LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
This work addresses the problem of teacher oversight in AI-integrated EFL writing education, though it is incremental as it applies existing methods to a specific domain.
The paper tackled the challenge of monitoring student interactions in EFL writing education by developing an LLM-driven dashboard for teachers, which helps identify noneducational use of ChatGPT and align teaching strategies, demonstrating enhanced effectiveness through a human-centered approach.
This paper presents the development of a dashboard designed specifically for teachers in English as a Foreign Language (EFL) writing education. Leveraging LLMs, the dashboard facilitates the analysis of student interactions with an essay writing system, which integrates ChatGPT for real-time feedback. The dashboard aids teachers in monitoring student behavior, identifying noneducational interaction with ChatGPT, and aligning instructional strategies with learning objectives. By combining insights from NLP and Human-Computer Interaction (HCI), this study demonstrates how a human-centered approach can enhance the effectiveness of teacher dashboards, particularly in ChatGPT-integrated learning.