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Full-Text Articles in Computer Engineering
Predicting Customer Retention Of An App-Based Business Using Supervised Machine Learning, Jeswin Jose
Predicting Customer Retention Of An App-Based Business Using Supervised Machine Learning, Jeswin Jose
Dissertations
Identification of retainable customers is very essential for the functioning and growth of any business. An effective identification of retainable customers can help the business to identify the reasons of retention and plan their marketing strategies accordingly. This research is aimed at developing a machine learning model that can precisely predict the retainable customers from the total customer data of an e-learning business. Building predictive models that can efficiently classify imbalanced data is a major challenge in data mining and machine learning. Most of the machine learning algorithms deliver a suboptimal performance when introduced to an imbalanced dataset. A variety …
E-Learning And Knowledge Management: The Development Of An E-Learning System For Organisational Training, Alan Muhire
E-Learning And Knowledge Management: The Development Of An E-Learning System For Organisational Training, Alan Muhire
Dissertations
Information technology has major role in most successful companies and organisations around the world, most companies are using IT to reduce operation cost, while improving customer service by providing service twenty four hours, seven days a week and improving communication that helps keep pace with competitors. In most companies and organisation training is a process carried out on a regular basis; the quality of training offered to employee will be reflected on how knowledgeable the staff will become resulting in the organisation becoming more successful. As organisations and companies are currently interested in improving knowledge management, employees are equally working …
The Effect Of Learning Styles And E-Learning Tools On The Training Of Ict To Digital Immigrants In Life Long Learning, Stephen Horan
The Effect Of Learning Styles And E-Learning Tools On The Training Of Ict To Digital Immigrants In Life Long Learning, Stephen Horan
Dissertations
The diversity of learners in the classroom has expanded significantly in the past twenty years, in a modern classroom it is unsurprising to see learners for whom English is not their first language, learners with specific learning difficulties, mature learners, learners attempting to return to work, etc., so much so that the 'typical' learner has become extinct. This research will look at the use of Information Communication Technology in Education by undertaking an investigation of how the use of ICT can aid learners, both digital natives and digital immigrants. The project will use learning styles at the core of an …
Towards Universally Designed Assistive Technology E-Learning, Karl O'Keeffe
Towards Universally Designed Assistive Technology E-Learning, Karl O'Keeffe
Dissertations
The aim of this dissertation is to provide Assistive Technology (AT) professionals involved in the area of education and training with a set of reusable technological tools and techniques that will enable them to increase the reach, efficiency, effectiveness and accessibility of their training through online delivery. There are a number of broadly accepted reasons why an organisation in any field might choose to make training available online or partially online (blended) rather than relying on traditional face to face methods. Of the four considered here and mentioned above, accessibility is the biggest concern in the context of AT. It …