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E-learning has witnessed a great interest from the part of corporations, educational institutions and individuals alike. As an education pattern, e-learning systems have become more and more popular. It commonly refers to teaching efforts propagated through the use of computers in a bid to impart knowledge in a non traditional classroom environment. As a prerequisite for an effective development of...
This paper describes a proposition for constructing an automatic personalization system based on SVM (support vector machine) method. Our approach helps the learning units designers to select automatically the learning scenarios adapted to learners. In our experimentation, we have used a database that contains information about computer science engineering students of the Tlemcen university and descriptions...
In this paper, we investigate the problem of mispronunciation detection by considering the influence of speaker and syllables. Machine learning techniques are used to make our method more convenient and flexible for new features, such as syllables normalization. The experimental results on our database, consisting of 9898 syllables pronounced by 100 speakers, show the effectiveness of our method by...
To provide e-learning service more efficiently and effectively, Data mining technique have been applied in web-based distance education such as personalized service provision, server load prediction, etc. In web-based e-learning system, web server is the key and core component. In this paper, a novel server load prediction model is put forward by employing support vector machines (SVM). In addition,...
Learning in online open networking environments turned out possible by today's widespread use of Internet technologies, has led to the development of a broad range of products for web-based courses at University level. However, although elearning in education is well established, there are a few attempts to extract information during the course final evaluation phase. In other words, while evaluation...
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