aceShifting cognitive structures in human-AI collaborative learning design
This study examines collaborative learning design with a generative artificial intelligence (GenAI) co-pilot among in-service university English teachers in China. In a between-subjects experiment ( N = 60), epistemic network analysis (ENA) was used to model the situated discourse structures of team dialogues, complemented by thematic analysis of interviews. AI-supported teams achieved higher overall scores on a rubric covering constructive alignment, Universal Design for Learning principles, and other aspects o…
Teacher teams working with a GenAI co-pilot scored higher on a learning-design rubric and showed more interconnected, learner-centered discussion than teams without it.
The authors frame their conclusions cautiously, saying GenAI 'may' support reflection and reasoning, and the sample is limited to 60 university English teachers in China.
Evidence
- Peer-reviewedTeaching and Teacher Education2026-10-15
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Truvace Impact Record TRV-2026-1641, v1: “Shifting cognitive structures in human-AI collaborative learning design.” Truvace, 2026-10-17. /record/TRV-2026-1641 (accessed at citation time). sha256 691a3599fdcb2cec…
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