This article describes how information gap tasks can be designed as
instruments for data collection and analysis and as treatments in
interaction research. The development of such tasks is illustrated and
data are presented on their role in drawing learners' attention to
second language (L2) forms that are difficult to notice through classroom
discussion alone. Because the tasks presented here are closed-ended and
precision oriented and require the exchange of uniquely held information,
they promote modified interaction among participants and orient their
attention to form, function, and meaning. These processes can be observed
by the researcher during task implementation. Thus, the tasks reduce
researcher dependence on externally applied treatments and analytical
instruments not integral to the interaction itself. To illustrate this
methodology in use, we report on a study in which six pairs of
intermediate-level English L2 learners carried out three types of
information gap tasks in their classrooms. They first read passages on
familiar topics, whose sentences contained L2 forms that were low in
salience and difficult to master but developmentally appropriate. To
complete the tasks, the learners were required to identify, recall, and
compare the forms, their functions, and their meanings. Data revealed
close relationships among learners' attentional processes, their
recall of form, function, and meaning, and the interactional processes
that supported their efforts.In carrying
out the design and implementation of the tasks in this article, we have
worked most closely with Kristine Billmyer and MaryAnn Julian, and also
Jin Ahn, Marni Baker-Stein, Mara Blake-Ward, Lyn Buchheit, Junko Hondo,
Sharon Nicolary, and Jack Sullivan. Among the many graduate students who
have provided assistance are Vivian Chen, Yao Chen, Yi-Chen Chen, Cathy
Fillman, Leslie Harsch, Hanae Katayana, Ji Hwan Kim, Atsuko Matsui, Lisa
Mullen, Amy Nichols, Matthew Salvatore, Margaret Skaarup, Lauren Smith,
Cheng-Chen Tseng, Debbie Tsui, Melissa Yi, Wei-Chieh Yu, and Mira
Yun.