Abstract:

We are aware of the fact that educational process goes on continually through everyday incentives or gaining experiences even in time when a person is not directly in educational institutions. Smart devices communicating the required information provide access to such incentives.

In this paper we show possibilities of using mobile technologies and smart devices in the educational process where we try to transfer some elements of educational methods into smart device environment. Nevertheless, we rely on active collaboration with students through voting and sending reactions to lecturer by using students’ own smart devices. This is the way how to induce students’ access in evolving incentives or checking answers of the lecturer during the educational process.

Moreover, accuracy and correctness of responses or answers is statistically recorded and students can respond to the teacher in case of uncertainty or misunderstanding ask questions and ask for additional explanation via SOS signal. In this way the lecturer gains the necessary feedback on his explanation and is able to adapt his or her interpretation to the requirements of the students. We use mobile communication application E-lection to ensure voting of the above mentioned teacher-student interactions made within the common cross border cooperation between Eötvös Loránd University in Budapest and Constantine the Philosopher University in Nitra.

Further in our paper we evaluate the behaviour of students in their internet access, Wi-Fi access or access through the mobile signal providers through their own smart device within the BYOD principle (Bring your Own Device). Furthermore, we evaluate using of smart devices by students from point of view what areas of interest they prefer, and how could their habits be useful from educational point of view. For this purpose, we apply Principal Component Analyses of students’ habits and we try to create factor criteria by which we can specify these habits in correlation with affiliation. We are interested whether students’ habits have changed, rearranged or shifted to other fields or whether searched factors are the same as in recent research.

Keywords:

E-lection, Feedback, BYOD, Smart Devices.