Researching the Future of AI in Education
Ph.D. scholar in Computer Science researching AI-driven personalized learning for inclusive and engaging education.
Research & Academic Work
Chetana Sarang is redefining how learning is measured through her Generative AI–enabled assessment framework for K–12 education. Her research moves beyond rote testing to evaluate the quality, depth, and originality of student-generated questions, aligning with Bloom’s Taxonomy and Kashdan’s Curiosity Framework.
By leveraging Large Language Models (LLMs), the system introduces an Inquisitiveness Score (IS) — a groundbreaking way to make curiosity measurable, fostering holistic, equitable, and future-ready learning environments.
AI-Driven Learning Models
Developing intelligent systems that adapt to each student’s learning style, improving engagement and outcomes.
Data Science for Curriculum Optimization
Applying analytics to design smarter, more effective educational programs tailored to learners’ needs.
I welcome collaborations with universities, research groups, and EdTech companies to advance the role of AI in education.