4 papers
Accurate but Natural? Diagnosing Grammatical and Idiomatic Gaps in Japanese EFL Writing
Steve Woollaston, Brendan Flanagan, Hiroaki Ogata
Second language writing research distinguishes grammatical accuracy from native-like idiomaticity, yet automated writing evaluation often conflates these dimensions. This study int…
Penny: Transition Network Analysis of Learner-Chatbot Interactions in Scaffolded EFL Writing
Steve Woollaston, Brendan Flanagan, Yuko Toyokawa +1
Generative AI chatbots promise to transform English as a Foreign Language (EFL) writing by providing immediate, personalised feedback. However, their pedagogical value depends on h…
Agentic AI and Pedagogical Best Practice: The Tension Between Automation and Learning
Steve Woollaston, Brendan Flanagan, Isanka Wijerathne +1
Artificial intelligence in education is evolving from passive chatbots to proactive AI agents capable of initiation and goal-directed interactions. While offering opportunities for…
Question Type, Cognitive Load, and CEFR Alignment: Evaluating LLM-Generated EFL Grammar Drill Exercises
Steve Woollaston, Brendan Flanagan, Yuko Toyokawa +1
This study evaluates the pedagogical viability of LLM-generated English as a Foreign Language (EFL) learning content. Utilising log data from Japanese junior high school students p…