Ask An Expert: Chandrashekhar Singh

What excites you most about working here?

What excites me most is the ability to innovate with intention. At SRM, we recognize that AI is still evolving, which creates both opportunity and responsibility. The culture encourages experimentation while staying grounded in learning science, equity, and real-world impact.

What is one major shift you’ve noticed in education, content, or instructional design recently?

A significant shift is the move toward learner-centered systems that prioritize adaptability, accessibility, and relevance. Rather than focusing solely on scale, education is increasingly concerned with how content serves diverse learners and reflects multiple perspectives.

In your opinion, how is technology (AI, microlearning, immersive media, etc.) changing educational solutions?

AI is reshaping education, but it is far from complete. Its real value lies in supporting human expertise through accuracy checks, partial automation of manuscripts, assessment design, and iterative content improvement. At the same time, there is a growing responsibility to ensure AI-supported solutions are inclusive, transparent, and actively designed to reduce bias.

Can you share a project you’ve worked on at SRM that you feel made a significant impact?

I have worked on initiatives that integrated AI-supported workflows into large-scale content development. These included automating portions of manuscript creation, supporting assessment design, and implementing quality and accuracy checks. These approaches helped teams focus more deeply on pedagogy and learner needs while improving efficiency and consistency.

How does SRM’s approach stand out in the industry?

SRM’s approach stands out because it intentionally blends human expertise with AI-supported processes. Subject matter experts, instructional designers, and reviewers remain central to decision-making, while AI is used to support accuracy checks, consistency, and efficiency. This combination allows us to scale responsibly, maintain quality, and ensure learning solutions are both rigorous and learner-centered.

What’s one piece of advice you’d give to someone interested in a role like yours?

Don’t chase innovation—cultivate responsibility. Learn how AI works, understand its limitations, and remain grounded in the needs of learners and educators. The future belongs to those who can bridge technology, ethics, and learning design.

If you could create your dream educational solution, what might it be/look like?

My ideal solution would be deeply learner-driven and adaptable. It would respect different learning paths, represent diverse voices, and evolve over time. AI would function as a support system that helps learners navigate content and practice skills, while educators retain visibility and control.

What’s a fun or unexpected fact about you that you would like to share?

The child within me, the one who asks endless questions, has never really gone away. That curiosity continues to shape how I approach learning, technology, and innovation, and it reminds me to keep exploring, questioning, and listening.