JOURNAL ARTICLE

Advancing Advertising Education Through AI and Experiential Learning: Insights From a Campaign Planning Course for Caregivers in Hong Kong.

  • Published In: Journal of Advertising Education, 2025, v. 29, n. 1. P. 18 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Leung, Vivienne S.Y. 3 of 3

Abstract

This article examines a research-led, service-learning teaching approach in an advertising campaign planning course at Hong Kong Baptist University, focusing on understanding the challenges and needs of caregivers in Hong Kong. The course integrates the AI consumer intelligence tool BrandWatch with first-hand qualitative interviews to provide students with both quantitative and contextual insights into caregiving issues, particularly mental health and support needs. Students collaborated with the digital platform 60-60 to develop data-driven, socially responsible campaign proposals aimed at supporting caregivers, while reflecting on their learning and AI tool usage. The study highlights the pedagogical benefits and challenges of combining AI analysis with experiential learning in advertising education, emphasizing enhanced student engagement, critical thinking, and ethical considerations.

Additional Information

  • Source:Journal of Advertising Education. 2025/05, Vol. 29, Issue 1, p18
  • Document Type:Article
  • Subject Area:Marketing
  • Publication Date:2025
  • ISSN:1098-0482
  • DOI:10.1177/10980482241306740
  • Accession Number:184836138
  • Copyright Statement:Copyright of Journal of Advertising Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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