Sai Gattupalli

Hello and namaste.

I am Sai Gattupalli and I am a STEM Learning Technologies PhD Candidate at UMass Amherst. I am located at the Advanced Learning Technologies Lab in Amherst, MA. I work with work with Ivon Arroyo, EdD, Francisco Castro, PhD, Beverly Woolf, PhD, Danielle Allessio, PhD, Torrey Trust, PhD, Betsy McEneaney, PhD, Sharon Edwards, PhD and Bob Maloy, EdD.

I develop Wearable Learning , which is an online multiplayer embodied games platform for math learning that leverages on learning outcomes on both game play and game design practices. Using our educational platform, K12 students develop computational thinking, which is a crucial and much needed skill in the 21st century. My research focuses on learner culture which when understood in nuanced contexts could lead to effective learning experiences.

Additionally, I develop two math literacy projects, Usable Math, and MathSpring. While the former is tailored for elementary learners, the later is scaled to older grades including adult remedial. Both literacy initiatives focus on math problem solving at the core, whereas Usable Math particularly expands instruction to math design, storytelling, and creative writing.

Check out Project Badi, a nonprofit providing classroom supplies to underserved communities in rural India. So far, the project has supported 800+ kids with educational material. Badi in Telugu langage means school.

New 👉 Key Decisions for an Open Online Math Tutor for Elementary Students. Journal of Digital Experiences in Math Education. Collab with Prof. Edwards and Prof. Maloy from TESI and TECS departments.

New 👉 Read on my blog: Future of AI in Education. NSF Personalized Adventures in Learning (PAL) Workshop hosted by UMass Amherst CICS Research Professor Beverly Woolf, PhD, EdD.

👉 Live readership distribution dashboard showing my research spread.

👉 Check out CultureExtra.com: A human crafted, AI-enhanced digital first Culture Magazine.

👉 Read our latest research from AIED 2023: Large language models in education: How can we "bend" AI to provide in-situ scaffolding to young learners.

Developing a Culturally Responsive Coding Scheme for Educational Game Design

Research Domains

Artificial Intelligence in Education, Prompt Literacy, Cultural Identity and Citizenship, Computational Thinking, Math Education, Mobile Learning, Advanced Learning Technologies