Privacy Enhancing Technologies in Digital Learning Platforms

Saved in:
Bibliographic Details
Title: Privacy Enhancing Technologies in Digital Learning Platforms
Language: English
Authors: Vincent Dorie, Digital Promise, Empirical Education Inc., Institute of Education Sciences (ED)
Source: Digital Promise. 2025.
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: 10
Publication Date: 2025
Document Type: Reports - Descriptive
Descriptors: Educational Technology, Technology Uses in Education, Privacy, Information Security, Student Records, Access to Information, Information Management
Abstract: Privacy Enhancing Technologies (PETs) protect sensitive data while attempting to preserve its utility. They are not just technical tools (like encryption, differential privacy, and synthetic data) but also social technologies that help institutions govern data responsibly and maintain trust. For Digital Learning Platforms (DLPs), PETs should be treated as core research infrastructure. They allow valuable analyses such as securely linking education and workforce records or comparing outcomes across sites, while meeting the ethical obligation to protect students, many of whom are minors.
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2026
Accession Number: ED678875
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED678875
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: ED678875
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Privacy Enhancing Technologies in Digital Learning Platforms
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Vincent+Dorie%22">Vincent Dorie</searchLink><br /><searchLink fieldCode="AR" term="%22Digital+Promise%22">Digital Promise</searchLink><br /><searchLink fieldCode="AR" term="%22Empirical+Education+Inc%2E%22">Empirical Education Inc.</searchLink><br /><searchLink fieldCode="AR" term="%22Institute+of+Education+Sciences+%28ED%29%22">Institute of Education Sciences (ED)</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Digital+Promise%22"><i>Digital Promise</i></searchLink>. 2025.
– Name: Avail
  Label: Availability
  Group: Avail
  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/
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 10
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2025
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Reports - Descriptive
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Security%22">Information Security</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Records%22">Student Records</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+Information%22">Access to Information</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Management%22">Information Management</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Privacy Enhancing Technologies (PETs) protect sensitive data while attempting to preserve its utility. They are not just technical tools (like encryption, differential privacy, and synthetic data) but also social technologies that help institutions govern data responsibly and maintain trust. For Digital Learning Platforms (DLPs), PETs should be treated as core research infrastructure. They allow valuable analyses such as securely linking education and workforce records or comparing outcomes across sites, while meeting the ethical obligation to protect students, many of whom are minors.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: CodeSource
  Label: IES Funded
  Group: SrcInfo
  Data: Yes
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED678875
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED678875
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
    Subjects:
      – SubjectFull: Educational Technology
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Privacy
        Type: general
      – SubjectFull: Information Security
        Type: general
      – SubjectFull: Student Records
        Type: general
      – SubjectFull: Access to Information
        Type: general
      – SubjectFull: Information Management
        Type: general
    Titles:
      – TitleFull: Privacy Enhancing Technologies in Digital Learning Platforms
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Digital Promise
      – PersonEntity:
          Name:
            NameFull: Empirical Education Inc.
      – PersonEntity:
          Name:
            NameFull: Institute of Education Sciences (ED)
      – PersonEntity:
          Name:
            NameFull: Vincent Dorie
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Type: published
              Y: 2025
          Titles:
            – TitleFull: Digital Promise
              Type: main
ResultId 1