Listening to the “noise” in the data
The critical importance of individual differences in second-language speech
The term “noise” is often applied to the seemingly random variability that always appears in human data, and which
is assumed to be of no interest to the researcher. Some of this variability is unavoidably due to measurement tools or the way in
which we use them, and some is due to the unstable nature of human behaviour. In such cases, we may be justified in treating the
variability as irrelevant noise. However, we cannot assume that all inexplicable variation is unimportant. Using
examples from earlier research, I will argue that individual variability is a phenomenon worthy of study in its own right. Not
only can it help us understand the nuances of the learning process, but giving it careful consideration can be a valuable step in
determining how to effectively apply research findings in pedagogy.
Article outline
- 1.Introduction
- 2.What do we mean by “individual differences”?
- 2.1Example: Listening conditions and speech intelligibility
- 2.2Example: Acquisition trajectories for English /p/
- 2.3Example: English vowel production by Cantonese speakers
- 3.Conclusions
- Acknowledgements
-
References
References (12)
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Cited by (1)
Cited by one other publication
Goldshtein, Maria, Jaclyn Ocumpaugh, Andrew Potter & Rod D. Roscoe
2024.
The Social Consequences of Language Technologies and Their Underlying Language Ideologies. In
Universal Access in Human-Computer Interaction [
Lecture Notes in Computer Science, 14696],
► pp. 271 ff.
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