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Currently on the academic job market—seeking roles that blend teaching excellence, staff, research, and innovation across education technology and STEM learning environments.

Sai Gattupalli, Ph.D.

Education Technology Scholar & Digital Learning Architect

College of Education, University of Massachusetts Amherst

Department of Teacher Education and Curriculum Studies (TECS)

Core Research Areas: Education Technology, AI Literacy, Intelligent Tutoring Systems, Culturally Responsive Computing, STEAM Education, Game-Based Learning

Welcome to my Research and Professional Portfolio

I am a researcher in education technology and learning sciences, specializing in the design and study of learning systems that support STEM education, with a particular focus on computational literacies, mathematics education, and the utility of AI in teaching and learning. My work spans K–12 and higher education, using design-based research methods to explore how emerging technologies can enhance instructional practices and learner outcomes.

I investigate how intelligent tutoring systems, game-based platforms, and generative AI tools can be integrated into educational settings in ways that align with curriculum goals and objectives, and educator and learner needs. My research aims to bridge classroom implementation with institutional planning to support scalable and research-informed decisions.

At its core, my work seeks to help learners and educators make sense of rapidly changing technological landscapes. I aim to build tools, strategies, and frameworks that position education as a driver of thoughtful and informed engagement with AI.

My scholarship has been featured in:

International Society of Learning Sciences (ISLS)
IEEE International Conference of Advanced Learning Technologies (ICALT) (forthcoming)
International Conference of Artificial Intelligence in Education (AIED) (PDF Download)
EdTechnica, and
National Council of Teachers of Mathematics (NCTM)

In addition to publishing peer-reviewed research, I design interactive STEM tools, contribute to open access scholarship, and support educator development in areas of AI literacy and computational thinking.

Explore the AI in Education and interactive STEM education technology pages for ongoing, and previous research projects in advanced learning technologies.