aceExploring GenAI affordance in EFL continuation task instruction for developing Chinese high school students’ writing complexity, accuracy and fluency
Abstract The role of generative artificial intelligence (GenAI) affordance in specific task teaching, particularly the continuation writing task, remains insufficiently theorized and empirically underexplored. To bridge this research gap, a repeated-measures intervention study was conducted within the framework of Dynamic Systems Theory (DST) to investigate the implementation of GenAI-assisted continuation task instruction and its associations with the development of English as a Foreign Language (EFL) students’…
Chinese high school EFL students showed a significant time effect and three-phase trajectory in writing complexity, accuracy and fluency during GenAI-assisted continuation task instruction.
Findings are bounded to a small sample of 25 Chinese high school EFL learners over a 9-week period with five tasks, limiting generalizability beyond this context and duration.
Evidence
- Peer-reviewedDiscover Computing2026-06-23
- Peer-reviewedFrontiers in Psychology2026-09-17
How should this claim be treated?
Truvace Impact Record TRV-2026-0159, v2: “Exploring GenAI affordance in EFL continuation task instruction for developing Chinese high school students’ writing complexity, accuracy and fluency.” Truvace, 2026-09-26. /record/TRV-2026-0159 (accessed at citation time). sha256 35bd792c07dafe0d…
Calibration history
Every change to this record since certification, in the open.
Source set updated
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0159 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.