PhD Researcher · George Mason University

Ramya
Sreekanta
Nayaka

Exploring the intersection of educational theory and artificial intelligence to support deeper, more meaningful learning.

Information Sciences & Technology

George Mason University · Fairfax, VA

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Research Focus

Self-Regulated Learning in AI-Enhanced Environments

How can we align established educational pedagogy with AI-driven learning? This research investigates metacognitive support systems and theory-grounded frameworks that bridge the gap between how humans learn and how AI teaches.

Self-Regulated Learning Metacognition AI in Education Learning Theory EdTech Pedagogy

Who I Am

I am a PhD researcher in the Information Sciences & Technology department at George Mason University, where my work sits at the crossroads of learning science, cognitive theory, and artificial intelligence.

My research focuses on the Self-Regulated Learning (SRL) framework — examining how learners plan, monitor, and reflect on their own cognition — and how AI systems can be designed to support and scaffold these metacognitive processes in meaningful, theory-grounded ways.

I am passionate about making AI-powered learning tools that are not just technologically impressive, but pedagogically sound and genuinely transformative for learners.

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Academic Home

George Mason University, IST Department

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Research Area

Learning Sciences & AI-Enhanced Education

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Core Theory

Self-Regulated Learning & Metacognition

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Open To

Collaborations, speaking, and research partnerships

What I Study

01

Theory-Grounded AI Design

Examining how classical learning theories — Zimmerman's SRL model, Flavell's metacognition — can inform the design of AI tutoring and adaptive learning systems.

02

Metacognitive Support

Investigating how AI can prompt learners to think about their own thinking — fostering self-awareness, planning, and reflection throughout the learning process.

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Pedagogy & AI Alignment

Bridging the gap between instructional design principles and AI implementation to ensure educational technology is both effective and pedagogically responsible.

Let's Connect

Always happy to talk research.

Whether you're a fellow researcher, educator, or technologist curious about AI-enhanced learning — feel free to reach out. I'm open to collaborations, paper discussions, and conversations about the future of education.


📍 George Mason University
Department of Information Sciences & Technology
Fairfax, Virginia