Annalisa Terracina

Papers

Total Citations

H-Index

About

Annalisa Terracina’s research lies at the intersection of educational robotics, human-robot interaction, and pedagogical innovation. Her most cited work, “Robotic Teaching Assistance for the ‘Tower of Hanoi’ Problem,” explores how robots can serve not merely as playful tools but as genuine teaching assistants in structured learning environments. Rather than focusing on entertainment, Terracina investigates how robotic agents can enhance cognitive engagement and problem-solving skills by delivering carefully designed lesson plans. Her contributions demonstrate a nuanced understanding of how robots can scaffold learning, particularly in STEM contexts, by acting as interactive, adaptive instructors. With over 8 combined citations for her flagship study, Terracina’s work has influenced discussions on the practical integration of robotics in classrooms. Her approach emphasizes the importance of pedagogical design over novelty, offering a replicable framework for using robots to teach complex concepts like recursion and algorithmic thinking. For students and researchers interested in the future of education technology, Terracina’s research provides a compelling case for how robots can meaningfully augment human teaching, moving beyond gimmicks to create deeper, more effective learning experiences.