TBLT and peer interaction beyond the traditional classroom: Exploring task engagement and its relationships with learners’ socioeconomic status

Research output: Journal PublicationArticlepeer-review

Abstract

Previous research has offered valuable insights into second language (L2) learners’ engagement in task-based peer interaction but has mostly focused on traditional classrooms, limiting the generalizability of findings. Guided by Svalberg’s engagement model, this study expands task-based language teaching (TBLT) research by examining how Russian-speaking adults learning English outside academia engage in communicative tasks. Recognizing that L2 learning is influenced by broader sociodemographic factors, the study also examines how socioeconomic status (SES), an under-researched individual difference (ID), shapes this engagement. Thirty-two learners representing five SES categories completed three online tasks (picture differences, consensus, and conversation). Engagement was analyzed through the number, type, and resolution of language-related episodes (LREs) at the dyad level and through cognitive, affective, and social dimensions at the individual level. Most LREs focused on vocabulary (62% resolved correctly), with learners frequently showing enjoyment and responsiveness. Fewer LREs occurred during the scholarship task, likely due to limited authenticity. Lower-SES individuals showed reduced engagement when dyads had fewer shared experiences related to travel and similar topics. Although qualitative patterns suggested a relationship between SES and engagement, no significant correlations emerged. The findings demonstrate the potential of TBLT beyond traditional classrooms and highlight the importance of designing authentic, inclusive tasks.
Original languageEnglish
Article number103915
JournalSystem
DOIs
Publication statusPublished Online - 6 Nov 2025

Keywords

  • Task-based language learning
  • Peer Interaction
  • English language learning
  • Individual differences
  • Engagement
  • Socioeconomic status (SES)
  • diverse samples

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