Effects of Learners’ Proficiency Pairing on Task Engagement and Text Quality in L2 Digital Collaborative Writing

ABSTRACT This experimental study investigates how pairing learners by English proficiency shapes task engagement and text quality in L2 digital collaborative writing (CW). We captured both self‐perceived and observed task engagement in a digital CW task through multiple data sources: a self‐report questionnaire, multimodal interaction logs, and collaborative artifacts. A cohort of thirty‐six undergraduates from a top‐tier Chinese university was grouped into high‐, low‐, and mixed‐proficiency dyads. Using a synchronous writing tool with video conferencing, we collected multimodal interaction logs and artifacts, alongside a post‐task questionnaire on cognitive, social, and emotional engagement. Meanwhile, observed task engagement was measured through multimodal interaction data focusing on language‐related episodes (LREs), idea units, instances of responsiveness, and expressions of enjoyment. Findings revealed discrepancies between self‐perceived and observed task engagement, especially in cognitive and social dimensions. High‐proficiency dyads reported lower cognitive engagement yet produced more LREs than low‐ and mixed‐proficiency dyads. Mixed‐proficiency dyads reported higher social engagement but showed fewer instances of responsiveness than low‐proficiency dyads. Text complexity was significantly lower for mixed‐proficiency dyads than for both high‐ and low‐proficiency dyads.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Linguistics
Published
2026-01-04
DOI
https://doi.org/10.1111/ijal.70087
Primary Topic
EFL/ESL Teaching and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Learners’ Proficiency Pairing on Task Engagement and Text Quality in L2 Digital Collaborative Writing

Mark Feng Teng, Lin Sophie Teng, Zhenfei Wang
International Journal of Applied Linguistics
EFL/ESL Teaching and Learning
article

Effects of Learners’ Proficiency Pairing on Task Engagement and Text Quality in L2 Digital Collaborative Writing

Mark Feng Teng, Lin Sophie Teng, Zhenfei Wang
article en

Abstract

ABSTRACT This experimental study investigates how pairing learners by English proficiency shapes task engagement and text quality in L2 digital collaborative writing (CW). We captured both self‐perceived and observed task engagement in a digital CW task through multiple data sources: a self‐report questionnaire, multimodal interaction logs, and collaborative artifacts. A cohort of thirty‐six undergraduates from a top‐tier Chinese university was grouped into high‐, low‐, and mixed‐proficiency dyads. Using a synchronous writing tool with video conferencing, we collected multimodal interaction logs and artifacts, alongside a post‐task questionnaire on cognitive, social, and emotional engagement. Meanwhile, observed task engagement was measured through multimodal interaction data focusing on language‐related episodes (LREs), idea units, instances of responsiveness, and expressions of enjoyment. Findings revealed discrepancies between self‐perceived and observed task engagement, especially in cognitive and social dimensions. High‐proficiency dyads reported lower cognitive engagement yet produced more LREs than low‐ and mixed‐proficiency dyads. Mixed‐proficiency dyads reported higher social engagement but showed fewer instances of responsiveness than low‐proficiency dyads. Text complexity was significantly lower for mixed‐proficiency dyads than for both high‐ and low‐proficiency dyads.

International Journal of Applied Linguistics
Macao Polytechnic University (MO), Zhejiang University (CN)
Quality Education
Openalex Percentile: Top 97%
EFL/ESL Teaching and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Effects of Learners’ Proficiency Pairing on Task Engagement and Text Quality in L2 Digital Collaborative Writing — Mark Feng Teng, Lin Sophie Teng, et al. · International Journal of Applied Linguistics (2026) | TGRS Research Map | TGRS