AI Insight
This controlled study with 22 Master of Translation and Interpreting students investigated whether personalized process visualization feedback improves news translation skills compared to conventional product-oriented feedback. The experimental group showed significant improvements in metacognitive engagement, shifting from surface-level corrections to deeper meaning-level revisions, and made more strategic use of external resources like search engines. A significant interaction effect between group and time suggests that visualizing one's own translation process, combined with structured reflection, enhances metacognitive awareness and strategic regulation in human-AI collaborative translation tasks.
Why it matters
These findings suggest that process-focused pedagogical approaches may be more effective than traditional product-focused feedback for developing translator competence in AI-assisted environments. The method could be applied to translator training programs to help students become more reflective and autonomous professionals in an increasingly AI-integrated translation industry.
Understand the Science
IntroductionThis study examines process visualization feedback in news translation.MethodsFramed within Krings’ three-dimensional model, a pretest-posttest control group design was employed with 24 MTI students. The final analytic sample comprised 22 participants (11 experimental, 11 control). The experimental group (n = 11) received personalized process visualizations and structured reflection; the control group (n = 11) received conventional product-oriented feedback. Translation scores were available for both groups at T1 and T2, and complete process data (Inputlog, screen recording) were available for the experimental group at both time points.ResultsWithin the experimental group, within-subject comparisons showed changes in all three dimensions: in the temporal dimension, increased pause time proportion indicated heightened metacognitive engagement (p = 0.011); in the technical dimension, the meaning-level revision ratio increased significantly from 18.1% to 28.4% (p = 0.002), indicating a shift from surface-level correction to deeper substantive refinement; in the cognitive dimension, participants made more strategic use of external sources, with significant increases in search engine queries (p = 0.02) and knowledge-based searches (p = 0.01). Rich-points analysis of problem-triggered pauses revealed a shift from linguistic toward textual and extralinguistic problems (p = 0.038, p = 0.015). A mixed-design ANOVA revealed a significant Group × Time interaction (p = 0.038, ηp2 = 0.198). Thematic analysis of reflective journals (n = 22) and interviews (n = 6) revealed two overarching themes: metacognitive awareness (54 references) of inefficient process patterns and competency gaps, and strategic regulation (60 references) in external source use and text-level restructuring.DiscussionThese findings suggest that process visualization feedback was associated with enhanced metacognitive awareness and strategic regulation, and may support learners in becoming more reflective, strategic, and autonomous in human-AI collaborative news translation.