Realistic Measurement of Student Attendance in LMS Using Biometrics
Elisardo González-Agulla, Jose L. Alba-Castro, Enrique Argones-Rúa, Luis Anido-Rifón
In this paper we propose a solution to obtain useful and reliable
student session logs in a Learning Management System (LMS)
combining current logs with biometrics-based logs that show
the student behaviour during the whole learning session. The
aims of our solution are to guarantee that the online student is
who he/she claims to be, and also to know exactly how much
time he/she spends in front of the computer reading each LMS
content. Even when the proposed solution does not completely
avoid cheating, the use of biometric data during authentication
and face tracking provides additional help to validate student
performance during learning sessions. In this way it is possible
to improve security for specific contents, to gain feedback of the
student effort and to check the actual time spent in learning. Full Text
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