Statistical Proving of Enhanced Interaction and Augmentative Discourse for BYOD Supported Classroom

Today, mobile devices are cheap, affordable and are a part of our day to day life. It has paved its way into learning inside and outside the class. These devices have become a part of our body; it is with us $\mathbf{24\ x\ 7}$. These smart devices provide us with learning beyond the classroom and textbooks. It has not only enhanced teacher-student interaction but has also solved many classroom related issues. With the advent of mobile devices MOOCs, m-learning, e-learning have grown exponentially in last few years. These pervasive devices are not only used for communication, but also for teaching, learning and development purpose. In this work we try to find the modalities which will be regulated by systematic inclusion of Bring Your Own Device (BYOD) based classroom interaction. The system used task technology fit (TTF) model to find if this technology is fit for the educational aid. This study includes survey to find the cognitive behaviour of students towards mobile devices including laptop, tablet, and smart phones. The parametric data collected over survey have been analysed for finding out the variation in treatment group and control group using Bayesian paired sample t-test, which clearly shows the effective use of BYOD based interaction in classroom for enhancing teaching learning process.

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