دورية أكاديمية
AEJMC Advertising Division 2023 Teaching Pre-Conference Review: Innovating Data Storytelling and Visualization with Artificial Intelligence and Chat Generative Pre-Trained Transformer
| العنوان: | 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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| اللغة: | English |
| المؤلفون: | Robin Spring (ORCID |
| المصدر: | Journal of Advertising Education. 2024 28(1):6-17. |
| الإتاحة: | 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 |
| تاريخ النشر: | 2024 |
| نوع الوثيقة: | 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 |
| تدمد: | 1098-0482 2516-1873 |
| مستخلص: | 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 |
| رقم الأكسشن: | EJ1420503 |
| قاعدة البيانات: | ERIC |
Full Text Finder | تدمد: | 1098-0482 2516-1873 |
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| DOI: | 10.1177/10980482241236883 |