Amanda Wowra

Papers

Total Citations

H-Index

About

Amanda Wowra is a pioneering researcher at the intersection of educational technology and human-robot interaction, with a primary focus on how social robots can enhance vocabulary instruction. Her work investigates the nuanced role of contingent mediations—adaptive teaching strategies that respond to learners' immediate needs—across diverse instructional platforms, including robots, virtual agents, and human teachers. In her highly cited 2024 study, "Exploring Task-Level Contingent Mediations for Vocabulary Instruction across Robot, Virtual, and Human Teachers," Wowra demonstrates how drawing inspiration from high-quality human teaching practices can significantly improve learning outcomes when implemented in robotic systems. This research, already garnering attention with 1 citation in its first year, positions her at the forefront of designing more effective, responsive educational technologies. By bridging cognitive science, robotics, and pedagogy, Wowra’s contributions offer critical insights for developing socially intelligent tutors that adapt in real time—a key step toward personalized, scalable learning tools. Her work not only advances theoretical understanding of contingent teaching but also provides practical frameworks for engineers and educators seeking to optimize robot-assisted instruction.