LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
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 feedbac...
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| Veröffentlicht in: | arXiv.org 2024-10 |
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| creator | Kim, Minsun Kim, SeonGyeom Lee, Suyoun Yoon, Yoosang Myung, Junho Yoo, Haneul Lim, Hyunseung Han, Jieun Kim, Yoonsu So-Yeon Ahn Kim, Juho Oh, Alice Hong, Hwajung Lee, Tak Yeon |
| description | 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. |
| format | Article |
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| identifier | EISSN: 2331-8422 |
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| issn | 2331-8422 |
| language | eng |
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| source | Free E- Journals |
| subjects | Chatbots Dashboards Education Foreign languages Human-computer interface Large language models Real time Teachers |
| title | LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education |
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