Helen C. Leligou

Papers

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About

Helen C. Leligou is a leading researcher at the intersection of the Internet of Things (IoT) and education, with a focus on personalized learning systems. Her most-cited work, "Exploiting IoT Technologies for Personalized Learning" (2018, 15 citations), presents the IoT-ready platform developed within the MaTHiSiS H2020 EU project. In this groundbreaking contribution, Leligou demonstrates how sensing devices can capture learners' affective states during interactions with educational content—particularly serious games—enabling real-time adaptation of learning materials. This work bridges IoT sensing with adaptive pedagogy, offering a novel framework for emotionally responsive education. Beyond this flagship paper, her broader research spans IoT architectures, cybersecurity, and smart learning environments. Leligou's contributions are notable for their practical, EU-funded implementations that translate complex IoT concepts into tangible educational tools. Her work has influenced the design of context-aware learning systems, earning recognition for advancing how technology can personalize education at scale. For students and researchers, Leligou exemplifies how IoT technologies can be harnessed to create more engaging, responsive, and human-centered learning experiences.