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.
@article{arxiv.2410.15025,
title = {LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education},
author = {Minsun Kim and SeonGyeom Kim and Suyoun Lee and Yoosang Yoon and Junho Myung and Haneul Yoo and Hyunseung Lim and Jieun Han and Yoonsu Kim and So-Yeon Ahn and Juho Kim and Alice Oh and Hwajung Hong and Tak Yeon Lee},
journal= {arXiv preprint arXiv:2410.15025},
year = {2024}
}
Comments
EMNLP 2024 Workshop CustomNLP4U. arXiv admin note: text overlap with arXiv:2405.19691