More and more organizations are integrating Web 2.0 technologies to enhance their organizational learning abilities. However, relatively little attention has been paid to the use of Web 2.0 technologies in organizational settings. This research attempts to understand what drives a person’s use of Web 2.0 technology in organizational settings. To achieve this objective, we conducted a case study...

Podcasting and vidcasting have become the new hot topic in education, with services such as Apple’s iTunes U making it easy for Universities in particular to promote their courses to a wider audience. Standford University in the US has led this new wave of technology, even going so far as to “provide...downloads of faculty lectures, campus events, performances, book readings, music recorded by ...

most of the last decade. Why, then, in the past two years has podcasting exploded onto the scene and become such a hot topic in educational technology? How does this new technology and its widespread adoption create new opportunities in education? Is it just a passing trend, or is there genuine potential to improve the quality of the educational experience and learning outcomes? This paper atte...

Introduction Current-generation automatic speech recognition systems represent words as sequences of phonemes. This “phonemic beads on a string” approach provides satisfactory performance for scripted material and welldefined-vocabulary tasks, but performs poorly when applied to more casual (and realistic) styles of speaking. For large-vocabulary unscripted tasks, sophisticated phoneme-based pr...

This paper presents results from a number of exible vocabulary recognition experiments on the Norwegian SpeechDat(II) database. A common phoneme-based recogniser design procedure is tested on ve di erent tasks, and for ve di erent training sets. Results verify that reasonably accurate recognisers can be built with the database, using standard HMM techniques. They also quantify the importance of...

Lattice segmentation techniques developed for Minimum Bayes Risk decoding in large vocabulary speech recognition tasks are used to compute the statistics needed for discriminative training algorithms that estimate HMM parameters so as to reduce the overall risk over the training data. New estimation procedures are developed and evaluated for both small and large vocabulary recognition tasks, an...

This paper gives an overviewof the Philips Research system for continuousspeech recognition. The recognition architecture is based on an integrated statistical approach. The system has been successfully applied to various tasks in American English and German, ranging from small vocabulary tasks to very large vocabulary tasks and from recognition only to speech understanding. Here, we concentrat...

III Listening comprehension is a multifaceted L2 skill and its actual mastery has proved challenging for many EFL learners (Matthews, 2018). Pre-listening supports may help us change the dire situation in developing effective listening competence. Therefore, the current study tried to examine the effect of vocabulary preparation, grammar instruction and background knowledge activatio...

The purpose of this study was to investigate the effect of two strategies of explicit teaching of economic terms on learners' vocabulary learning and retention. In the first explicit strategy, known as 'etymological elaboration', the focus was on presenting conceptual metaphors through 'identify-the-source' tasks, that is, providing the learners with the source domains underlying the metaphors,...

Este artigo trata de caracterizar o processo criação do Mundaréu, um dos primeiros podcasts Antropologia lançados no país. Ele é produzido em parceria entre Laboratório Estudos Avançados Jornalismo (LABJOR) na Universidade Estadual Campinas e Departamento Brasília. O discute que podcast, podcasting, podosfera, como divulgação científica, formato podcasting para as atividades ensino, pesquisa ex...