Abstract
We are living in the information age where almost every aspect of our life, directly or indirectly, relies on information and communication technology (ICT). The uses of ICT through big data has increased which therefore ended to be everything can directly go through online and people are now able to upload, retrieve, store their information and collect information to big data. Through big data learning management system (LMS), student managed and stored their intangible assets such as knowledge and information, documents, report, and administration purpose. LMS is basically application software that is capable and designed to provide electronic learning, and has been acknowledged to yield an integrated platform providing content, the delivery as well as management of learning, while supplying accessibility to a wide range of users that include students, content creators, lecturers as well as administrators. Universities aim to successfully implement a LMS in order to ease the learning process. This successful implementation lead to Universities make Business Process Re-engineering for their learning activity. Throughout the years, successful implementations of LMS have proven to be a very beneficial tool, providing ease and convenience. LMS is used not only in academic institutions such as schools and universities, but is also popularly used in a number of private corporations to provide online learning, training and is also capable of automating the process of record-keeping as well as employee registration. The objectives of this study are to reveal big data as enabler of LMS as Business Process Re-engineering bring users specifically, various benefits of its multi-function ability.
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Susanto, H., Chen, C.K., Almunawar, M.N. (2018). Revealing Big Data Emerging Technology as Enabler of LMS Technologies Transferability. In: Dey, N., Hassanien, A., Bhatt, C., Ashour, A., Satapathy, S. (eds) Internet of Things and Big Data Analytics Toward Next-Generation Intelligence. Studies in Big Data, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-60435-0_5
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DOI: https://doi.org/10.1007/978-3-319-60435-0_5
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