Bianca Bergande

Papers

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About

Bianca Bergande is a researcher at the intersection of educational technology, human-robot interaction, and computer science education. Her work explores how cognitive systems and artificial intelligence—particularly natural language processing and physical robotics—can transform the learning experience for programming novices. Bergande’s most cited study, “Robot Tutoring” (2018, 14 citations), investigates the potential of AI-driven cognitive systems to automate and enhance educational tutoring. She further examines the motivational impact of different robotic platforms in “Nao Robot vs. Lego Mindstorms” (2019, 8 citations), demonstrating that physical computing tools can significantly boost student engagement and interest in Computer Science. Her controlled laboratory experiment using Anki Vector robots (2020, 3 citations) provides empirical evidence that even small, consumer-grade robots can raise motivation among undergraduate programming novices. Through these studies, Bergande has contributed valuable insights into designing effective, robot-assisted learning environments, helping to address the critical challenge of sustaining student motivation in introductory programming courses. Her work continues to inform educators and researchers seeking to leverage embodied AI for more engaging and effective STEM education.