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

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.