Abstract
A primary undertaking in communicative language teaching is to ensure second language (L2) speakers develop the ability to interact in real-world communicative events, a skill known as interactional competence (IC). Thus far, there have been few needs analysis studies conducted on L2 IC, posing challenges when ascertaining whether the teaching and testing of L2 IC are empirically grounded. Henceforth, the researcher carried out a needs analysis to systematically investigate the IC learning needs of speakers of L2 Chinese, which in itself represents an under-investigated target language in present-day needs analysis literature. A considered methodology was utilized to elicit triangulated information from 18 participants. Content analysis of the elicited data identified seven IC learning categories: (1) social actions, (2) sociopragmatic knowledge, (3) pragmalinguistic knowledge, (4) interactional structure, (5) content knowledge, (6) linguistic resources, and (7) nonverbal resources. Results revealed disaffiliative social actions (e.g. complaining) to be most challenging. The management of social actions was mediated by speakers’ sociopragmatic knowledge (e.g. social distance) and pragmalinguistic knowledge (e.g. formality devices). Other learning categories such as interactional structure (e.g. topic development) and nonverbal resources (e.g. gaze) contributed to successful interaction at a more foundational level. Based on these findings, this article proposes a three-tier IC needs model to conceptualize the hierarchical interrelationships among the seven categories. In addition, the researcher generated lists of IC learning needs for each category and subcategory to assist language educators with developing targeted IC teaching and assessment tasks. The IC needs model and needs lists constitute a pedagogical toolkit for the systematic incorporation of IC in task-based language teaching, language curricula and language programs. This article also discusses how methodological considerations and innovations formulated in the study can contribute to needs analysis research in general.
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