Collaborative learning in interpreting: A collaborative cognitive load theory approach

Abstract The article explores collaborative learning (CL) in interpreting through the lens of collaborative cognitive load theory (CCLT), extending the application of cognitive load theory (CLT) from individual to collaborative contexts in interpreter training. Key concepts, including distribution advantage and transaction activities contributing to the collective working memory effect, are examined and linked to different stages of CL in interpreting. Anchored in CCLT, CL in interpreting is conceptualised as an interactive learning activity shaped by the interplay of antecedents, processes, and consequences. This study identifies critical antecedent characteristics across four dimensions: task, trainee, group, and technology. It further delineates the processes of CL in interpreting into different facets and introduces potential measures to assess trainees' cognitive load during the process, such as physiological and behavioural indicators. Promising techniques, including mobile eye-tracking, are highlighted for their advantages of providing real-time data in natural settings. Lastly, the consequences of CL are discussed at both individual and group levels, with a focus on its impact on performance, motivation, and efficacy. The study concludes by outlining key directions for future research.

Authors

Institutions

Publication Details

Journal
Across Languages and Cultures
Published
2025-12-17
DOI
https://doi.org/10.1556/084.2025.01063
Primary Topic
Interpreting and Communication in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Collaborative learning in interpreting: A collaborative cognitive load theory approach

Heidi Salaets, Rui Du
Across Languages and Cultures
Interpreting and Communication in Healthcare
article

Collaborative learning in interpreting: A collaborative cognitive load theory approach

Heidi Salaets, Rui Du
article en

Abstract

Abstract The article explores collaborative learning (CL) in interpreting through the lens of collaborative cognitive load theory (CCLT), extending the application of cognitive load theory (CLT) from individual to collaborative contexts in interpreter training. Key concepts, including distribution advantage and transaction activities contributing to the collective working memory effect, are examined and linked to different stages of CL in interpreting. Anchored in CCLT, CL in interpreting is conceptualised as an interactive learning activity shaped by the interplay of antecedents, processes, and consequences. This study identifies critical antecedent characteristics across four dimensions: task, trainee, group, and technology. It further delineates the processes of CL in interpreting into different facets and introduces potential measures to assess trainees' cognitive load during the process, such as physiological and behavioural indicators. Promising techniques, including mobile eye-tracking, are highlighted for their advantages of providing real-time data in natural settings. Lastly, the consequences of CL are discussed at both individual and group levels, with a focus on its impact on performance, motivation, and efficacy. The study concludes by outlining key directions for future research.

Across Languages and Cultures
KU Leuven (BE)
Openalex Percentile: Top 43%
Interpreting and Communication in Healthcare
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.

Collaborative learning in interpreting: A collaborative cognitive load theory approach — Heidi Salaets, Rui Du · Across Languages and Cultures (2025) | TGRS Research Map | TGRS