Co-Adaptation in Human–Machine Interaction: What We Learned and Where To Go Next Conclusion to the Forum

Abstract

This forum set out to explore the question: How does co-adaptation unfold in an ecosystem of learner–ChatGPT dyadic interaction? Working with one graduate-level EFL learner from a seven-week interactional dataset from RECIPE4U, the three contributions approached this question from complementary perspectives: communicative naturalness and stylistic synchrony; formal and topical alignment; and cognitive-psychological trajectories indexed by LIWC and grounded in interactional moves.