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AEJMC Advertising Division 2024 Teaching Pre-Conference Review: AI and Beyond: Synchronizing Timeless Principles in Today’s Realities in Advertising Education

Robin Spring & Shanshan Lou

Journal of Advertising Education2025https://doi.org/10.1177/10980482251330587article
AJG 1ABDC C
Weight
0.50

What the paper says

The 27th annual Teaching Pre-Conference, organized by the Advertising Division of the Association for Education in Journalism and Mass Communication, focused on how artificial intelligence (AI) is being integrated with timeless advertising principles in practice. Ten distinguished speakers from leading advertising agencies, media outlets, and universities discussed the use of AI tools in various areas, including creative content generation, media planning, interface design, and research. They also shared practical strategies for incorporating generative AI into the classroom. The four key trends that emerged from the panel presentations are discussed.

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https://doi.org/https://doi.org/10.1177/10980482251330587

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@article{robin2025,
  title        = {{AEJMC Advertising Division 2024 Teaching Pre-Conference Review: AI and Beyond: Synchronizing Timeless Principles in Today’s Realities in Advertising Education}},
  author       = {Robin Spring & Shanshan Lou},
  journal      = {Journal of Advertising Education},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/10980482251330587},
}

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AEJMC Advertising Division 2024 Teaching Pre-Conference Review: AI and Beyond: Synchronizing Timeless Principles in Today’s Realities in Advertising Education

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.