Can middle school students engage with AI?

Recently, the Central Board of Secondary Education (CBSE) decided to introduce a Computational Thinking (CT) and Artificial Intelligence (AI) curriculum for classes 3-8, which will begin from the 2026-27 academic session. CT skills generally refer to abstraction, decomposition, pattern recognition, and algorithmic thinking. These skills are required to reason about intelligent systems and to understand how machine learning differs from rule-based computation. As with any transformational reform in education, it is necessary to examine the practicality of introducing computational concepts to middle school learners. Will it align with age-appropriate pedagogy for engaging with emerging digital and computational environments?

One first has to examine whether CBSE’s curriculum clearly links CT and AI, since such a relationship is conceptually necessary. The foundational design principle behind the Organisation for Economic Co-operation and Development and the European Commission’s AI Literacy Framework identifies CT as a precursor to AI learning. This framework recommends CT competencies across age bands beginning from early primary school. Similarly, the AI4K12 Initiative in the U.S. places CT-related competencies at the base of its “Five Big Ideas in AI.” Their CT-competencies progression plan spans K-2, 3-5, 6-8, and 9-12 grade bands. The CBSE’s sequencing broadly aligns with these comparative curricular architectures. However, its curriculum is designed independently in line with the National Education Policy (NEP), 2020 and the National Curriculum Framework for School Education (NCF-SE), 2023.