Integrating AI and IoT in Smart Classrooms: Stakeholder Perceptions and Strategic Framework for Educational Institutions

Abstract

Artificial intelligence (AI) and Internet of Things (IoT) technologies can transform conventional classrooms into connected, interactive, and data-informed learning environments, but their effective adoption depends on institutional readiness. This study assessed stakeholders’ perceptions of the challenges and limitations associated with AI- and IoT-enabled smart classrooms and developed a strategic implementation framework for educational institutions. A quantitative descriptive design was employed with 30 respondents composed of students, faculty members, and administrators from a private higher educational institution in Pampanga, Philippines. Participants were selected through convenience sampling. Data were gathered using an adapted, expert-reviewed questionnaire and analyzed using weighted mean and standard deviation. The respondents agreed that institutions face substantial implementation barriers (overall M = 3.13). Inadequate teacher training emerged as the most strongly perceived concern (M = 3.23, SD = 0.73), followed by insufficient internet connectivity and technological infrastructure (M = 3.20, SD = 0.76). Unclear data privacy policies and resistance to innovation both obtained a mean of 3.03. Stakeholder feedback further emphasized human-capacity limitations, institutional readiness, and awareness gaps. Based on these findings, an iterative framework was developed around leadership and governance, smart infrastructure, human capability, operational support, data privacy and ethics, learning analytics, sustainability, equity and accessibility, and continuous improvement. The study concludes that AI and IoT adoption should be treated as an institution-wide transformation requiring phased investment, continuous capacity building, responsible data governance, and sustained administrative commitment.