Education leaders are preparing to discuss AI in classrooms and future-ready curricula

7. Education leaders are preparing to discuss AI in classrooms and future-ready curricula

Source: PTI via ThePrint · 28 October 2026

India's education ecosystem is preparing for EGN ConnectX India 2026, a two-day education leadership conference scheduled for 3–4 November in Mumbai.

The event is expected to bring together school and university leaders, policymakers, education innovators and technology providers.

Its focus includes AI in classrooms, future-ready curricula and skilling.

The programme is expected to feature educator workshops, student innovation challenges, hackathons and government-industry discussions.

An important question raised by the organisers is whether schools and teachers are actually prepared to implement AI in the classroom, rather than simply having access to AI tools.

Why this matters:

Introducing AI into education is not just about giving students access to chatbots.

Institutions need to consider:

• How teachers will use AI in teaching.
• How students will learn to evaluate AI-generated information.
• How practical AI skills fit into existing curricula.
• How assessments should change when AI tools are widely available.
• How institutions will measure actual learning outcomes. This is an important development for education businesses, colleges and training organisations working on practical AI education.

Source: ThePrint — Education leaders and policymakers to discuss AI in classrooms

PTIFeed

What these developments mean collectively

Today's five key takeaways

AI is changing the IT employment model.

Companies are monetising AI, but hiring patterns are becoming more selective and skill-dependent.

AI skilling is becoming an institutional priority.

Large companies such as SAP are setting substantial training targets.

Industry-academia collaboration is expanding.

Centres of Excellence and practical partnerships are becoming important education models.

AI is entering public administration.

Governments are exploring AI for service delivery, verification and operational efficiency.

AI investment needs commercial results.

Infrastructure spending is enormous, and investors want evidence of sustainable returns.

Editorial source note

The source page was accessible and dated 28 October. The conference programme is an announcement of planned activities, not a report that the event has already occurred. All claims remain attributed to the supplied reporting, not independently verified by Aiexl. The natural photograph is illustrative, not a photograph of the reported organisations or events.