The impact of pragmalinguistic support on video-conferenced collaborative suggestion-giving task

Abstract

Abstract This study explored the impact of pragmalinguistic support on L2 users’ suggestion-giving task performance. Data came from 12 pairs of L2 users in a Zoom-mediated university course. They collaboratively wrote suggestions for improvement in their peers’ lesson plans using Office 365. Six pairs received pragmalinguistic support, while the others wrote their suggestions on their own. Audio-recorded pair discussions were coded qualitatively, and the written suggestions were analyzed in terms of linguistic and pragmatic characteristics. The results showed that pragmalinguistic support encouraged the participants to engage more in language-related and task-related episodes. Also, their suggestions contained more diverse lexical downgraders and conventional suggestion-giving expressions. By contrast, those who wrote suggestions without pragmalinguistic support engaged more in pragmatic-related episodes, relying extensively on epistemic modal verbs (e.g., would). The findings indicate that pragmalinguistic support may help L2 users to better attend to task content and language, producing lexically and pragmatically richer output.