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AI-Powered Innovations in Mathematics Teaching & Learning: Initial Findings

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Title: AI-Powered Innovations in Mathematics Teaching & Learning: Initial Findings
Language: English
Authors: Sierra Noakes, Alison Shell, Parker Van Nostrand, Alexis M. Murillo, Pati Ruiz, Babe Liberman, Digital Promise
Source: Digital Promise. 2024.
Availability: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
Peer Reviewed: N
Page Count: 32
Publication Date: 2024
Sponsoring Agency: Bill and Melinda Gates Foundation
Document Type: Reports - Research
Tests/Questionnaires
Education Level: Elementary Secondary Education
Postsecondary Education
Descriptors: Artificial Intelligence, Educational Innovation, Mathematics Instruction, Technology Uses in Education, Mathematics Teachers, Risk, Role, Elementary Secondary Education, Postsecondary Education, Foreign Countries
Geographic Terms: United States, Asia, Africa, Australia, Europe, North America, South America
Abstract: This report discusses findings based on responses to a request for information (RFI) led by the Bill & Melinda Gates Foundation and Digital Promise, which received nearly 200 responses that described a variety of innovative approaches to leveraging artificial intelligence (AI) for mathematics teaching and learning. As AI becomes increasingly prevalent in education, three key questions often drive conversations around this emerging technology: What does AI in education look like today; what are the risks to leveraging AI in education and how might those risks be mitigated; and, what should AI's role be in education? The report shares findings to support both education leaders with decisions about AI as well as providers in learning more about market saturation and strategies to mitigate risks.
Abstractor: As Provided
Entry Date: 2025
Accession Number: ED671278
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED671278
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PubType: Report
PubTypeId: report
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  Data: AI-Powered Innovations in Mathematics Teaching & Learning: Initial Findings
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  Data: <searchLink fieldCode="AR" term="%22Sierra+Noakes%22">Sierra Noakes</searchLink><br /><searchLink fieldCode="AR" term="%22Alison+Shell%22">Alison Shell</searchLink><br /><searchLink fieldCode="AR" term="%22Parker+Van+Nostrand%22">Parker Van Nostrand</searchLink><br /><searchLink fieldCode="AR" term="%22Alexis+M%2E+Murillo%22">Alexis M. Murillo</searchLink><br /><searchLink fieldCode="AR" term="%22Pati+Ruiz%22">Pati Ruiz</searchLink><br /><searchLink fieldCode="AR" term="%22Babe+Liberman%22">Babe Liberman</searchLink><br /><searchLink fieldCode="AR" term="%22Digital+Promise%22">Digital Promise</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Digital+Promise%22"><i>Digital Promise</i></searchLink>. 2024.
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  Label: Availability
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  Data: Digital Promise. 1001 Connecticut Avenue NW Suite 935, Washington DC 20036. Tel: 202-450-3675; e-mail: contact@digitalpromise.org; Web site: https://digitalpromise.org/
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  Data: N
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  Label: Page Count
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  Data: 32
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  Label: Publication Date
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  Data: 2024
– Name: SourceSuprt
  Label: Sponsoring Agency
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  Data: Bill and Melinda Gates Foundation
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  Data: Reports - Research<br />Tests/Questionnaires
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  Data: <searchLink fieldCode="EL" term="%22Elementary+Secondary+Education%22">Elementary Secondary 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="%22Educational+Innovation%22">Educational Innovation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Instruction%22">Mathematics Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+Teachers%22">Mathematics Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Risk%22">Risk</searchLink><br /><searchLink fieldCode="DE" term="%22Role%22">Role</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink><br /><searchLink fieldCode="DE" term="%22Asia%22">Asia</searchLink><br /><searchLink fieldCode="DE" term="%22Africa%22">Africa</searchLink><br /><searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink><br /><searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink><br /><searchLink fieldCode="DE" term="%22North+America%22">North America</searchLink><br /><searchLink fieldCode="DE" term="%22South+America%22">South America</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This report discusses findings based on responses to a request for information (RFI) led by the Bill & Melinda Gates Foundation and Digital Promise, which received nearly 200 responses that described a variety of innovative approaches to leveraging artificial intelligence (AI) for mathematics teaching and learning. As AI becomes increasingly prevalent in education, three key questions often drive conversations around this emerging technology: What does AI in education look like today; what are the risks to leveraging AI in education and how might those risks be mitigated; and, what should AI's role be in education? The report shares findings to support both education leaders with decisions about AI as well as providers in learning more about market saturation and strategies to mitigate risks.
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  Data: As Provided
– Name: DateEntry
  Label: Entry Date
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  Data: 2025
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED671278
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED671278
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 32
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Educational Innovation
        Type: general
      – SubjectFull: Mathematics Instruction
        Type: general
      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Mathematics Teachers
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      – SubjectFull: Foreign Countries
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      – SubjectFull: United States
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      – SubjectFull: Asia
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      – TitleFull: AI-Powered Innovations in Mathematics Teaching & Learning: Initial Findings
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              Type: published
              Y: 2024
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