Assessing Student Writing Assignments with Large Language Models

This is a poster presented at the 6th Shaw-IAU Workshop on Astronomy for Education, organised by the IAU Office of Astronomy for Education (OAE, http//astro4edu.org). Title: Assessing Student Writing Assignments with Large Language Models Presenter:Wenger, Matthew (The University of Arizona) Writing assignments are useful for promoting and assessing student learning. It is difficult to implement student writing in large classes, and nearly impossible to provide iterative feedback. For large online classes, such as Massive Open Online Classes (MOOCs), the only solution has been to use peer graders. Unfortunately peer grading can be unreliable and peer graders do not always leave useful feedback. We used Large Language Models (LLMs) to test whether LLM's can accurately grade student writing assignments and provide feedback. Our results show that LLMs can provide accurate feedback similar to instructors. We also found that the grades assigned by LLMs were consistent with instructor scores, and more accurate than peer graders. Collaborators: Impey, Chris (The University of Arizona) Golchin, Shahriar (The University of Arizona) Garuda, Nikhil (The University of Arizona) Buxner, Sanlyn (The University of Arizona) Stamer, Sarah (University of New Mexico, University of New Mexico, University of New Mexico) About the 6th Shaw-IAU Workshop:The 6th Shaw-IAU Workshop took place:12 - 15 November 2024. The Shaw-IAU workshops focus on astronomy education for primary and secondary school students and teacher training both in universities and in service. This year's workshop featured two special topics: an exploration of the first two years of the James Webb Space Telescope for the scientific topic, and the crucial aspect of evaluation in educational contexts as the non-scientific topic.More details can be found on: https://astro4edu.org/shaw-iau/Keep up to date with future Shaw-IAU Workshops and other opportunities at the IAU Office of Astronomy for Education by joining our mailing list https://astro4edu.org/mailing-list/Follow the IAU OAE on Bluesky and Facebook under @astro4edu

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-22
DOI
https://doi.org/10.5281/zenodo.14542099
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Student Writing Assignments with Large Language Models

Zenodo (CERN European Organization for Nuclear Research)
Pain Mechanisms and Treatments
article

Assessing Student Writing Assignments with Large Language Models

article en

Abstract

This is a poster presented at the 6th Shaw-IAU Workshop on Astronomy for Education, organised by the IAU Office of Astronomy for Education (OAE, http//astro4edu.org). Title: Assessing Student Writing Assignments with Large Language Models Presenter:Wenger, Matthew (The University of Arizona) Writing assignments are useful for promoting and assessing student learning. It is difficult to implement student writing in large classes, and nearly impossible to provide iterative feedback. For large online classes, such as Massive Open Online Classes (MOOCs), the only solution has been to use peer graders. Unfortunately peer grading can be unreliable and peer graders do not always leave useful feedback. We used Large Language Models (LLMs) to test whether LLM's can accurately grade student writing assignments and provide feedback. Our results show that LLMs can provide accurate feedback similar to instructors. We also found that the grades assigned by LLMs were consistent with instructor scores, and more accurate than peer graders. Collaborators: Impey, Chris (The University of Arizona) Golchin, Shahriar (The University of Arizona) Garuda, Nikhil (The University of Arizona) Buxner, Sanlyn (The University of Arizona) Stamer, Sarah (University of New Mexico, University of New Mexico, University of New Mexico) About the 6th Shaw-IAU Workshop:The 6th Shaw-IAU Workshop took place:12 - 15 November 2024. The Shaw-IAU workshops focus on astronomy education for primary and secondary school students and teacher training both in universities and in service. This year's workshop featured two special topics: an exploration of the first two years of the James Webb Space Telescope for the scientific topic, and the crucial aspect of evaluation in educational contexts as the non-scientific topic.More details can be found on: https://astro4edu.org/shaw-iau/Keep up to date with future Shaw-IAU Workshops and other opportunities at the IAU Office of Astronomy for Education by joining our mailing list https://astro4edu.org/mailing-list/Follow the IAU OAE on Bluesky and Facebook under @astro4edu

Zenodo (CERN European Organization for Nuclear Research)
University of Arizona (US)
Quality Education
Openalex Percentile: Top 55%
Pain Mechanisms and Treatments
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Assessing Student Writing Assignments with Large Language Models · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS