Attention is a psychological construct that plays a pivotal
role in modern theories of L2 teaching and learning. It has been at the
center of discussions over conscious learning and subconscious
acquisition (Krashen, 1982, pp. 10-11; Schmidt, 1990, see p. 150) and,
in recent work, explicit and implicit learning (Ellis et al., 2009). The
latest overviews of attention in L2 research have appeared in surveys
of cognitive approaches to the field (e.g., Schmidt, 2001), encyclopedia
articles (e.g., Robinson, 2007), and introductory textbooks (e.g.,
Ortega, 2009).
Although attention goes hand in hand with instructed L2
learning, measuring attention and theorizing about its role in
educational settings present serious challenges to researchers seeking
to translate findings for the classroom. In this article I first revisit
the construct of attention in terms of three current trends in
measurement practices. I then describe how Norris and Ortega’s (2003)
measurement framework may aid in understanding claims about the role of
attention in L2 learning and teaching.
MEASURING ATTENTION
Currently, there are at least three broad approaches to
measuring attention in L2 research: verbalization, eye-tracking, and
neuroscientific approaches. Each approach offers distinct possibilities
for observing quantifiable phenomena that can be theoretically linked to
attention and noticing.
Verbalization
This approach is perhaps the most widely known but also the
most criticized. Introspection-based verbalization requires no
sophisticated tools although it poses problems of reactivityand
veridicality (Bowles, 2010; Leow & Bowles, 2005). Ericsson and
Simon (1993) claimed that two kinds of reports could accurately reflect
cognitive processes. The first type, concurrent verbal reports, can
suffer from reactivity if the process of verbalization modifies the
cognitive processes. The second type, retrospective reports, suggests
that memory can be at least partially accessed upon task completion; the
retrieval processes, however, may be error-prone and incomplete (i.e.,
the problem of veridicality). Reactivity could threaten validity in
either concurrent or retrospective reports. The threat to veridicality
is more serious in the latter type.
A classic example of the use of verbalization in L2 research
comes from Leow’s work on learners’ noticing of Spanish verb morphology
(1997, 2000). In these studies, learners were instructed to think aloud
while completing crossword puzzles. Leow’s results showed that detection
plus awareness led to higher scores on measures of recognition and
written production.
Eye-tracking
Eye-tracking affords a somewhat different view of mental
processes. Though the relationship between attentional focus and eye
fixation is much debated, Richardson and Spivey (2004) asserted that
such a coupling is likely, providing behavioral and neuropsychological
evidence for support. Applications of eye-tracking tools to attention
research include, among others, studies of reading (see Rayner, 1998,
for an extensive review) and psycholinguistic experiments using the
“visual world” paradigm (Barr, 2008, p. 457). These latter experiments
often involve recording eye movements while participants follow
instructions to manipulate sets of objects.
In a recent eye-tracking study, Godfroid, Housen, and Boers
(2010) piloted a procedure for measuring noticing, which is considered
to be the subjective correlate of attention by Schmidt (1990, 1995,
2001). Three measures were calculated to assess engagement with pseudo
words in a reading task: (a) the length of time of a reader’s first
fixation on a word, (b) the duration of all fixations made before the
eyes move away from a word, and (c) the sum of all fixations, including
regressions to a word after the eyes move away from it. Observed times
for a noticing event on each of these measures supported the authors’
interpretation that eye-tracking can reveal increased attention to form
during naturalistic learning tasks.
Neurocognitive Evidence
Neurocognitive evidence may offer yet another approach to
language learners’ cognitive processing. In a recent study,
Morgan-Short, Sanz, Steinhauer, and Ullman (2010) illustrated how
electroencephalogram recordings, which provide data for the analysis of
event-related potentials (ERPs), can be employed to assess language
training under implicit and explicit conditions. Although behavioral
measures consisting of learner judgments of gender agreement violations
showed that both groups made significant gains in learning an artificial
language, ERP measures uncovered differences in neural responses to
these violations. ERPs are understood to have specific links with
linguistic processing, including the processing of semantic and
morphosyntatic relations (Steinhauer & Connolly, 2008).
Essentially, this kind of research paves the way for understanding
relationships between linguistic structures, proficiency level, learning
conditions, and neurocognitive processes (unlike verbalization or
eye-tracking).
FROM MEASUREMENT TO INTERPRETATION
Although the above options offer potential for future SLA
research, precise tests to examine the construct of attention may also
be supported by the measurement model put forth by Norris and Ortega
(2003). Norris and Ortega’s dynamic measurement cycle consists of both
conceptual stages (i.e., construct definition, behavior identification,
and task specification) and procedural stages (i.e., behavior
elicitation, observation scoring, and data analysis), which spawn from,
and subsequently further develop, researchers’ interpretations about a
construct of interest.
With respect to its definition, although attention is not a
unitary construct (Schmidt, 2001), specific indicators can be stated for
various attentional processes, as described earlier, and these can form
the basis of behavior identification. Conceptualizing attention may
also involve incorporating recent views that propose links to its neural
basis through a number of distinct mechanisms, such as working memory
(Knudsen, 2007). Tasks, the more externally valid of which will be
relevant to naturalistic and/or instructed L2 learning environments,
should then be specified with the goal of eliciting target behaviors.
Scaling down tasks so that they are manageable at the experimental
level, but still familiar to researchers and teachers outside the lab,
is also possible.
Compromises will be necessary, as careful elicitation of
desired behaviors requires considering the merits and demerits of each
approach. For instance, although advances in eye-tracking methods may
allow the examination of joint attention during dialogic interaction,
other methods are more restricted. At the next stage, observation
scoring will require individuals with training in diverse research
skills. With regard to this, and data analysis, rigorous training as
well as collaboration between specialists whose interests converge on
the topic of attention in L2 learning is encouraged. The multiple
perspectives that emerge during such collaboration will also, no doubt,
enhance interpretation, which is, by nature, a common
endeavor.
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Daniel O. Jackson (MS in Education/TESOL, University
of Pennsylvania) is a PhD student in the Department of Second Language
Studies at the University of Hawai’i at Mānoa. His research interests
include task-based language teaching and cognitive interactionist
approaches to SLA. He presently serves as managing editor for Language Learning &
Technology. |