Abstract
<p>The paper goals on the implementation of Mobile learning (M-learning) based Remote Laboratory to maximize the available resource as well as to improve self learning ability. The developed system provides practical experience to the learners in the field of analog electronics. This laboratory permits the learners to conduct experiments on real time with the internet facility using developed android mobile application. A characteristic of Junction Field Effect Transistors (JFET’s) related to analog electronics has been considered for remote laboratory experimentation. The designed system can be expanded by adding new experiments without any complexity. This M-learning based remote laboratory approach enables the sharing of resource between the institutions for the minimization of expense and also encourages learners by enhancing engineering education.</p>
Highlights
There are a number of Remote Laboratories available worldwide for the engineering education platform
Remote users with mobile application can control and monitor the experimental results in real-time. This M-learning provides an opportunity for the remote users to perform their experiment individually and they can relate the theoretical knowledge with practical experience
JFET Common Source (CS) configuration is probably the most widely used of all the FET circuit configurations for many applications
Summary
There are a number of Remote Laboratories available worldwide for the engineering education platform. Different fields of signal processing and electronics device characterization with web-based remote-control laboratory is developed [4], [5]. Mobile learning plays an important role in different fields of engineering where biotechnology and other experimental mobile learning or web-based learning provides lot of opportunities [9]-[15]. The focus of the proposed work lies in creating a conducive environment for conducting electronic experiments remotely and accessing the same via mobile learning platform. Remote users with mobile application can control and monitor the experimental results in real-time. This M-learning provides an opportunity for the remote users to perform their experiment individually and they can relate the theoretical knowledge with practical experience.
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