Fenglin Jia

Papers

Total Citations

110

H-Index

About

Fenglin Jia is a leading researcher at the intersection of artificial intelligence and science education. Her work systematically maps the evolving landscape of AI in pedagogy, with a particular focus on how machine learning and intelligent tutoring systems are transforming STEM learning environments. Her most cited paper, "Artificial Intelligence in Science Education (2013–2023): Research Trends in Ten Years" (2023), has garnered over 110 citations, establishing her as a key voice in synthesizing a decade of rapid technological change. In this seminal work, Jia identifies critical shifts—from rule-based systems to adaptive, data-driven models—and highlights emerging areas like personalized learning analytics and AI-assisted inquiry. Beyond this, her research explores the ethical implications of AI in classrooms and proposes frameworks for equitable access to intelligent educational tools. Jia’s contributions are not merely bibliometric; they provide actionable roadmaps for educators and technologists alike. Her work is essential reading for anyone seeking to understand how AI can be responsibly integrated into science curricula, making her a pivotal figure in shaping the future of digital-age learning.