Business Intelligence Model for Monitoring Blended Learning Usage

Azman Ta’a, Mohamad Shahbani Abu Bakar, Suwannit Chareen Chit, Mohd Hafeez Mohd Soid


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).


Blended Learning; Business Intelligence; Data Warehouse; Online Learning;

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T. Ayodele, and Sotola, O. “China in Africa: An evaluation of chinese investment,” in Initiative for Public Policy Analysis Working Paper Series, Lagos, Nigeria, 2014.

P. A. Danaher, and A. Umar. Perspectives on Distance Education: Teacher Education Through Open And Distance Learning. Commonwealth of Learning, Vancouver, Canada, 2010.

M. A. Embi. “e-Learning in Malaysian Higher Education institutions: status, trends, and challenges,” presented at International Lifelong Learning Conference, Kuala Lumpur, Malaysia, 2011.

Ministry of Higher Education, Education Blueprint Planning. Ministry of Higher Education, Malaysia, 2013.

B. Means, Y. Toyama, R. Murphy, M. Bakia, and K. Jones, Evaluation of Evidence-Based Practices in Online Learning: A Meta-Analysis and Review of Online Learning Studies. U.S. Department of Education, Office of Planning, Evaluation, and Policy Development, 2010.

M. S. A. Bakar, and A. Ta’a, “Business intelligence modelling for graduate entrepreneur programme,” Journal of Information and Communication Technology, vol. 13, pp. 55–86, 2014.

A. Sidorova, and R. Torres, “Business intelligence and analytics as a foundation for organizational dynamic capabilities,” in 21st Americas Conference on Information Systems, Puerto Rico, 2015.

F. Sulaiman, “Online Learning in higher education in malaysia: a case study of students’ future expectations,” International Journal of Humanities and Social Science , vol. 4, no. 8, pp. 124-128, June 2014.

W. M. Al-rahmi, M. S. Othman, and L. M. Yusuf, “The effectiveness of using e-learning in Malaysian Higher Education: A case study Universiti Teknologi Malaysia,” Mediterranean Journal of Social Sciences, vol. 6, no. 5, pp. 625-637, Sept. 2015.

F. Z. Azizan, “Blended Learning In Higher Education Institution in Malaysia,” in Proceedings of Regional Conference on Knowledge Integration in ICT, Selangor, Malaysia, 2010, pp. 454-466.

R. M. R. Hussain, “eLearning in Higher Education Institutions in Malaysia,” E-mentor, vol. 5, no. 7, pp. 72-75, 2008.

M. Fadzil, L. A. Latif, T. A. Munira, “MOOCS in Malaysia: A preliminary case study,” in E-ASEM Forum: Renewing The Lifelong Learning Agenda For The Future. Bali, Indonesia, 2015, pp. 1-17.

P. C. Sun, R. J. Tsai, G. Finger, Y. Y. Chen., and D. Yeh,” What drives a successful e-learning? An empirical investigation of the critical factors influencing learner satisfaction,” Computers & Education, vol. 50, no.4, pp. 1183-1202 , May 2008.

V. Vaishnavi, and W. Kuechler, Design Science Research Methods and Patterns. Innovating Information and Communication Technology Auerbach Publications, 2008.


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