New Perspectives in Science Education
Integrating IoT and Artificial Intelligence in Smart Classrooms: A Pathway to Enhance Student Engagement and Learning Outcomes in Higher Education
Justino Lourenço, Ispgaya, Avenida dos Descobrimentos, 333 - Vila Nova de Gaia - Portugal (Portugal)
José Morais, ISPGAYA (Portugal)
Catarina Lucas, ISPGAYA (Portugal)
Joana Paulo, ISPGAYA (Portugal)
Abstract
The rapid convergence of IoT-enabled smart classroom infrastructure with advanced artificial intelligence (AI) tools such as machine learning algorithms and support chatbot is poised to transform the university learning environment by enhancing student engagement, participation, and academic outcomes. IoT sensors embedded in modern classrooms can continuously collect data on environmental conditions and student behaviors, while machine learning algorithms analyze these data streams to detect engagement patterns or learning challenges in real time. This insight allows for timely, personalized pedagogical interventions, as early experiments show that AI analytics can help instructors identify disengaged or at-risk students and provide targeted support. Complementing this data-driven approach, AI-powered support chatbots function as 24/7 virtual tutors or assistants, instantly answering questions and guiding students through coursework. Their interactive, conversational nature has been shown to boost student motivation and participation by making learning more personalized and enjoyable. Together, IoT-driven smart learning environments and intelligent AI agents create a responsive educational ecosystem that adapts to individual learner needs and fosters active learning. Although this integration is still in its infancy, theoretical frameworks and preliminary trials suggest immense transformative potential, positioning the combination of IoT and AI as a promising avenue for future research in improving university-level learning experiences. This works plans to present the foundations for the development of a new framework.
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Keywords |
IoT; Smart Classrooms; Artificial Intelligence; Student Engagement; Machine Learning; Chatbots. |
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REFERENCES |
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