Design and Development of a Web Extension to Help Facilitate the Learning of a Foreign Language

Learning a foreign language is a time consuming task that requires perseverance, commitment and hard work. The time required to learn a foreign language can range from hundreds to thousands of hours, depending on the language being learnt and the native language of the learner. Two major barriers to learning a language are lack of motivation and time. Spending increasing amounts of time online also has a detrimental effect on learning a language. The global digital language learning industry is growing and the market has more than doubled in size in the last decade due to the world becoming increasingly interconnected. There is a need to provide users with a web browser extension that is both interactive and continuous for learning a language. This paper presents the design and development of a web browser extension that will help facilitate the learning of foreign languages. The web extension overrides the default content when either a new tab or window is opened with interactive language learning material. The web extension is compatible with the desktop version of the Chrome web browser. Each time a new tab or window is opened, a range of language learning material are presented at random, which can be read, understood and completed in 30 seconds or less with immediate feedback. Overriding the web browser’s functionality ensures the user is exposed to language learning material

Comparative Study on Heterogeneous Profiling Sources for Second Language Learners

2nd International Conference on Technology in Education: Technology-Mediated Proactive Learning, ICTE 2015, 2-4 July 2015Stimulated by the arrival of the big data era, various and heterogeneous data sources such as data in social networks, mobile devices and sensor data for users have emerged, mirroring characteristics and preferences of data owners. These data sources are often used to construct user profiles so as to facilitate personalized services like recommendations or personalized data access. In the context of second language learning, learner data involve learning logs, standard test results, and individual learning preferences and styles. Given its attribute of reflecting the characteristics of learners, such data can be exploited to build the learner profiles. However, these data sources possibly include noises or bias, and hence influence the reliability of the correspondingly constructed learner profiles. Consequently, the inaccurate profiles may result in ineffective learning tasks that are generated by e-Learning systems. To tackle this issue, it is significant and critical to evaluate the accuracy of learner profiles. In a response to this call, we propose a novel metric named "profile mean square error" to examine the accuracy of learner profiles founded upon diverse sources. We also demonstrate how to construct various learner profiles though applying different data sources such as learning logs, standard test results, and personal learning preferences in e-Learning systems and pedagogical activities. Moreover, we conduct an experimental study among some second language learners, the results of which illustrate that the most accurate profiles are generated from multiple data sources if they are integrated in a rational way.English Language Centr

Breadth and Depth Specialized Vocabulary Learning in Theology among Native and Non-Native English Speakers

A study examined native and nonnative English-speaker (NES and NNES) students\u27 knowledge and learning of specialized vocabulary over one academic term in a graduate school of theology. Findings revealed that both groups brought some breadth and depth of knowledge of specialized theological vocabulary to their studies, but the NNES group\u27s scores on both measures tended to be lower than those of NESs, there was an overall increase in scores at the end of the term, and the gap between the NNES and NES groups in breadth of vocabulary knowledge was essentially bridged but for depth of knowledge it actually widened