Papers
5
Total Citations
51
H-Index
4
About
Efi Kourampa is a leading researcher at the intersection of social robotics, special education, and artificial intelligence. Her work focuses on developing intelligent, child-robot interaction systems that can assess and improve learning outcomes for children with Specific Learning Disorders (SpLDs) and other learning difficulties. Kourampa’s major contributions include creating multimodal machine learning methodologies that estimate children’s engagement levels during robot-assisted educational procedures—a critical factor for personalizing instruction. Her 2021 paper on estimating engagement using machine learning has garnered 20 citations, while her 2022 study on the efficacy of robot-assisted interventions for elementary school children with SpLDs has 17 citations. She has also pioneered techniques for analyzing visual and audio signals to measure engagement, including a novel approach using Intervals’ Numbers (INs) for audio signal recognition in special education contexts. Her feasibility study on synergizing intelligent algorithms for efficient child-robot interaction further underscores her commitment to practical, scalable solutions. With a growing citation record and a clear focus on translating cutting-edge AI into tangible benefits for vulnerable learners, Kourampa is shaping the future of inclusive, technology-driven education.
Research Focus
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