IoT Based Virtual E‑Learning System for Sustainable Development of Smart Cities

Setiawan, Roy and Devadass, Maria Manuel Vianny and Rajan, Regin and Sharma, Dilip Kumar and Singh, Ngangbam Phalguni and Amarendra, K. and Ganga, Rama Koteswara Rao and Manoharan, Ramkumar Raja and Subramaniyaswamy, V. and Sengan, Sudhakar (2022) IoT Based Virtual E‑Learning System for Sustainable Development of Smart Cities. [UNSPECIFIED]

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Abstract

Globally, cities are emerging into Smart Cities (SC) as a result of sustainable cities and the adaption of recent Internet of Things (IoT) technology. It is becoming essential to involve students in sustainability as engineering and technology are crucial elements in fixing the past adverse effects on our globe. Engineering e-learners are being educated on the sustainable development of SC in many Smart e-learning Tools (SeT) and infrastructure faculties around the world, especially in developing Asian countries such as India. This research paper presents an advanced solution for interactive Smart Learning Environment (SLE) systems based on new emerging technological trends of the IoT. The IoT-Ve- LS method used in the design and implementation allows flexible usage and integration of the online courses by SLE. The impacts of empirical E-learning evaluation on implementing IoT techniques in online tutoring have been analysed to find out its research hypothesis. Our IoT-sensor-based Reservoir Computing allows the classification of short-term learning language sentences relatively quickly, highlighting the minimal training time and optimized solution of real-time cases for controlling temporal and sequential signals at the cloud computing level. The triangulation analysis in information gathering endorses the theoretical models that use computable and personalized approaches.

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