View in EDS

AEJMC Advertising Division 2023 Teaching Pre-Conference Review: Innovating Data Storytelling and Visualization with Artificial Intelligence and Chat Generative Pre-Trained Transformer

Saved in:
Bibliographic Details
Title: AEJMC Advertising Division 2023 Teaching Pre-Conference Review: Innovating Data Storytelling and Visualization with Artificial Intelligence and Chat Generative Pre-Trained Transformer
Language: English
Authors: Robin Spring (ORCID 0000-0001-9028-258X), Shanshan Lou (ORCID 0000-0003-3135-6336)
Source: Journal of Advertising Education. 2024 28(1):6-17.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 12
Publication Date: 2024
Document Type: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Advertising, Conferences (Gatherings), Journalism Education, Mass Media, Data Use, Visual Aids, Artificial Intelligence, Story Telling, Technology Uses in Education, Computer Oriented Programs, Technology Integration, Universities, Industry, Natural Language Processing
DOI: 10.1177/10980482241236883
ISSN: 1098-0482
2516-1873
Abstract: The 26th annual Teaching Pre-Conference organized by the Advertising Division of the Association for Education in Journalism and Mass Communication focused on the topic of innovating data storytelling and visualization with AI and ChatGPT. Five prominent speakers from leading media companies and universities shared insights with advertising educators, covering the application, impact, and challenges of generative artificial intelligence (AI) in the advertising industry. The five panels also delved into effective ways of integrating generative AI tools into the classroom. Three key trends that arise from the panel presentations are discussed below. Relevant advertising AI tools and class activities are also shared in the report.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1420503
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1420503
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: AEJMC Advertising Division 2023 Teaching Pre-Conference Review: Innovating Data Storytelling and Visualization with Artificial Intelligence and Chat Generative Pre-Trained Transformer
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Robin+Spring%22">Robin Spring</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9028-258X">0000-0001-9028-258X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Shanshan+Lou%22">Shanshan Lou</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3135-6336">0000-0003-3135-6336</externalLink>)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Advertising+Education%22"><i>Journal of Advertising Education</i></searchLink>. 2024 28(1):6-17.
– Name: Avail
  Label: Availability
  Group: Avail
  Data: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 12
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2024
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Descriptive
– Name: Audience
  Label: Education Level
  Group: Audnce
  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Advertising%22">Advertising</searchLink><br /><searchLink fieldCode="DE" term="%22Conferences+%28Gatherings%29%22">Conferences (Gatherings)</searchLink><br /><searchLink fieldCode="DE" term="%22Journalism+Education%22">Journalism Education</searchLink><br /><searchLink fieldCode="DE" term="%22Mass+Media%22">Mass Media</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+Aids%22">Visual Aids</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Story+Telling%22">Story Telling</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Oriented+Programs%22">Computer Oriented Programs</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Integration%22">Technology Integration</searchLink><br /><searchLink fieldCode="DE" term="%22Universities%22">Universities</searchLink><br /><searchLink fieldCode="DE" term="%22Industry%22">Industry</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+Language+Processing%22">Natural Language Processing</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1177/10980482241236883
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1098-0482<br />2516-1873
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The 26th annual Teaching Pre-Conference organized by the Advertising Division of the Association for Education in Journalism and Mass Communication focused on the topic of innovating data storytelling and visualization with AI and ChatGPT. Five prominent speakers from leading media companies and universities shared insights with advertising educators, covering the application, impact, and challenges of generative artificial intelligence (AI) in the advertising industry. The five panels also delved into effective ways of integrating generative AI tools into the classroom. Three key trends that arise from the panel presentations are discussed below. Relevant advertising AI tools and class activities are also shared in the report.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2024
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1420503
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1420503
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/10980482241236883
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 6
    Subjects:
      – SubjectFull: Advertising
        Type: general
      – SubjectFull: Conferences (Gatherings)
        Type: general
      – SubjectFull: Journalism Education
        Type: general
      – SubjectFull: Mass Media
        Type: general
      – SubjectFull: Data Use
        Type: general
      – SubjectFull: Visual Aids
        Type: general
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Story Telling
        Type: general
      – SubjectFull: Technology Uses in Education
        Type: general
      – SubjectFull: Computer Oriented Programs
        Type: general
      – SubjectFull: Technology Integration
        Type: general
      – SubjectFull: Universities
        Type: general
      – SubjectFull: Industry
        Type: general
      – SubjectFull: Natural Language Processing
        Type: general
    Titles:
      – TitleFull: AEJMC Advertising Division 2023 Teaching Pre-Conference Review: Innovating Data Storytelling and Visualization with Artificial Intelligence and Chat Generative Pre-Trained Transformer
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Robin Spring
      – PersonEntity:
          Name:
            NameFull: Shanshan Lou
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 1098-0482
            – Type: issn-electronic
              Value: 2516-1873
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of Advertising Education
              Type: main
ResultId 1