A Comprehensive Meta-Analysis of IoT Integration for Data-Driven Decision Making in Education

Abstract

This chapter systematically reviews the literature on using internet of things (IoT) technologies to enable data-driven decision-making in educational institutions. As educational environments become increasingly complex, the ability to collect, analyze, and act upon data is crucial for institutional improvement. IoT technologies offer opportunities for educational leaders to optimize various aspects of campus operations, enhance student experiences, and improve administrative efficiency. The chapter explores IoT adoption in education, highlighting key technological advancements and their data collection and analysis applications. This chapter examines how IoT-generated data can inform resource allocation, facility management, and student services decisions. This chapter also addresses the challenges and barriers to integrating IoT in educational decision-making, including issues related to data privacy, security, and the need for robust data governance frameworks.