A Multi-Layered Educational Framework Combining Generative AI and IoT for Enhancing Creativity and Higher-Order Thinking
Year: 2026
Type: conference-paper
Abstract: Modern learning systems increasingly rely on technology to help students perform well academically. This study is based on an analysis of the potential benefits that the joint use of generative artificial intelligence and IoT systems can provide for students' creativity and critical thinking. This study proposes an educational framework that incorporates Generative AI and IoT devices to offer personalized learning experiences by generating content with AI and analyzing classroom insights in real time. Student groups, measures of performance, types of motivation, and creative thinking assessments were gauged for empirical student analysis. This experiment produced a significant positive effect: academic performance increased by 17%, student engagement by 26%, and creativity was on average 22% higher than traditional teaching methodologies. Student accounts and classroom observations revealed a heightening of the drive to persist at the task, increased sharing of feelings with classmates, and more persistent problem solving. The evidence urges the argument that it is the integration of AI's content personalization to enhance interactive learning modality with IoT's environment sensing affordance, over which we find a breeding nest where raising a generation of such all-new intelligence citizens would be encouraged. This paper presents a plausible model of technology-enriched learning that addresses the challenges of implementation, technical restrictions, ethical considerations, and professional development support according to teacher requirements.
Authors: Komal Kashyap, Abhishek Shukla
Institution: Dr. C. V. Raman University
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7202213367