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Policy Recommendations for New Jersey's Artificial Intelligence Leadership in K-12, Higher Education, and Workforce Development

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Title: Policy Recommendations for New Jersey's Artificial Intelligence Leadership in K-12, Higher Education, and Workforce Development
Language: English
Authors: Satyadhar Joshi (ORCID 0009-0002-6011-5080)
Source: Online Submission. 2026.
Peer Reviewed: N
Page Count: 19
Publication Date: 2026
Document Type: Reports - Evaluative
Education Level: Elementary Secondary Education
Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Elementary Secondary Education, Higher Education, Labor Force Development, Educational Policy, Governance, Adoption (Ideas), Ethics, Technology Integration, Incentives
Geographic Terms: New Jersey
Abstract: This paper presents a policy framework to position New Jersey as a national leader in artificial intelligence (AI) education and workforce development. Through analysis of current state initiatives--including the NJ AI Hub, AI Task Force reports, apprenticeship programs, and regulatory guidance--we identify gaps and opportunities across K-12, higher education, and workforce development sectors. We propose a multi-layered approach visualized through interconnected frameworks: an integrated AI education ecosystem, phased implementation roadmaps for K-12 AI literacy, a statewide AI curriculum consortium structure, multi-track workforce development pathways, and equity and access frameworks. Quantitative analysis reveals that while 20-25%+ of New Jersey's workforce already uses AI technology daily, only 20-25% of educators feel prepared for AI integration. Our policy recommendations address this gap through a $165 million annual investment strategy with projected 3.8x return on investment, creating pathways for 15,000-20,000 new AI jobs by 2030. Recommendations include more layered, interconnected and framework-styled methods for establishing AI literacy standards for all K-12 students, creating specialized AI high schools, expanding community college AI programs, developing industry-aligned university curricula, and implementing statewide AI teacher training. We also address equity and risk considerations, funding mechanisms, and suggested implementation timelines. This is a pure review paper and all findings are from suggested literature.
Abstractor: As Provided
Entry Date: 2026
Accession Number: ED678146
Database: ERIC
FullText Text:
  Availability: 0
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  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED678146
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  Data: Policy Recommendations for New Jersey's Artificial Intelligence Leadership in K-12, Higher Education, and Workforce Development
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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>. 2026.
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  Data: N
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  Data: 19
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  Data: 2026
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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>
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</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="%22Labor+Force+Development%22">Labor Force Development</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Policy%22">Educational Policy</searchLink><br /><searchLink fieldCode="DE" term="%22Governance%22">Governance</searchLink><br /><searchLink fieldCode="DE" term="%22Adoption+%28Ideas%29%22">Adoption (Ideas)</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Incentives%22">Incentives</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22New+Jersey%22">New Jersey</searchLink>
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  Label: Abstract
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  Data: This paper presents a policy framework to position New Jersey as a national leader in artificial intelligence (AI) education and workforce development. Through analysis of current state initiatives--including the NJ AI Hub, AI Task Force reports, apprenticeship programs, and regulatory guidance--we identify gaps and opportunities across K-12, higher education, and workforce development sectors. We propose a multi-layered approach visualized through interconnected frameworks: an integrated AI education ecosystem, phased implementation roadmaps for K-12 AI literacy, a statewide AI curriculum consortium structure, multi-track workforce development pathways, and equity and access frameworks. Quantitative analysis reveals that while 20-25%+ of New Jersey's workforce already uses AI technology daily, only 20-25% of educators feel prepared for AI integration. Our policy recommendations address this gap through a $165 million annual investment strategy with projected 3.8x return on investment, creating pathways for 15,000-20,000 new AI jobs by 2030. Recommendations include more layered, interconnected and framework-styled methods for establishing AI literacy standards for all K-12 students, creating specialized AI high schools, expanding community college AI programs, developing industry-aligned university curricula, and implementing statewide AI teacher training. We also address equity and risk considerations, funding mechanisms, and suggested implementation timelines. This is a pure review paper and all findings are from suggested literature.
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Elementary Secondary Education
        Type: general
      – SubjectFull: Higher Education
        Type: general
      – SubjectFull: Labor Force Development
        Type: general
      – SubjectFull: Educational Policy
        Type: general
      – SubjectFull: Governance
        Type: general
      – SubjectFull: Adoption (Ideas)
        Type: general
      – SubjectFull: Ethics
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Incentives
        Type: general
      – SubjectFull: New Jersey
        Type: general
    Titles:
      – TitleFull: Policy Recommendations for New Jersey's Artificial Intelligence Leadership in K-12, Higher Education, and Workforce Development
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            NameFull: Satyadhar Joshi
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            – D: 19
              M: 01
              Type: published
              Y: 2026
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            – TitleFull: Online Submission
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