IoT-based e-learning for student progress monitoring / Liya Kamilia Basry

Basry, Liya Kamilia (2019) IoT-based e-learning for student progress monitoring / Liya Kamilia Basry. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

In this new era, digital devices such as smartphone or tablet are man’s essential things that must be brought together anywhere at any time. Simple applications have been used widely around the world compared to mobile websites because of the simplicity of itself. Besides, mobile application has been implemented in education. Although there are systems that can monitor student progress using e-learning platform, those solutions might cause some students will “slips through the gaps”. Because of that, most lecturers might face a problem where understanding of students in topics cannot be assessed outside the classroom. Furthermore, lectures might be boring and the surroundings can be dull. Thus, this project is developed to design element that can gain assessment of students’ understandings. This project aims to develop a mechanism that applies sensor-based technology in order to observe students’ progress and to develop a system that implies augmented reality (AR) that makes study more unique. For that reason, this project will be developed by using Internet of Things (IoT) technology that includes AR. The expected result is to ensure that e-Learning through IoT technology can be developed and regularly used by university students.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Basry, Liya Kamilia
2016329093
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ibrahim, Mohd Faisal
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Learning. Learning strategies
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Wide area networks
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons) Netcentric Computing
Keywords: Internet of Things (IoT), digital devices, e-learning,
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/108198
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