Murlidhar Koteshwar Rao Workshop on AI and Education on 12/9/25

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Insights from Murlidhar Koteshwar  Rao’s Workshop on AI and Education

Workshop summary • AI in education • Practical classroom tips

By Ritu • Workshop Notes

Overview

Muntisthan Rao’s session was a lively and humane exploration of how artificial intelligence can support learning — without replacing the heart of teaching: empathy, curiosity, and encouragement. He mixed concrete tools (ChatGPT, Wolfram Alpha) with classroom philosophy and practical tips for teachers.

Key Takeaways

• Chatbots & Virtual Assistants: Use them to give instant help and scaffold learning, especially for routine questions and revision prompts.
• Adaptive Learning Models: Implement systems that tailor content to individual students’ pace and understanding.
• Dynamic Content Adjustment: Lessons should be flexible — auto-adjust difficulty, examples, or pace based on learner feedback and performance.
• Google Capabilities & Project Astra: Modern platforms provide advanced search, AI APIs, and classroom tools that educators can leverage.
• Tools Mentioned: ChatGPT and Wolfram Alpha — powerful assistants for explanation, computation, and idea-generation.

“Don’t give students the answers — let them research and find the solution. That’s where learning actually happens.”

Values & Classroom Culture

Mr. Rao stressed that technology must be balanced with human values. Two memorable points:

1. Celebrate effort, not just results: He encouraged teachers to hug the one who loses a race — the presence of the “loser” makes the winner meaningful.
2. Start classes with positivity: A warm opening routine creates a safe environment for risk-taking and curiosity.

Practical Ideas to Try Tomorrow

Micro-research tasks

Ask students to find one fact or example and present a 60‑second summary. No teacher answers until students share findings.

AI-assisted reflection

Use a chatbot to generate follow-up reflection questions after a lesson; students choose 2 to answer in pairs.

Adaptive quizzes

Short quizzes that change difficulty based on responses — helps identify gaps quickly.

Notes on Research & Development

Mr. Rao also touched on research-focused topics such as:

• NLP & educational processing: Using natural language processing to analyze student answers, give feedback, and identify misconceptions.
• Adaptive language and dynamic content adjustment: Building systems that modify language complexity and examples to suit learners’ levels.
• Project Astra: As an example of how new projects integrate AI into educational workflows.

Teacher Mindset: Aptitude & Empathy

He described the modern teacher as an "Aptitude teacher" — someone who builds students’ learning temperament, curiosity, and problem-solving habits more than just delivering facts.

Mentioned Tools

ChatGPT  •  Wolfram Alpha  •  Google AI tools  •  NLP pipelines

Final Thoughts

The workshop was a reminder that technology and pedagogy must work together. AI gives us new capabilities — faster feedback, adaptive paths, and conversational tutors — but teachers remain central as mentors, motivators, and moral guides.