Adriana Hilliard
Papers
1
Total Citations
22
H-Index
1
About
Adriana Hilliard is a leading researcher at the intersection of artificial intelligence and K-12 STEM education, with a primary focus on making complex machine learning concepts accessible to young learners. Her most cited work, "ARtonomous: Introducing Middle School Students to Reinforcement Learning Through Virtual Robotics" (2022, 22 citations), pioneers a novel approach to teaching AI by replacing traditional imperative programming with reinforcement learning in virtual robotics environments. This work addresses a critical gap in educational technology—while most curricula teach robot navigation through step-by-step coding, Hilliard's approach authentically introduces students to machine learning techniques by having them train agents through trial-and-error interactions. Her contributions demonstrate that middle schoolers can grasp foundational AI concepts when grounded in engaging, hands-on virtual contexts. Hilliard's research has significant implications for broadening participation in AI and computational thinking, offering educators a scalable framework for integrating modern ML paradigms into existing STEM curricula. By bridging the gap between cutting-edge AI research and classroom practice, she is helping shape how the next generation understands and interacts with intelligent systems.
Research Focus
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Top Papers
- 1