Hello everyone,
I’m Sameer Sinha, an MCA student from Amity University, India, with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. I’m currently involved in AI/ML research focused on solving real-world engineering challenges through intelligent systems.
One question I’ve been thinking about is:
How should computer science education evolve in the age of AI?
Today, students have access to powerful AI tools that can generate code, explain concepts, and assist with research. While these tools improve productivity, I believe universities should place even greater emphasis on critical thinking, problem-solving, system design, and research skills—abilities that complement AI rather than compete with it.
From your experience:
What skills do you think every CS student should develop in the AI era?
How are your institutions integrating AI into teaching and learning?
What balance should universities strike between AI-assisted learning and traditional fundamentals?
I look forward to learning from educators, researchers, and professionals from around the world. Thank you for sharing your perspectives!
