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

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  • Author(s): Robin Spring (ORCID Robin Spring (ORCID 0000-0001-9028-258X); Shanshan Lou (ORCID Shanshan Lou (ORCID 0000-0003-3135-6336)
  • Language:
    English
  • Source:
    Journal of Advertising Education. 2024 28(1):6-17.
  • Publication Date:
    2024
  • Document Type:
    Journal Articles
    Reports - Descriptive
  • Additional Information
    • Availability:
      SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: [email protected]; Web site: https://sagepub.com
    • Peer Reviewed:
      Y
    • Source:
      12
    • Education Level:
      Higher Education
      Postsecondary Education
    • Subject Terms:
      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
    • Accession Number:
      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.
    • Abstract:
      As Provided
    • Publication Date:
      2024
    • Accession Number:
      EJ1420503