Work

Smart Learning by Design: A Framework for IoT-Driven Adaptive Classrooms and Inclusive Education

Year: 2025

Type: article

Abstract: This research presents a novel conceptual framework for inclusive education by integrating Internet of Things (IoT)-driven real-time environmental and behavioral monitoring with adaptive teaching strategies. Unlike traditional methods, our model leverages sensor-based data collection to analyze classroom conditions, teacher mobility, and student interactions, enabling dynamic adjustments that aim to enhance engagement and inclusivity. While the framework is theoretical and has not yet undergone experimental validation, we discuss how optimizing spatial configurations, voice dynamics, and movement patterns could support student participation, particularly for learners with diverse needs. Pilot implementations and empirical testing are planned for future research. By merging data-driven insights with educators’ expertise, our approach offers a scalable vision for creating responsive, inclusive learning environments that proactively address barriers to education.

Source: Education Sciences

DOI: 10.3390/educsci15101338

Authors: Sara Jayousi, Paolo Lucattini, Livia Petti, Filippo Bruni, Lorenzo Mucchi

Institutions: Polo Universitario Città di Prato, University of Florence, University of Molise

Language: English

Topic: Educational Technology and Pedagogy

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Quality education, Reduced inequalities

Open Access status: gold

Estimated APC paid: $2,172