Andrew Pomazanskyi

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About

Andrew Pomazanskyi is a researcher at the forefront of integrating Internet of Things (IoT) technologies with educational systems, specializing in personalized and adaptive learning environments. His major contribution lies in developing platforms that leverage real-time sensing to capture learners’ affective states—such as engagement, frustration, or boredom—and dynamically adjust educational content accordingly. His most-cited work, "Exploiting IoT Technologies for Personalized Learning" (2018, 15 citations), introduces the IoT-ready platform from the MaTHiSiS H2020 EU project. This system uses sensing devices to monitor learner affect during interactions with serious games and other digital materials, enabling a responsive, tailored educational experience. Pomazanskyi’s research bridges the gap between ubiquitous computing and pedagogy, demonstrating how IoT can transform passive content delivery into an emotionally intelligent, adaptive process. His work has been instrumental in advancing the concept of context-aware learning, with implications for special education, remote learning, and gamified instruction. By embedding affect detection into everyday learning tools, he has opened new avenues for creating more inclusive and effective educational technologies.