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An Agentic AI-Enhanced Curriculum Framework for Rare Earth Elements from K-12 to Veteran Training for Educators and Policy Makers

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Title: An Agentic AI-Enhanced Curriculum Framework for Rare Earth Elements from K-12 to Veteran Training for Educators and Policy Makers
Language: English
Authors: Satyadhar Joshi (ORCID 0009-0002-6011-5080)
Source: Online Submission. 2025.
Peer Reviewed: N
Page Count: 16
Publication Date: 2025
Document Type: Reports - Evaluative
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Curriculum Development, College Science, Technology Integration, Earth Science, Individualized Instruction, Computer Simulation, Mineralogy, STEM Careers, Sustainability, Ethics, National Security, Career Pathways, Labor Force Development, Economic Impact
Abstract: This paper presents a comprehensive framework for AI-enhanced curriculum development in rare earth elements (REE) education, addressing critical workforce gaps across K-12, higher education, and veteran transition programs. As global demand for critical minerals escalates amid geopolitical tensions and supply chain vulnerabilities, we propose an integrated educational approach that bridges artificial intelligence with traditional geosciences. Our research analyzes current initiatives, identifies curriculum gaps, and develops scalable AI-enhanced learning models that combine theoretical knowledge with practical applications. The framework encompasses personalized learning systems, virtual reality simulations, and adaptive assessment tools to prepare diverse learner populations for careers in the critical minerals sector. We introduce multiple architectures including an integrated AI platform for the REE value chain, multi-agent systems for mineral exploration, circular economy models for sustainability, and supply chain resilience frameworks. Quantitative analysis demonstrates significant improvements in exploration efficiency, materials discovery timelines, and educational outcomes through AI implementation. The paper also addresses implementation challenges, ethical considerations, and provides strategic recommendations for policy support and investment. This educational framework supports national security objectives while creating sustainable career pathways in an increasingly vital industry, ultimately contributing to domestic workforce development and supply chain resilience in the critical minerals sector.
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED676389
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED676389
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  Data: An Agentic AI-Enhanced Curriculum Framework for Rare Earth Elements from K-12 to Veteran Training for Educators and Policy Makers
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  Data: <searchLink fieldCode="AR" term="%22Satyadhar+Joshi%22">Satyadhar Joshi</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0002-6011-5080">0009-0002-6011-5080</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Online+Submission%22"><i>Online Submission</i></searchLink>. 2025.
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  Data: N
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  Data: 16
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Curriculum+Development%22">Curriculum Development</searchLink><br /><searchLink fieldCode="DE" term="%22College+Science%22">College Science</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Earth+Science%22">Earth Science</searchLink><br /><searchLink fieldCode="DE" term="%22Individualized+Instruction%22">Individualized Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Simulation%22">Computer Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Mineralogy%22">Mineralogy</searchLink><br /><searchLink fieldCode="DE" term="%22STEM+Careers%22">STEM Careers</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22National+Security%22">National Security</searchLink><br /><searchLink fieldCode="DE" term="%22Career+Pathways%22">Career Pathways</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+Force+Development%22">Labor Force Development</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+Impact%22">Economic Impact</searchLink>
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  Label: Abstract
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  Data: This paper presents a comprehensive framework for AI-enhanced curriculum development in rare earth elements (REE) education, addressing critical workforce gaps across K-12, higher education, and veteran transition programs. As global demand for critical minerals escalates amid geopolitical tensions and supply chain vulnerabilities, we propose an integrated educational approach that bridges artificial intelligence with traditional geosciences. Our research analyzes current initiatives, identifies curriculum gaps, and develops scalable AI-enhanced learning models that combine theoretical knowledge with practical applications. The framework encompasses personalized learning systems, virtual reality simulations, and adaptive assessment tools to prepare diverse learner populations for careers in the critical minerals sector. We introduce multiple architectures including an integrated AI platform for the REE value chain, multi-agent systems for mineral exploration, circular economy models for sustainability, and supply chain resilience frameworks. Quantitative analysis demonstrates significant improvements in exploration efficiency, materials discovery timelines, and educational outcomes through AI implementation. The paper also addresses implementation challenges, ethical considerations, and provides strategic recommendations for policy support and investment. This educational framework supports national security objectives while creating sustainable career pathways in an increasingly vital industry, ultimately contributing to domestic workforce development and supply chain resilience in the critical minerals sector.
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  Data: As Provided
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  Data: 2025
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  Data: ED676389
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED676389
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      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Curriculum Development
        Type: general
      – SubjectFull: College Science
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Earth Science
        Type: general
      – SubjectFull: Individualized Instruction
        Type: general
      – SubjectFull: Computer Simulation
        Type: general
      – SubjectFull: Mineralogy
        Type: general
      – SubjectFull: STEM Careers
        Type: general
      – SubjectFull: Sustainability
        Type: general
      – SubjectFull: Ethics
        Type: general
      – SubjectFull: National Security
        Type: general
      – SubjectFull: Career Pathways
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      – SubjectFull: Labor Force Development
        Type: general
      – SubjectFull: Economic Impact
        Type: general
    Titles:
      – TitleFull: An Agentic AI-Enhanced Curriculum Framework for Rare Earth Elements from K-12 to Veteran Training for Educators and Policy Makers
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            NameFull: Satyadhar Joshi
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            – D: 01
              M: 10
              Type: published
              Y: 2025
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            – TitleFull: Online Submission
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