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Artificial Intelligence in U.S. Education: A Framework for Equitable Teaching, Learning, and Assessment

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Title: Artificial Intelligence in U.S. Education: A Framework for Equitable Teaching, Learning, and Assessment
Language: English
Authors: Marley Belot (ORCID 0009-0007-2816-8824)
Source: Online Submission. 2025.
Peer Reviewed: N
Page Count: 9
Publication Date: 2025
Document Type: Reports - Descriptive
Education Level: Elementary Secondary Education
Higher Education
Postsecondary Education
Adult Education
Descriptors: Artificial Intelligence, Influence of Technology, Educational Trends, Technology Integration, Educational Change, Elementary Secondary Education, Higher Education, Workplace Learning, Adult Learning, Access to Education, Constructivism (Learning), Human Factors Engineering, Ethics, Educational Policy, Computer Uses in Education
Abstract: Artificial intelligence (AI) has appeared as a transformative force in education, influencing how instruction is designed, delivered, and assessed across the United States. This paper examines AI's growing role in improving educational outcomes through personalization, accessibility, and data-driven decision-making. Drawing upon research from the U.S. Department of Education, the Institute of Education Sciences, and peer-reviewed literature, this study integrates the principles of Universal Design for Learning (UDL) and Constructivist Learning Theory to present a human-centered framework for fair AI implementation. It discusses applications across K-12, higher education, and workforce learning, emphasizing teacher support, student engagement, and institutional accountability. Ethical and policy implications are analyzed to ensure that AI contributes to inclusive, transparent, and human-guided learning ecosystems. The paper concludes that when implemented responsibly, AI can advance the U.S. education system toward a more just, personalized, and sustainable future.
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED676683
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
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PubType: Report
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  Data: Artificial Intelligence in U.S. Education: A Framework for Equitable Teaching, Learning, and Assessment
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  Data: <searchLink fieldCode="AR" term="%22Marley+Belot%22">Marley Belot</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-2816-8824">0009-0007-2816-8824</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Online+Submission%22"><i>Online Submission</i></searchLink>. 2025.
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  Data: 9
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  Data: 2025
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  Data: <searchLink fieldCode="EL" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Adult+Education%22">Adult Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Influence+of+Technology%22">Influence of Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Trends%22">Educational Trends</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Change%22">Educational Change</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Workplace+Learning%22">Workplace Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Adult+Learning%22">Adult Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+Education%22">Access to Education</searchLink><br /><searchLink fieldCode="DE" term="%22Constructivism+%28Learning%29%22">Constructivism (Learning)</searchLink><br /><searchLink fieldCode="DE" term="%22Human+Factors+Engineering%22">Human Factors Engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Policy%22">Educational Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink>
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  Data: Artificial intelligence (AI) has appeared as a transformative force in education, influencing how instruction is designed, delivered, and assessed across the United States. This paper examines AI's growing role in improving educational outcomes through personalization, accessibility, and data-driven decision-making. Drawing upon research from the U.S. Department of Education, the Institute of Education Sciences, and peer-reviewed literature, this study integrates the principles of Universal Design for Learning (UDL) and Constructivist Learning Theory to present a human-centered framework for fair AI implementation. It discusses applications across K-12, higher education, and workforce learning, emphasizing teacher support, student engagement, and institutional accountability. Ethical and policy implications are analyzed to ensure that AI contributes to inclusive, transparent, and human-guided learning ecosystems. The paper concludes that when implemented responsibly, AI can advance the U.S. education system toward a more just, personalized, and sustainable future.
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      – Text: English
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      Pagination:
        PageCount: 9
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Influence of Technology
        Type: general
      – SubjectFull: Educational Trends
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Educational Change
        Type: general
      – SubjectFull: Elementary Secondary Education
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Workplace Learning
        Type: general
      – SubjectFull: Adult Learning
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      – SubjectFull: Access to Education
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      – SubjectFull: Constructivism (Learning)
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      – SubjectFull: Human Factors Engineering
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      – SubjectFull: Ethics
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      – SubjectFull: Educational Policy
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      – SubjectFull: Computer Uses in Education
        Type: general
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      – TitleFull: Artificial Intelligence in U.S. Education: A Framework for Equitable Teaching, Learning, and Assessment
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              Type: published
              Y: 2025
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            – TitleFull: Online Submission
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