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

Q3 Social Sciences
R. Spring, Shanshan Lou
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引用次数: 0

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.
AEJMC 广告部 2023 年会前教学回顾:利用人工智能和聊天生成预训练变换器创新数据讲故事和可视化方法
由美国新闻与大众传播教育协会广告分会举办的第 26 届年度教学预科班会议的主题是利用人工智能和 ChatGPT 创新数据讲故事和可视化。来自领先媒体公司和大学的五位著名演讲者与广告教育工作者分享了他们的见解,内容涉及生成式人工智能(AI)在广告行业的应用、影响和挑战。五场小组讨论还深入探讨了将生成式人工智能工具融入课堂的有效方法。下文将讨论小组发言中提出的三个主要趋势。报告中还分享了相关的广告人工智能工具和课堂活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Advertising Education
Journal of Advertising Education Social Sciences-Communication
CiteScore
1.00
自引率
0.00%
发文量
14
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