Ta'a, Azman and Abu Bakar, Mohamad Shahbani and Chit, Suwannit Chareen and Mohd Soid, Mohd Hafeez (2017) Business Intelligence Model for Monitoring Blended Learning Usage. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-5). pp. 27-30. ISSN 2180-1843 (Unpublished)

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Abstract

Online learning for students and for lecturers are one of the fastest learning trends in Institute of Higher Education (IHE) in Malaysia.The Ambient Insight Comprehensive Report (2015) estimated that Malaysia is 3rd top self-paced e-Learning growth in Asia, since 2010.In April 2011, Malaysia launched the Malaysia Education Online (MEdO) national online learning portal.The goal of new National e-Learning Policy is to have 30% of all higher education courses delivered online by 2015. Moreover, 90 percent of higher education already has an e-Learning policy, and most 70 percent make use of online learning or blended Learning compulsory among their lecturers and students. The internet-based learning application, interactive blended learning approaches, and which blended learning is effective for supporting lecturers teaching competencies were explored. This paper demonstrates the integration several data sources of online learning systems in UUM (known as UUMLearning) to systematically monitor the usage of blended learning tools.The Blended Learning is defined as using several items in an online learning system (UUMLearning), which is complying with the requirements setting by the IHE. The information required to be captured and analyzed is determined prior to perform the data pre-processing and produce results of monitoring blended learning usage.Therefore, the Business Intelligence and Data Warehouse approach have been used to capture, process, integrate and analyze data on blended learning utilization in order to understand the usage of blended e-learning technology among the lecturers in Universiti Utara Malaysia (UUM).

Item Type:	Article
Uncontrolled Keywords:	Blended Learning; Business Intelligence; Data Warehouse; Online Learning.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	15 Mar 2018 01:29
Last Modified:	15 Mar 2018 01:29
URI:	https://repo.uum.edu.my/id/eprint/23570

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