Automatic Attendance and Mobile Learning System in Sensor-Enabled Heterogeneous and Dynamic University Environment.

Abstract

Many questions come up when we think about the academic performance of students and the ways and means to ameliorate that. In today’s digital era we can use latest technologies to improve student performance and attendance. Class attendance, quizzes and assignments play a key role in academics. In this paper, we have defined a framework for improving class attendance based on GPS and face detection, and new learning environment where students can use devices like enabled devices, iPad, Tab, iPhone, blackberry, laptop etc. for class quizzes and assignments. We proposed an online as well off-line model for quizzes that will run on platform independent applications.

Keywords: Heterogeneous, face recognition, GPS, Platform Independent application, mobile learning