Abstract 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... 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 in all situations. Lots of works have already been done in mobile and pervasive learning domain on how to integrate the learning process to work whatever the place, time, work individual or collective and integrate of the mobile and pervasive devices in broader training scenarios, and contexts. The pervasive learning systems are context-aware; the main requirement is to adapt them to the changes of context (learner profile, location, mobile devices, and environment). In this paper, we try to answer to the request what and how do we adapt in pervasive learning system. In the first step, we propose an approach focused on the skills and not only on the acquisition of knowledge, we rely on the use of learning situations contextualized based on learning and tasks evaluation to make significant learning by modifying the learning scenario model used in literature. The adaptation of the pervasive learning system must be flexible which allows to the learner for example to answer a question in different ways (using the palette of terms or by typing the solution...); therefore it is necessary to adapt the interface of interaction by adapting the information, their presentation and selecting the media and the media related factors such as image or video quality and size … Read More Read Less

Abstract As a result of ICT development and the increasingly growing use of the Internet in particular, practices of language teaching and learning are about to evolve significantly. Our study focuses on the Arabic language, and aims to explore and evaluate Arabic language learning websites. To reach these goals, we propose in a first step, to define an evaluation model, based... As a result of ICT development and the increasingly growing use of the Internet in particular, practices of language teaching and learning are about to evolve significantly. Our study focuses on the Arabic language, and aims to explore and evaluate Arabic language learning websites. To reach these goals, we propose in a first step, to define an evaluation model, based on a set of criteria for assessing the quality of websites dedicated to teaching and learning Arabic. We subsequently apply our model on a set of Arabic sites available on the web and give an assessment of these web sites. We finally discuss their strengths and limitations. Read More Read Less

Abstract Finding a relevant paper has become a problem in exponentially growing web repositories of scientific documents, where scalability, semi structured information and evolving knowledge diffusion terms are escalating it. As a result, a user may receive millions of irrelevant hits through web interfaces like Google Scholar, CiteULike, CiteSeer etc. Proper Classification of these documents can address the problem with better... Finding a relevant paper has become a problem in exponentially growing web repositories of scientific documents, where scalability, semi structured information and evolving knowledge diffusion terms are escalating it. As a result, a user may receive millions of irrelevant hits through web interfaces like Google Scholar, CiteULike, CiteSeer etc. Proper Classification of these documents can address the problem with better results subject to the provision of up to date scientific document classification system and automated capability of correctly classifying the evolving terms like wikification, tweets, etc. Classification systems or taxonomies are being used in different domains like ACM classification in computer science. However, it lacks automatic updates and incapable of classifying modern scientific terms accordingly. Several approaches are being used for creating automatic classification i.e. co-occurrence analysis, keywords analysis, and using domain models ,etc. However, the current approaches have their limitations. In this paper, we proposed and implemented a new approach of finding the evolving classification, termed as concept classifier for the scientific community by finding the correlation between title terms and keywords of the paper. Initially the experiment has been conducted over the dataset of journal i.e. Journal of Universal Computer Science (J.UCS) .The resultant taxonomy has been verified and compared with the Growbag dataset (DBLP dataset of co-occurrence terms). The developed concept classifier is useful for classification of scientific documents. Read More Read Less

Abstract The application of podcast in foreign language learning is still in the early stages and lack empirical exploration to support its use. Learners’ acceptance of podcast as a learning tool remains unclear. In this study, an attempt was made to gauge the perception of students towards (a) the podcast content and design, and (b) the benefits of using podcast in... The application of podcast in foreign language learning is still in the early stages and lack empirical exploration to support its use. Learners’ acceptance of podcast as a learning tool remains unclear. In this study, an attempt was made to gauge the perception of students towards (a) the podcast content and design, and (b) the benefits of using podcast in language learning. We collected data from 23 indigenous (Malay) undergraduates who were learning Mandarin as a foreign language in a public university in Malaysia. The results of this study indicate that the learners showed positive perception towards using podcast as a supplementary learning tool in learning Mandarin. Further studies on the use of podcast to provide more empirical evidence that will hopefully fill the research gaps is encouraged. This article recommends that teachers investigate their students’ needs and learning motivation before they produce any podcast. Read More Read Less

Abstract Today, learner grouping has an important role in the sagacity of E-learning systems. In recent researches in this field, researchers have tried to improve basic grouping methods by combining them with optimization approaches. This complicates learner grouping methods and one dimensionality looking toward clustering, causes the quality of the produced groups decreases. This paper proposes a new method based on... Today, learner grouping has an important role in the sagacity of E-learning systems. In recent researches in this field, researchers have tried to improve basic grouping methods by combining them with optimization approaches. This complicates learner grouping methods and one dimensionality looking toward clustering, causes the quality of the produced groups decreases. This paper proposes a new method based on feedback from basic clustering method such as fuzzy c-means and k-means which it is called Hybrid Clustering Method (HCM). To judge of the best cluster, in HCM, based on cluster’s center proximity, a correspondence is made between similar clusters and then the best cluster is selected among similar clusters based on an index relating to the cluster’s density concept. In the next stage, repetitive and eliminated elements are modified. This method looks at clustering problem as perspective of several different methods while maintaining the simplicity of basic cluster algorithms. The proposed method is evaluated and compared with other methods by using Purity and Gathering (P&G) index. The experimental results show that the proposed method has the best results when compared to the other methods such as fuzzy c-means, k-means and Evolutionary Fuzzy C-means (EFC) in perceptual dimension of learners grouping. Read More Read Less

Abstract 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 in all... 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 in all situations. Lots of works have already been done in mobile and pervasive learning domain on how to integrate the learning process to work whatever the place, time, work individual or collective and integrate of the mobile and pervasive devices in broader training scenarios, and contexts. The pervasive learning systems are context-aware; the main requirement is to adapt them to the changes of context (learner profile, location, mobile devices, and environment). In this paper, we try to answer to the request what and how do we adapt in pervasive learning system. In the first step, we propose an approach focused on the skills and not only on the acquisition of knowledge, we rely on the use of learning situations contextualized based on learning and tasks evaluation to make significant learning by modifying the learning scenario model used in literature. The adaptation of the pervasive learning system must be flexible which allows to the learner for example to answer a question in different ways (using the palette of terms or by typing the solution...); therefore it is necessary to adapt the interface of interaction by adapting the information, their presentation and selecting the media and the media related factors such as image or video quality and size … Read More Read Less

Abstract As a result of ICT development and the increasingly growing use of the Internet in particular, practices of language teaching and learning are about to evolve significantly. Our study focuses on the Arabic language, and aims to explore and evaluate Arabic language learning websites. To reach these goals, we propose in a first step, to define an evaluation model, based on a set... As a result of ICT development and the increasingly growing use of the Internet in particular, practices of language teaching and learning are about to evolve significantly. Our study focuses on the Arabic language, and aims to explore and evaluate Arabic language learning websites. To reach these goals, we propose in a first step, to define an evaluation model, based on a set of criteria for assessing the quality of websites dedicated to teaching and learning Arabic. We subsequently apply our model on a set of Arabic sites available on the web and give an assessment of these web sites. We finally discuss their strengths and limitations. Read More Read Less

Abstract Finding a relevant paper has become a problem in exponentially growing web repositories of scientific documents, where scalability, semi structured information and evolving knowledge diffusion terms are escalating it. As a result, a user may receive millions of irrelevant hits through web interfaces like Google Scholar, CiteULike, CiteSeer etc. Proper Classification of these documents can address the problem with better results subject to... Finding a relevant paper has become a problem in exponentially growing web repositories of scientific documents, where scalability, semi structured information and evolving knowledge diffusion terms are escalating it. As a result, a user may receive millions of irrelevant hits through web interfaces like Google Scholar, CiteULike, CiteSeer etc. Proper Classification of these documents can address the problem with better results subject to the provision of up to date scientific document classification system and automated capability of correctly classifying the evolving terms like wikification, tweets, etc. Classification systems or taxonomies are being used in different domains like ACM classification in computer science. However, it lacks automatic updates and incapable of classifying modern scientific terms accordingly. Several approaches are being used for creating automatic classification i.e. co-occurrence analysis, keywords analysis, and using domain models ,etc. However, the current approaches have their limitations. In this paper, we proposed and implemented a new approach of finding the evolving classification, termed as concept classifier for the scientific community by finding the correlation between title terms and keywords of the paper. Initially the experiment has been conducted over the dataset of journal i.e. Journal of Universal Computer Science (J.UCS) .The resultant taxonomy has been verified and compared with the Growbag dataset (DBLP dataset of co-occurrence terms). The developed concept classifier is useful for classification of scientific documents. Read More Read Less

Abstract The application of podcast in foreign language learning is still in the early stages and lack empirical exploration to support its use. Learners’ acceptance of podcast as a learning tool remains unclear. In this study, an attempt was made to gauge the perception of students towards (a) the podcast content and design, and (b) the benefits of using podcast in language learning. We... The application of podcast in foreign language learning is still in the early stages and lack empirical exploration to support its use. Learners’ acceptance of podcast as a learning tool remains unclear. In this study, an attempt was made to gauge the perception of students towards (a) the podcast content and design, and (b) the benefits of using podcast in language learning. We collected data from 23 indigenous (Malay) undergraduates who were learning Mandarin as a foreign language in a public university in Malaysia. The results of this study indicate that the learners showed positive perception towards using podcast as a supplementary learning tool in learning Mandarin. Further studies on the use of podcast to provide more empirical evidence that will hopefully fill the research gaps is encouraged. This article recommends that teachers investigate their students’ needs and learning motivation before they produce any podcast Read More Read Less

Abstract Today, learner grouping has an important role in the sagacity of E-learning systems. In recent researches in this field, researchers have tried to improve basic grouping methods by combining them with optimization approaches. This complicates learner grouping methods and one dimensionality looking toward clustering, causes the quality of the produced groups decreases. This paper proposes a new method based on feedback from basic... Today, learner grouping has an important role in the sagacity of E-learning systems. In recent researches in this field, researchers have tried to improve basic grouping methods by combining them with optimization approaches. This complicates learner grouping methods and one dimensionality looking toward clustering, causes the quality of the produced groups decreases. This paper proposes a new method based on feedback from basic clustering method such as fuzzy c-means and k-means which it is called Hybrid Clustering Method (HCM). To judge of the best cluster, in HCM, based on cluster’s center proximity, a correspondence is made between similar clusters and then the best cluster is selected among similar clusters based on an index relating to the cluster’s density concept. In the next stage, repetitive and eliminated elements are modified. This method looks at clustering problem as perspective of several different methods while maintaining the simplicity of basic cluster algorithms. The proposed method is evaluated and compared with other methods by using Purity and Gathering (P&G) index. The experimental results show that the proposed method has the best results when compared to the other methods such as fuzzy c-means, k-means and Evolutionary Fuzzy C-means (EFC) in perceptual dimension of learners grouping. Read More Read Less