دورية أكاديمية

Generative AI and Marketing Education: What the Future Holds

التفاصيل البيبلوغرافية
العنوان: Generative AI and Marketing Education: What the Future Holds
اللغة: English
المؤلفون: Abhijit Guha, Dhruv Grewal (ORCID 0000-0002-7046-6063), Stephen Atlas
المصدر: Journal of Marketing Education. 2024 46(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 - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Business Administration Education, Marketing, Educational Change, Change Strategies, Teaching Methods, Man Machine Systems, Natural Language Processing, Risk Management
DOI: 10.1177/02734753231215436
تدمد: 0273-4753
1552-6550
مستخلص: To understand why and how marketing educators can best use generative artificial intelligence (AI), such as ChatGPT, this article integrates a literature survey, interviews with both marketing educators and managers, and surveys of both marketing educators and students. In leveraging these inputs, the authors argue that generative AI can significantly shape and improve the future of marketing education. Specifically, by including ChatGPT in their lessons, marketing educators can both materially enhance learning experiences and better prepare students for future jobs with marketing firms that rely on ChatGPT in practice. Noting that ChatGPT has downsides, this research identifies several steps educators should take to minimize the risks. Finally, the authors propose an agenda for continued research into how marketing educators can and should use ChatGPT, with the explicit recognition that ChatGPT is evolving rapidly, so that, the research agenda will need to adapt as well.
Abstractor: As Provided
Entry Date: 2024
رقم الأكسشن: EJ1415675
قاعدة البيانات: ERIC
الوصف
تدمد:0273-4753
1552-6550
DOI:10.1177/02734753231215436