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.
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.
The main objective of this research is to provide a solution for online exam systems by using face recognition to authenticate learners for attending an online exam. More importantly, the system continuously (with short time intervals), checks for learner identity during the whole exam period to ensure that the learner who started the exam is the same one who continued until the end and prevent the possibility of cheating by looking at adjacent PC or reading from an external paper. The system will issue an early warning to the learners if suspicious behavior has been noticed by the system. The proposed system has been presented to eight e-learning instructors and experts in addition to 32 students to gather feedback and to study the impact and the benefit of such system in e-learning environment.
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 application
The online education market is expanding both globally and locally; Arab countries are paying special attention to the growth of this sector. Reports showed that the e-learning market arrived at $27.1 billion in the year 2009 and is expected to surpass $49.6 billion by the year 2014. This paper presents and surveys the perception of students and instructors regarding mobile learning and mobile examination system in some Arab countries. Many universities in the Arab world are under progress in the implementation of this new technology and many have already implemented it. Strong tools are required to improve e-learning system of education. This research supports the transition of education from conventional methods to m-learning and m-exam systems. The purpose of this research is to study the perception of both instructors and students regarding mobile learning and mobile examination systems. The introduction of such systems to the educational process requires people involved to have basic technical skills and to be aware of the benefits of such systems. Results showed different perspectives from three countries; also showed that online examination systems could be very helpful, but many factors should be considered and they should be implemented carefully to guarantee the successful adoption, fairness and reliability.
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