In accordance with the approach of open distributed learning environments (ODLEs), we have developed a framework system for computer-supported cooperative learning and working. This distributed shared workspace system is well suited for monitoring and assessing group interaction in co-located and distant scenarios. It provides adaptable mechanisms for the automated micro-analysis of processes o...

Spatial learning of transgenic mice is often assessed in the Morris watermaze, where mice must use distant cues to locate a submerged platform. Such learning is confounded by species-specific noncognitive swimming strategies. Factor analysis permits cognitive and noncognitive strategies to be disentangled and their association with electrophysiological phenomena to be investigated.

Wireless mesh networks (WMNs) which mediates the broadband Internet access, have been recently received many attentions by the researchers. In order to increase capacity in these networks, nodes are equipped with multiple radios tuned on multiple channels emerging multi radio multi-channel WMNs (MRMC WMNs). Therefore, a vital challenge that poses in MRMC WMNs is how to properly assign channels ...

This article applies the concept of classroom community to asynchronous learning networks (ALNs) by taking on the issue of how best to design and implement a course that fosters community among learners who are physically separated from each other. The following factors that can influence sense of community among distant learners are examined: student–instructor ratio, transactional distance, s...

Web-based learning environments have become popular in e-teaching throw WWW as distance learning. There is an urgent need to enhance e-learning to be suitable to the level of learner knowledge. The presented paper uses intelligent multiagent technology to advise and help learners to maximize their learning of an offered e-course. It will build its advices on the performance and level of educati...

Using Internet and WWW to support teaching or learning has become a trend in modern higher education. However, most distant-learning or virtuallearning sites are still limited to the dissemination of teaching materials. Neither the strengths of Internet and WWW have been maximized nor the functions have been fully utilized, for instance, supporting autonomous, exploratory, interactive and colla...

Distant speech recognition is a highly challenging task due to background noise, reverberation, and speech overlap. Recently, there has been an increasing focus on attention mechanism. In this paper, we explore the attention mechanism embedded within the long short-term memory (LSTM) based acoustic model for large vocabulary distant speech recognition, trained using speech recorded from a singl...

In this paper we discuss a new approach to extract relational data from unstructured text without the need of hand labeled data. Socalled distant supervision has the advantage that it scales large amounts of web data and therefore fulfills the requirement of current information extraction tasks. As opposed to supervised machine learning we train generic, relationand domain-independent extractor...