education, approximately 7,90,999 students from 4,538 schools have opted for AI courses at the secondary level (Classes IX and X). Additionally, 50,343 senior secondary students (Classes XI and XII) from 944 schools have chosen AI as a subject, showcasing a growing interest in technology-focused education.
Integration with NEP 2020
The National Education Policy (NEP) 2020 strongly advocates for embedding 21st-century skills, such as AI and Machine Learning, in school curricula. CBSE’s AI program, launched in 2019, aligns with this vision, aiming to equip students with the skills needed to thrive in a technology-driven future. Starting from a foundational module in Class VIII, the curriculum progresses to advanced AI concepts and real-world applications by Class XII.
Curriculum Overview
CBSE’s AI curriculum offers a structured, four-year progression that blends theoretical and practical learning:
- Class IX:
- Focus: Fundamentals of AI, ethical implications, and practical skills.
- Highlights: Neural networks, Python programming, and projects tied to Sustainable Development Goals (SDGs).
- Class X:
- Focus: AI project cycles and hands-on applications.
- Highlights: Data science, computer vision, natural language processing (NLP), and advanced Python programming.
- Class XI:
- Focus: Advanced technical concepts and ethical AI applications.
- Highlights: Mathematical foundations, regression analysis, critical thinking, and bias awareness.
- Class XII:
- Focus: Real-world application through comprehensive projects.
- Highlights: AI model lifecycle, storytelling with data, and capstone projects addressing societal challenges.
Benefits and Challenges
The introduction of AI in CBSE schools reflects a forward-thinking approach to education, preparing students for technological advancements. By integrating skill-based learning, the curriculum bridges the gap between academic theory and practical expertise.
However, the success of this initiative depends on several factors:
- Teacher Training: Ensuring educators are equipped to teach advanced AI concepts.
- Resource Availability: Providing the necessary tools and infrastructure for effective learning.
- Curriculum Depth: Maintaining a balance between theoretical knowledge and real-world applicability.
Preparing Students for the Future
CBSE’s AI curriculum empowers students with critical skills like computational thinking, ethical decision-making, and data storytelling. These abilities are essential for navigating a rapidly evolving technological landscape. As enrolments rise, this initiative demonstrates its potential to shape a generation of learners equipped for the challenges and opportunities of the 21st century.