IoT-Driven Smart Classrooms Inspired by the Gurukul Model: Bridging Tradition and Modern Engineering
Keywords:
Internet of Things, Smart Classrooms, Gurukul 2.0, Educational IoT, Student Monitoring, Cloud-Based LearningAbstract
The rapid expansion of Internet of Things (IoT) technologies has revolutionized the ways that educational environments can manage classrooms, track students, and deliver learning materials. In Gurukuls of ancient India, the learning environments were holistic, natural, and individualized, where the Guru observed, assessed, and monitored everyone else's learning closely. This paper examines the possibilities of an IoT-enabled smart classroom for Gurukul 2.0, with the intention of recreating that previous personalized, interactive, and interconnected learning environment through engineering. The smart classroom, as considered in this paper, would therefore consist of IoT sensors, RFID attendance systems, smart boards, wearables, and biometric-based progress monitoring to develop a smart analytical learning environment. The data collected from IoT technologies could be analysed using cloud computing and machine learning, and should be further studied for behaviours, persistence, or engagement within learning opportunities. In addition to addressing the architectural models for creating IoT classroom, the research suggests security issues related to IoT communication, and how to structure devices and IoT solutions. This paper applied approaches of ethical teachings and measure of soft skills through IoT, in maintaining a connected and holistic approach that values Gurukul's educational experience and traditions. Preliminary findings indicate that IoT-based smart classrooms lead to better use of resources, higher engagement, and the ability to provide ongoing and real-time feedback examples. Gurukul 2.0 is envisioned as a technologically mutation of Gurukul established as a value-centred model of education. Keywords: Internet of Things, Smart Classrooms, Gurukul 2.0, Educational IoT, Student Monitoring, Cloud-Based Learning.
DOI: https://doi.org/10.24321/2582.5607.202505
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