TLDRocket
Sign in

Language Learning

2 summarised stories about Language Learning, each linking back to the original source. Browse all topics →

Friday, 17 July 2026

Penny: Transition Network Analysis of Learner-Chatbot Interactions in Scaffolded EFL Writing

arXiv cs.CL 6 hours ago

Researchers analyzed over 4,500 writing sessions with Penny, an LLM-powered chatbot designed to provide feedback on English writing by Japanese EFL learners. The study found that learners follow two main interaction patterns: a Revision Loop where feedback leads to error correction, and a Chat Loop involving sustained dialogue, with high-proficiency learners engaging in more open negotiation while low-proficiency learners rely more on repetitive corrections. The results suggest chatbot design should be differentiated by proficiency level to promote deeper cognitive engagement rather than focusing solely on error correction.