Combining machine translation and automated scoring in international large-scale assessments

Article Status
Published
Authors/contributors
Title
Combining machine translation and automated scoring in international large-scale assessments
Abstract
Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education. Despite these advancements, AI-powered automated scoring in international large-scale assessments (ILSAs) remains largely unexplored due to the scoring challenges associated with processing large amounts of multilingual responses. However, due to their low-stakes nature, ILSAs are an ideal ground for innovations and exploring new methodologies.
Publication
Large-scale Assessments in Education
Date
2024-4-8
Volume
12
Issue
1
Pages
10
Journal Abbr
Large-scale Assessments in Education
Citation Key
jung2024
Accessed
22/04/2024, 22:17
ISSN
2196-0739
Language
en
Library Catalogue
BioMed Central
Extra
<标题>: 在国际大规模评估中结合机器翻译与自动评分 <AI Smry>: This study highlights that automated scoring integrated with the recent machine translation holds great promise for consistent and resource-efficient scoring in ILSAs and shows comparable performance to human scoring. Read_Status: New Read_Status_Date: 2026-01-26T11:33:38.512Z
Citation
Jung, J. Y., Tyack, L., & von Davier, M. (2024). Combining machine translation and automated scoring in international large-scale assessments. Large-Scale Assessments in Education, 12(1), 10. https://doi.org/10.1186/s40536-024-00199-7
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