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Title:
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MODELING A SECURE EXAM MANAGEMENT SYSTEM (SEMS) FOR MOBILE ENVIRONMENT BASED ON FACE RECOGNITION AND GPS TECHNIQUES |
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Author(s):
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Hervé B. Olou and Eugène C. Ezin |
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ISBN:
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978-989-8704-16-0 |
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Editors:
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Inmaculada Arnedillo Sánchez, Pedro Isaías and Boyan Bontchev |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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M-learning, Secure Exam System, E-exam, Face Recognition, Geolocation |
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Type:
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Short |
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First Page:
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107 |
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Last Page:
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110 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Learning anywhere at any time is the goal of Mobile learning (m-learning). With the proliferation of smartphones, some
universities adopt m-learning to facilitate accessibility of documents and online courses for students. Teachers can plan
for online assessment and students can join session, answer and see their score directly. During an exam, the challenge is
to make sure that students dont cheat. In this paper, we propose a modeling of secure exam management system (SEMS)
for m-learning. The system is composed of a mobile app and a server. The mobile app is specially developed for students
and will be used during exams. When students start exam, random face recognition and location request will be run
automatically to ensure that other students are not in the same place and that it is effectively the learner who is in front of
his smartphone. |
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