Leading educationists called on teachers to stop fearing artificial intelligence and start using it to elevate their classroom role, during the 4th STTAR Global Education Conference held at Seth Anandram Jaipuria School in Ghaziabad. The message was direct: AI will not replace teachers, but teachers who use AI effectively will replace those who do not.
Padma Shri awardee Dinesh Singh, former vice chancellor of Delhi University and Chancellor of K R Mangalam University, delivered the sharpest challenge to the assembled educators. "Stop being a mundane teacher. Use AI to elevate yourself to the level of a guru," Singh said. He urged teachers to shed their inhibitions and admit when they do not know something, rather than letting ego block their growth.
A conference built around human-machine collaboration
Organised by Saamarthya Teachers Training Academy of Research (STTAR), the daylong conference drew education leaders, policymakers, academics, technology experts, and career counsellors from across India. The theme - "Leveraging Human Intelligence in the Era of AI" - framed the conversation around adaptation, not alarm.
Shishir Jaipuria, chairman of Jaipuria Group of Educational Institutions, told attendees that the future belongs to professionals who learn to work alongside machines. "The future is not going to be about human competition with machines. It belongs to humans who know how to work with machines," Jaipuria said. He argued that while technology can accelerate learning, only teachers can inspire it - and that distinction demands institutions rethink what they value.
Singh received the "Shiksha Garima Puraskar" during the inaugural ceremony, an award recognizing his contributions to Indian education.
What AI changes - and what it doesn't
Joseph Emmanuel, chief executive and secretary of CISCE, addressed the shifting requirements of school education in an AI-enabled world. The conference's three panel discussions examined the changing role of teachers, the evolution of learning environments, and the tension between technological speed and human judgment.
Jaipuria's framing captured the central tension: AI can deliver content faster than any lecturer, but motivation and curiosity still require a human spark. That means teachers must move beyond rote instruction toward mentorship - the guru role Singh described. For educators looking to build these skills, structured AI Learning Path for Teachers programs are emerging to fill the gap between awareness and practical classroom application.
The consensus among speakers was that resistance is the real risk. Teachers who treat AI as a threat, rather than a tool, will find themselves outpaced by colleagues who integrate it into lesson planning, assessment design, and personalized instruction.
Why this matters for educators
The conference made clear that professional development in AI for Education is no longer optional. School leaders are watching how quickly teachers adapt, and institutions are beginning to factor technological fluency into hiring and promotion decisions. The practical takeaway: start small. Use AI to draft quiz questions, generate differentiated reading materials, or analyze student performance patterns. The goal is not to become a programmer - it is to free up time for the mentorship and inspiration that only a human teacher can provide.
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