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Artificial Intelligence and Universal Design for Learning: Transforming Teaching and Learning in Adult and Continuing Higher Education

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Title: Artificial Intelligence and Universal Design for Learning: Transforming Teaching and Learning in Adult and Continuing Higher Education
Language: English
Authors: Kevin J. Mallary (ORCID 0000-0001-6312-0497), Eric J. Moore (ORCID 0000-0002-1943-0954), Adam L. McClain (ORCID 0009-0002-7388-4292)
Source: New Directions for Adult and Continuing Education. 2025 (188):39-47.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 9
Publication Date: 2025
Document Type: Journal Articles
Reports - Evaluative
Education Level: Adult Education
Higher Education
Postsecondary Education
Descriptors: Adult Education, Continuing Education, Higher Education, Access to Education, Artificial Intelligence, Computer Uses in Education, Communities of Practice
DOI: 10.1002/ace.70016
ISSN: 1052-2891
1536-0717
Abstract: This article explores the transformative potential of integrating Universal Design for Learning (UDL) with generative artificial intelligence (GenAI) in adult and continuing higher education. By aligning UDL's principles with GenAI's capabilities in content generation, personalization, and accessibility, adult educators can design uniquely flexible, inclusive, and rigorous learning experiences. We examine practical applications such as AI-generated rubrics, adaptive feedback, and multilingual support, while highlighting concerns around academic integrity, algorithmic bias, and data privacy. The article also addresses the role of professional learning communities (PLCs) in supporting implementation and innovation. Drawing on current scholarship, we argue that UDL offers a strategic framework for the ethical and effective integration of GenAI in adult learning contexts.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1493403
Database: ERIC
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  Data: <searchLink fieldCode="AR" term="%22Kevin+J%2E+Mallary%22">Kevin J. Mallary</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6312-0497">0000-0001-6312-0497</externalLink>)<br /><searchLink fieldCode="AR" term="%22Eric+J%2E+Moore%22">Eric J. Moore</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-1943-0954">0000-0002-1943-0954</externalLink>)<br /><searchLink fieldCode="AR" term="%22Adam+L%2E+McClain%22">Adam L. McClain</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0002-7388-4292">0009-0002-7388-4292</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22New+Directions+for+Adult+and+Continuing+Education%22"><i>New Directions for Adult and Continuing Education</i></searchLink>. 2025 (188):39-47.
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: 10.1002/ace.70016
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  Data: This article explores the transformative potential of integrating Universal Design for Learning (UDL) with generative artificial intelligence (GenAI) in adult and continuing higher education. By aligning UDL's principles with GenAI's capabilities in content generation, personalization, and accessibility, adult educators can design uniquely flexible, inclusive, and rigorous learning experiences. We examine practical applications such as AI-generated rubrics, adaptive feedback, and multilingual support, while highlighting concerns around academic integrity, algorithmic bias, and data privacy. The article also addresses the role of professional learning communities (PLCs) in supporting implementation and innovation. Drawing on current scholarship, we argue that UDL offers a strategic framework for the ethical and effective integration of GenAI in adult learning contexts.
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      – SubjectFull: Adult Education
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      – SubjectFull: Continuing Education
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      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Access to Education
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      – SubjectFull: Artificial Intelligence
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