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Today, mobile learning is becoming a new important learning style in our modern life. It is handy because mobile devices are used not only for communicating but also for learning in a mobile context. Mobile devices have the potential to be used as powerful m-learning tools in different learning contexts. However this poses new challenges that are associated with their ability to cope with the available...
Nowadays, with the rapid progress of computer technology, some new words like big data, visualization emerge in endlessly. Meanwhile, research of these respects is still ongoing. By using data visualization technology, we can obtain an excellent data analysis result. By using Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) system, this paper is to build a method of individual adaptive...
In this paper we analyse and evaluate, in which ways learning techniques can be applied to agents in an open system, which have to map continuous situations into a continuous action space. The agents are part of an open desktop grid, where agents can offer and use computational power of other volunteer agents in order to improve their speedup for bag of-task applications. Moreover, the agents use...
With the continuous evolution and convergence of wireless technologies, mobile devices and sensors, the mobile, ubiquitous and pervasive learning have appeared next to the e-learning to re-organize, on the one hand, the way users interact with the technology, and on the other hand, to provide users a permanent and transparent access to information and contextual services in any time, everywhere and...
Mobile learning technology is growing rapidly and it has great potential in providing students with learning opportunities - anytime and anywhere. With a variety of tools and resources always available, mobile learning provides increased options for the personalization of learning. With access to so much content anytime and anywhere, there are plenty of opportunities for individual learning. However,...
People, who have some degree of disability, generally have difficulties in social integration, education and labor. This paper presents the design and implementation of a system which, thanks to its adaptive characteristics, presents the content and display of the course topics at an educational environment, considering the characteristics and needs of people with and without hearing disability. The...
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are available, a filter adaptation in the frequency domain is proposed in the context of Non-Negative Matrix Factorization with the Itakura-Saito divergence. The algorithm is able to retrieve the acoustical filter applied to the sources...
Student model is an essential component in any adaptive learning environment. Various student modelling approaches have been suggested in the literature that focus on learners' competencies, preferences and other personal attributes. However, there is a lack of a comprehensive student model that combines various aspects of student modelling while also considering the aspects of location and context...
Our research focuses on assisting teachers to design their own learning systems in the context of model driven engineering approach. Within this approach, the teacher can create his own modeling language or reuse an existing one. However, the reuse gives rise to a lack of contextual expressiveness and requires teacher's adaptation to the language syntax and semantic. We propose a solution based on...
In the p-LearNet project, we are interested in TEL systems integrating context-aware corporate learning and working activities for e-retail (shops and hypermarkets). The main issues of the p-LearNet project are: work-integrated learning and customer learning support whatever the place, the time, the organisational and technological contexts of the individual or collective learning and working processes...
This paper combines insights from literature on complex systems and applies them to e-government which is treated as adaptive systems that have to match the complexity of their environments. E-government systems are complex human-computer systems. Complex systems often exhibit the capacity to self-organize or adapt, even without outside influence. The compatibility of e-government evolution with principles...
Co-evolving a robotpsilas sensor morphology and control program increases the potential that it can effectively complete its tasks and provides a means for adapting to changes in the environment. In previous work, we presented a learning system where the angle, range, and type of sensors on a hexapod robot, along with the control program, were evolved. Although three sensor stimuli were detectable...
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