Murizah Kassim1, Ahmad Eddy Kesuma Suandi, Azlina Idris, Wan Norsyafizan W.Muhamad
1Dr. Faculty of Electrical Engineering, Universiti Teknologi MARA, Selangor, Malaysia.

This paper presents a development of Mobile Learning Module system that characterized logo and recognized learning module using mobile system. The system is based on computer vision to easily identify the logo and information of the Module which online on server. It is based on image processing, which can control the classification, qualification and segmentation of images hence to recognize the logo Module information. Objectives of the project are first to design Multimedia Learning Module system that uses a mobile phone to interface with online server that compare and classify the captured image and trained into the system’s database. Secondly Module is collected and characterization its type of logo on online server and stored notes module that can be accessed globally from time to time. The last objective is to analyze the designed system and techniques of accessing the Modules on more than 36 participants and presents the result. The methodology development of the system consists of three stages which are capturing an image of each course module, recording the logos according to type and related information of identified courses. Mobile hand phone is used and mobile programming is coded on the server. One course is taken as sample for its modules. The course module is transferred to pdf and put as accessible mobile online. Course information is characterized and classify by chapter in pdf file through mobile phone. Successfully results presented multimedia modules image logo can be captured and recognition subject name and online Module is extracted. Analysis of students used of the system is presented. Students are able to easily access the Module anytime, anywhere with recorded accessed. This project is significant to academics which is less complex and relatively faster to capture online module for learning and teaching approach.

: Learning Module, Multimedia, Mobile System, Blended Learning, Online, Logo Characterization.


CITATION: Abstracts & Proceedings of ADVED 2017 - 3rd International Conference on Advances in Education and Social Sciences, 9-11 October 2017- Istanbul, Turkey

ISBN: 978-605-82433-0-9