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Friday, September 27, 2019

Data mining and e-learning Thesis Proposal Example | Topics and Well Written Essays - 1750 words

Data mining and e-learning - Thesis Proposal Example Data mining is often regarded as an inseparable facet of effective e-learning process aimed at better knowledge management. However, critics have also been of the view that data mining presents certain challenges that undermines its effectiveness as an ideal tool of knowledge management through e-learning (Ari, 2008; Monk, 2005). As argued in Abdullah (2008) and Chen & et. al. (2004), experiences of the data users in data mining and their accurate interpretation skills to use those data in knowledge management techniques when focusing on e-learning, often generate issues related with complexities and cost as well as time constraints. Emphasising this particular debated issue, the objectives of this particular research have been determined as the following. According to Moore & et. al. (2011), e-learning approach to knowledge management is fundamentally described as a web-based mechanism, which assists the users as well as the learners towards accessing knowledge or information in a convenient and time-efficient manner. In this similar concern, Moore & et. al. (2011) identified that the notion of e-learning emerged as one of the effective ideas in enhancing the knowledge of people through the incorporation of various innovative technological advancements. In this present day context, it can be apparently observed that data mining methods have been widely adopted in the application of e-learning for the purpose of solving numerous problems that arise while retrieving or gathering any data in today’s globalising world. As per the study conducted by Han & et. al. (2011), data mining is utilised in the field of statistics to support decisions in various fields of research including business or education, which tends to apply several techniques, neural networks, visualisation modes and decision trees among others. The various sorts of data mining techniques

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