LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education
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arXiv
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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916445968924672 |
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| author | Kim, Minsun Kim, SeonGyeom Lee, Suyoun Yoon, Yoosang Myung, Junho Yoo, Haneul Lim, Hyunseung Han, Jieun Kim, Yoonsu Ahn, So-Yeon Kim, Juho Oh, Alice Hong, Hwajung Lee, Tak Yeon |
| author_facet | Kim, Minsun Kim, SeonGyeom Lee, Suyoun Yoon, Yoosang Myung, Junho Yoo, Haneul Lim, Hyunseung Han, Jieun Kim, Yoonsu Ahn, So-Yeon Kim, Juho Oh, Alice Hong, Hwajung Lee, Tak Yeon |
| contents | 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 | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_15025 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education Kim, Minsun Kim, SeonGyeom Lee, Suyoun Yoon, Yoosang Myung, Junho Yoo, Haneul Lim, Hyunseung Han, Jieun Kim, Yoonsu Ahn, So-Yeon Kim, Juho Oh, Alice Hong, Hwajung Lee, Tak Yeon Human-Computer Interaction Artificial Intelligence 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. |
| title | LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2410.15025 |