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Example 8: Auralog Tell-Me-More Speech Recognition Test
2008/08/29
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How usable is the Auralog Speech Recognition for language learning? This test, by a non-native speaker of English, gives some authentic data points.
The test shows: Auralog Speech Recognition
- can be easily tripped up; however, by errors that a non-native language learner would not normally make
- more concerning is that the built-in AI, instead of e.g. escalating to additional feedback or help, like the pronunciation waveforms (which in itself seem to encourage only repeated attempts to mimic a given intonation, while not being fine-grained enough to spot mispronunciations on a word, let alone letter level) – lowers the requirements when a speaker repeatedly fails (which in extreme seems to amount to “waving through” any utterance).
- the preset dialogue – only few exercises including wrong answer options, most exercises testing only a comprehensible pronunciation of a given reading text which makes the exercise much easier for the built-in speech recognition, but also much less realistic and useful for a language learner (or more of a reading exercise).
Do more with LLAS. Aston e-Learning Centre Year 1.
2008/03/31
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Presentation given at the CETL Symposium – Digital Language Labs: exploring good practice, March 15, 2007. SOAS, London, UK.
How to enable your SMEs to collaboratively define and add metadata to learning materials
2008/03/28
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- We have been asked to manage digital assets (including web links) and enabling incorporating them as learning materials within a series of study programs.
- We researched a number of metadata schemas and controlled vocabularies that have been applied to language and social sciences learning materials before,
- and incorporated those into the below MS-Excel application, to allow for easy marking up of existing assets by SMEs – using collaborative tagging instead of the more familiar, but more easily conflicting, since mutually exclusive folder hierarchy (unidirectional-tree structure).
- In addition, SMEs can expand and develop the controlled vocabulary, by adding tags of their own, as you can see at the end of this demo:
MS-Office Templates for the computerized Foreign Language Classroom. LLAS-sponsored Workshop2Go.
2007/07/31
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An LLAS-sponsored workshop held at Aston University in Birmingham and University of Nottingham. This is a raw unedited screencast of the former from the presenter screen (sorry, the video of demonstration screencasts played during this screencast do not get recorded due to hardware acceleration – I’ll insert them if I get around to cut this screencast).
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