Negative Correlation Learning for Customer Churn Prediction: A Comparison Study

Recently, telecommunication companies have been paying more attention toward the problem of identification of customer churn behavior. In business, it is well known for service providers that attracting new customers is much more expensive than retaining existing ones. Therefore, adopting accurate models that are able to predict customer churn can effectively help in customer retention campaigns and maximizing the profit. In this paper we will utilize an ensemble of Multilayer perceptrons (MLP) whose training is obtained using negative correlation learning (NCL) for predicting customer churn in a telecommunication company. Experiments results confirm that NCL based MLP ensemble can achieve better generalization performance (high churn rate) compared with ensemble of MLP without NCL (flat ensemble) and other common data mining techniques used for churn analysis

Video Content Search System for Better Students Engagement in the Learning Process

As a component of the e-learning educational process, content plays an essential role. Increasingly, the video-recorded lectures in e-learning systems are becoming more important to learners. In most cases, a single video-recorded lecture contains more than one topic or sub-topic. Therefore, to enable learners to find the desired topic and reduce learning time, e-learning systems need to provide a search capability for searching within the video content. This can be accomplished by enabling learners to identify the video or portion that contains a keyword they are looking for. This research aims to develop Video Content Search system to facilitate searching in educational videos and its contents. Preliminary results of an experimentation were conducted on a selected university course. All students needed a system to avoid time-wasting problem of watching long videos with no significant benefit. The statistics showed that the number of learners increased during the experiment. Future work will include studying impact of VCS system on students’ performance and satisfaction

Video Content Search System for Better Students Engagement in the Learning Process

As a component of the e-learning educational process, content plays an essential role. Increasingly, the video-recorded lectures in e-learning systems are becoming more important to learners. In most cases, a single video-recorded lecture contains more than one topic or sub-topic. Therefore, to enable learners to find the desired topic and reduce learning time, e-learning systems need to provide a search capability for searching within the video content. This can be accomplished by enabling learners to identify the video or portion that contains a keyword they are looking for. This research aims to develop Video Content Search system to facilitate searching in educational videos and its contents. Preliminary results of an experimentation were conducted on a selected university course. All students needed a system to avoid time-wasting problem of watching long videos with no significant benefit. The statistics showed that the number of learners increased during the experiment. Future work will include studying impact of VCS system on students’ performance and satisfaction

A systemic model for measuring the effectiveness of virtual learning programs

Although many universities and corporations invest on relevant resources in virtual learning programs, methods and tools for evaluating their success have not been consolidated. This article conducts an extensive literature review and identifies the measures of effectiveness of virtual learning programs and their influencing factors. The key contribution of this study is the proposed systemic model that can be operationally used to measure the effectiveness of virtual learning programs. The model identifies the determinants of effectiveness, namely, ‘Learner Performance’ and ‘Learner Satisfaction and Confidence’, and the factors that influence significantly them. The model has been cross-checked by a panel of field experts and validated through factor and regression analyses involving a sample of university students. Lastly, the model is operationalized using a tool that guides HR managers and practitioners in assessing the effectiveness of their virtual learning programs

Mobile Application Development for Quran Verse Recognition and Interpretations

Mobile learning or “m-learning” is the process of learning when learners are not at a fixed location or time and can exploit the advantage of learning opportunities using mobile technologies. Nowadays, speech recognition is being used in many mobile applications. Speech recognition helps people to interact with the device as if were they talking to another person. This technology helps people to learn anything using computers by promoting self-study over extended periods of time. The objective of this study is focusing on designing and developing a mobile application for the Arabic recognition of spoken Quranic verses. The application is suitable for Android-based devices. The application is called Say Quran and is available on Google Play Store. Moreover, this paper presents the results of a preliminary experimentation to gather feedback from students regarding the developed applicatio

Knowing Customers Better: An Experimentation of Twit Marketing in the e-Commerce Industry

Internet gives incredible opportunities for companies to learn about their consumers and provides different channels for marketing. Otlobli.com website (an e-commerce company established in Saudi Arabia), uses different channels, such as: Google AdWords, newspaper website banners, official thread on a famous online forum and, Twitter. A marketing tool has been developed to enhance the effectiveness of marketing on Twitter. This research investigates the impact of the developed system. Website access from these various channels was examined, in addition to the number of visitors who have completed an order. Results showed that the tool caused around 49% increase in the number of visits from Twitter, and comparatively, a good percentage of them completed an order

Do We Have to Prohibit the Use of Mobile Phones in Classrooms?

People take their mobile phones everywhere they go. In Saudi Arabia, the mobile penetration is very high and students use their phones for different reasons in the classroom. The use of mobile devices in classroom triggers an alert of the impact it might have on students’ learning. This study investigates the association between the use of mobile phones during classroom and the learners’ performance and satisfaction. Results showed that students get distracted, and that this diversion of their attention is reflected in their academic success. However, this is not applicable for all. Some students received high scores even though they declared using mobile phones in classroom, which triggers a request for a deeper study

Hybrid Enterprise Modelling:Integrating Modelling Mechanisms for Socio-Technical Systems Analysis and Design

Nowadays, Model Driven Development (MDD) is a powerful technique for modelling complex systems and also for aligning business and information technology (IT), giving designers the ability to execute business models as they are intended to be run and behaved in the business environment. The Object Management Group (OMG) adopted many business standards into the Model Driven Architecture (MDA) environment e.g. Semantics of Business Vocabulary and Business Rules (SBVR), the Business Motivation Model (BMM), Business Process Modelling and Notation (BPMN) and Organisational Structure Model (OSM). These can work together to model different aspects of the enterprise at the business level. However, these models lack reasoning and dynamic simulation: there is no significant way to simulate discrete and continuous time system behaviour or to build arguments for reasoning about the design options within the OMG specifications. In this paper we propose an approach to overcoming this problem, by integrating a set of modelling tools into one single platform, taking advantage of meta-modelling techniques to integrate new tools with the OMG specifications in a model driven environment. The prospective framework should be able to tackle advanced analysis and design problems by intertwining design, reasoning and simulation to achieve a higher level of design maturity through implementing the desired scenario

Collaborative learning experiences in teaching of e-business management

In the context of the e-Business Management Section (eBMS) of the Scuola Superiore ISUFI at University of Salento (Italy), the case of the International Master in e-Business Management (IMeBM) is discussed here which is aimed to contribute pragmatically to create e-Business Capabilities in Mediterranean Countries. This chapter presents the results obtained in the Laboratory Phase of the first two years of Master's editions, i.e. 2006 and 2007 editions. This phase has been designed on blended (on-line and off-line) learning experience. Specifically, it has been structured by mixing the delivery of some Web learning courseware with face-to-face meetings with mentors and e-Business experts. The technological platform designed, developed and adopted for the Web learning activities is called the "Virtual eBMS" that represents the collaborative learning environment of the Mediterranean School. The pedagogical approach adopted by the School, named ("Learning-in-Action") together with some considerations on the effectiveness and the implications of the Problem-Based Learning (PBL) strategy are also deliberated upon. It also presents how the whole case of the International Master in e-Business Management generated intellectual capital assets, described in terms of Human Capital (competences developed in the e-Business context), Social Capital (networks and cooperation with local institutions and companies) and Structural Capital (research projects)