Data warehouse system for blended learning in institutions of higher education / Azman Ta’a ... [et al.]

• Main Authors: Ta’a, Azman, Abu Bakar, Mohamad Shahbani, Chit, Suwannit Chareen, Mohd Soid, Mohd Hafeez
• Format: Article
• Language: English
• Published: 2017
• Subjects: Blended learning. Computer assisted instruction. Programmed instruction
• Online Access: https://ir.uitm.edu.my/id/eprint/83622/1/83622.pdf; https://ir.uitm.edu.my/id/eprint/83622/; https://e-ajuitmct.uitm.edu.my/v3/
• Institution: Universiti Teknologi Mara

Online learning is a growing trend for lecturers and students in Malaysian Institutions of Higher Education (IHE) today. Malaysia’s National e-Learning Policy aims that 30% of all higher education courses is delivered online by 2015. Currently, 90% of Malaysian IHEs have online learning policy, and almost 70 percent have imposed it on their lecturers and students. However, there is a lack of approaches to systematically monitor the effectiveness of online learning implementation. This paper demonstrates the integration of several data sources of online learning systems in UUM (known as UUMLearning) to systematically monitor the usage of blended learning system. The information required to be captured and analyzed is determined prior to performing data preprocessing, and produce results of monitoring blended learning usage. The Business Intelligence and Data Warehouse method have been used to capture, process, integrate and analyze the blended learning data in order to monitor the usage of blended e-learning technology among the lecturers. The results have shown that the usage of blended learning can be monitored successfully by lecturers and university management.