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This study reports on a task-based analysis of target discourse by examining a corpus of naturally occurring face-to-face office-hour interactions between English-speaking students and instructors at a US university. Fourteen office hours involving 106 interactants were extracted from the Michigan Corpus of Academic Spoken English and coded for types of office hours, sub-tasks, and pragmatic and interactional features. Based on the findings, a prototypical model of an office-hour interaction was produced, which can serve as a sound basis for developing genuine pedagogic tasks for teaching EAP students the necessary second language pragmatics to navigate office-hours.
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