India is aggressively focusing on using emerging and digital technologies to ensure better outcomes in early childhood learning. “The highest priority of the education system will be to achieve universal foundational literacy and numeracy in primary school by 2025. The rest of this policy will become relevant for our students only if this most basic learning requirement (i.e., reading, writing, and arithmetic at the foundational level) is first achieved,” says the government’s New Education Policy.
AI in age-appropriate education is crucial as children need continuous support and guidance from teachers and parents but it must be cautiously applied, says the report. Technology has limitations and its unplanned use may hinder children's natural thinking abilities in the long term. Government systems must collaborate with specialists and teachers to bridge the gap between AI-driven technology solutions and effective pedagogical practices for lifelong learning. “Numerous countries are dedicating substantial endevaours to advance the integration of AI education within primary and secondary education system through the development of detailed curriculum designs and guidelines,” it says.
“Recent observations have indicated an alarming decline in learning outcomes, particularly in the aftermath of Covid,” says Dr Amit Kapoor, the chairman of IFC and a lecturer at Stanford University. “Foundational learning is an integral part of a child’s educational journey. To elevate foundational education, it is imperative we recognise and rectify the prevailing gaps in that impede the learning journey.”
This is where the role of teachers becomes critical. As new learning methods and curriculum are designed with AI, teachers have to rethink their approach. Digital technologies enhance the skills of teachers. “AI holds enormous potential to offer significant support educators/teachers. It enables them to harness predictive analytics to anticipate the trajectory of individual students learning paths and their learning potential performance outcomes,” the report says. “By analysing individual performances, learning styles and historical performance data, AI-powered recommendation systems can provide with required suggestions.”
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