Data warehouse system for blended learning in institutions of higher education
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...
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| Format: | Article |
| Language: | English |
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Universiti Teknologi MARA (Terengganu)
2017
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| Online Access: | https://repo.uum.edu.my/id/eprint/23569/1/EAJ%20%206%20%202%202017%20144-155.pdf |
| _version_ | 1803628562708692992 |
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| author | Ta'a, Azman Abu Bakar, Mohamad Shahbani Chit, Suwannit Chareen Mohd Soid, Mohd Hafeez |
| author_facet | Ta'a, Azman Abu Bakar, Mohamad Shahbani Chit, Suwannit Chareen Mohd Soid, Mohd Hafeez |
| author_sort | Ta'a, Azman |
| collection | UUM |
| description | 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 UUM Learning) 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. |
| first_indexed | 2024-07-04T06:23:56Z |
| format | Article |
| id | uum-23569 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:23:56Z |
| publishDate | 2017 |
| publisher | Universiti Teknologi MARA (Terengganu) |
| record_format | dspace |
| spelling | uum-235692018-03-15T01:29:19Z https://repo.uum.edu.my/id/eprint/23569/ Data warehouse system for blended learning in institutions of higher education Ta'a, Azman Abu Bakar, Mohamad Shahbani Chit, Suwannit Chareen Mohd Soid, Mohd Hafeez QA75 Electronic computers. Computer science 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 UUM Learning) 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. Universiti Teknologi MARA (Terengganu) 2017-11-30 Article NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/23569/1/EAJ%20%206%20%202%202017%20144-155.pdf Ta'a, Azman and Abu Bakar, Mohamad Shahbani and Chit, Suwannit Chareen and Mohd Soid, Mohd Hafeez (2017) Data warehouse system for blended learning in institutions of higher education. e-Academia Journal, 6 (2). pp. 144-155. ISSN 2289-6589 (Unpublished) http://myjms.mohe.gov.my/index.php/JeA/article/view/3164 |
| spellingShingle | QA75 Electronic computers. Computer science Ta'a, Azman Abu Bakar, Mohamad Shahbani Chit, Suwannit Chareen Mohd Soid, Mohd Hafeez Data warehouse system for blended learning in institutions of higher education |
| title | Data warehouse system for blended learning in institutions of higher education |
| title_full | Data warehouse system for blended learning in institutions of higher education |
| title_fullStr | Data warehouse system for blended learning in institutions of higher education |
| title_full_unstemmed | Data warehouse system for blended learning in institutions of higher education |
| title_short | Data warehouse system for blended learning in institutions of higher education |
| title_sort | data warehouse system for blended learning in institutions of higher education |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/23569/1/EAJ%20%206%20%202%202017%20144-155.pdf |
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