From the 1 of 5 linked papers with an AI index.
5 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
The paper studies how Japanese learners of English use an LLM-powered writing chatbot, analyzing interaction patterns with transition network analysis to reveal distinct revision a…
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…
How Good is ChatGPT in Giving Adaptive Guidance Using Knowledge Graphs in E-Learning Environments?
Patrick Ocheja, Brendan Flanagan, Yiling Dai +1
E-learning environments are increasingly harnessing large language models (LLMs) like GPT-3.5 and GPT-4 for tailored educational support. This study introduces an approach that int…