Learner cognition and behavioral engagement in GenAI-mediated professional language education: a critical integrative review

Generative Artificial Intelligence (GenAI) is transforming professional language education, particularly in high-cognitive-load fields like translation and interpreting. A critical integrative review of 21 core studies reveals a significant gap in understanding the cognitive and behavioral mechanisms of learner engagement with GenAI-mediated tasks. Students in these domains must navigate evaluating AI outputs, regulating feedback, and maintaining accountability for meaning, highlighting the complex interaction between human learning and advanced AI tools.

The integration of GenAI into professional language education necessitates a deeper understanding of how learners cognitively and behaviorally interact with these tools. This is crucial for developing effective pedagogical strategies, optimizing training programs, and ensuring the continued development of human expertise alongside evolving technological capabilities in critical communication fields.

GenAI is rapidly changing professional language education.

Forward consideration, not a verified fact.