Effects of mobile-supervised question-driven collaborative dialogues on EFL learners’ communication strategy use and academic oral English performance

Author:

Cai Yuesheng,Zhang Lawrence Jun

Abstract

This study investigated the effects of mobile-supervised question-driven collaborative dialogues (QDCDs) on reducing lower-intermediate-level English as a foreign language (EFL) participants’ tendency of their first language (L1) use in academic collaborative dialogues and on improving their academic foreign language (L2) oral performance. Throughout a whole semester, one group (n = 20) was involved in a mobile-supervised QDCDs intervention and a control group (n = 26) was involved in QDCDs with no supervision. Three semi-open-ended and three closed-ended academic questions were used to elicit pre-and post-study oral performance data from the participants. Independent-samples t-tests showed that after the intervention, the mobile-supervised group outperformed its control counterpart in a statistically significant manner in terms of Non-repeated L2 word production (NRW), T-unit count (TC), and Mean Length of Run after pruning (MLRP). The intervention group also significantly reduced their dependence on their L1-based speaker compensatory communication strategies (SC-CSs) in QDCDs. These results suggest that the intervention group outperformed the control group in their L2 academic oral performance and their language use tendency moves toward the L2 during QDCD. Based on the findings, we conclude that, even though L1 oral output may temporally enhance the quality of lower-intermediate-level EFL learners’ tasks, it may inhibit their academic oral proficiency development in the long run. Methods for fragmental bilingual oral output analysis are introduced. Pedagogical implications of the findings for MALL are also discussed.

Publisher

Frontiers Media SA

Subject

General Psychology

Reference80 articles.

1. Mobile technology and student autonomy in oral skill acquisition;Al-Jarf,2012

2. Exploring chat-based communication in the EFL class: computer and mobile environments;Andujar;Comput. Assist. Lang. Learn.,2021

3. Trouble-shooting in interaction with learners: the more the merrier?;Aston;Appl. Linguis.,1986

4. The proficiency gap in late immersion (extended French): language use in collaborative tasks;Behan;Le Journal de L’immersion,1997

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