Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and Challenges

Emerging developments in artificial intelligence present significant opportunities to enhance equity and access to science and mathematics assessment content for students with disabilities. Artificial intelligence (AI) technologies may have the potential to support test developers in creating more i...

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Main Authors: Amy K. Clark, Ashley Hirt, David Whitcomb, W. Jake Thompson, Marjorie Wine, Meagan Karvonen
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Education Sciences
Subjects:
Online Access:https://www.mdpi.com/2227-7102/15/2/233
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author Amy K. Clark
Ashley Hirt
David Whitcomb
W. Jake Thompson
Marjorie Wine
Meagan Karvonen
author_facet Amy K. Clark
Ashley Hirt
David Whitcomb
W. Jake Thompson
Marjorie Wine
Meagan Karvonen
author_sort Amy K. Clark
collection DOAJ
description Emerging developments in artificial intelligence present significant opportunities to enhance equity and access to science and mathematics assessment content for students with disabilities. Artificial intelligence (AI) technologies may have the potential to support test developers in creating more inclusive assessments that better measure what students know and can do. But they must also consider the potential accessibility challenges or introduction of construct-irrelevant variance posed by these technologies. The purpose of this article is to provide a conceptual overview of the issues to be considered when creating and implementing large-scale science and mathematics assessments for students with disabilities. We discuss how AI has been utilized in large-scale assessments to date and describe the opportunities and potential pitfalls in the stages of the process: assessment design, development, administration, scoring, reporting, and data use. This article concludes with proposed priorities for research that will advance the responsible practice of AI in large-scale assessment that is inclusive, fair, and valid for students with disabilities. This article contributes to the growing body of information on AI applications for assessment by identifying the roles that AI can play in science and mathematics assessment practices and demonstrating how AI can inform approaches to equitable science, technology, engineering, and mathematics (STEM) learning.
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spelling doaj-art-3634a3b7cfa24c2d857a4119dcd1fa062025-08-20T02:44:59ZengMDPI AGEducation Sciences2227-71022025-02-0115223310.3390/educsci15020233Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and ChallengesAmy K. Clark0Ashley Hirt1David Whitcomb2W. Jake Thompson3Marjorie Wine4Meagan Karvonen5Accessible Teaching, Learning, and Assessment Systems, University of Kansas, 1122 West Campus Road, Lawrence, KS 66045, USAAccessible Teaching, Learning, and Assessment Systems, University of Kansas, 1122 West Campus Road, Lawrence, KS 66045, USAAccessible Teaching, Learning, and Assessment Systems, University of Kansas, 1122 West Campus Road, Lawrence, KS 66045, USAAccessible Teaching, Learning, and Assessment Systems, University of Kansas, 1122 West Campus Road, Lawrence, KS 66045, USAAccessible Teaching, Learning, and Assessment Systems, University of Kansas, 1122 West Campus Road, Lawrence, KS 66045, USAAccessible Teaching, Learning, and Assessment Systems, University of Kansas, 1122 West Campus Road, Lawrence, KS 66045, USAEmerging developments in artificial intelligence present significant opportunities to enhance equity and access to science and mathematics assessment content for students with disabilities. Artificial intelligence (AI) technologies may have the potential to support test developers in creating more inclusive assessments that better measure what students know and can do. But they must also consider the potential accessibility challenges or introduction of construct-irrelevant variance posed by these technologies. The purpose of this article is to provide a conceptual overview of the issues to be considered when creating and implementing large-scale science and mathematics assessments for students with disabilities. We discuss how AI has been utilized in large-scale assessments to date and describe the opportunities and potential pitfalls in the stages of the process: assessment design, development, administration, scoring, reporting, and data use. This article concludes with proposed priorities for research that will advance the responsible practice of AI in large-scale assessment that is inclusive, fair, and valid for students with disabilities. This article contributes to the growing body of information on AI applications for assessment by identifying the roles that AI can play in science and mathematics assessment practices and demonstrating how AI can inform approaches to equitable science, technology, engineering, and mathematics (STEM) learning.https://www.mdpi.com/2227-7102/15/2/233artificial intelligencescience assessmentmathematics assessmentSTEM assessmentlarge-scale assessmentstudents with disabilities
spellingShingle Amy K. Clark
Ashley Hirt
David Whitcomb
W. Jake Thompson
Marjorie Wine
Meagan Karvonen
Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and Challenges
Education Sciences
artificial intelligence
science assessment
mathematics assessment
STEM assessment
large-scale assessment
students with disabilities
title Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and Challenges
title_full Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and Challenges
title_fullStr Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and Challenges
title_full_unstemmed Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and Challenges
title_short Artificial Intelligence in Science and Mathematics Assessment for Students with Disabilities: Opportunities and Challenges
title_sort artificial intelligence in science and mathematics assessment for students with disabilities opportunities and challenges
topic artificial intelligence
science assessment
mathematics assessment
STEM assessment
large-scale assessment
students with disabilities
url https://www.mdpi.com/2227-7102/15/2/233
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