Combining machine translation and automated scoring in international large-scale assessments
Article Status
Published
Authors/contributors
- Jung, Ji Yoon (Author)
- Tyack, Lillian (Author)
- Von Davier, Matthias (Author)
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
Volume
12
Issue
1
Pages
10
Date
2024-4-8
Journal Abbr
Large-scale Assess Educ
Language
en
ISSN
2196-0739
Accessed
13/05/2024, 16:26
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: jung2024a
<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.
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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