The Impact of Generative AI on Syllabus Design and Learning DOI Creative Commons
H. Kim,

T. K. Koo

Journal of Marketing Education, Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

This research examines the impact of generative artificial intelligence (AI) on perception educational content quality, specifically by comparing AI-generated and human-generated course syllabi in marketing education. Results from four studies indicate a general preference for syllabi, attributed to their greater perceived objectivity. is more pronounced conventional courses but diminishes unconventional ones, suggesting that unique aspects these may reduce advantages AI. In addition, disclosing AI authorship significantly affects quality negatively, underscoring transparency acceptance materials. These findings highlight potential creation its limitations certain contexts. They offer valuable insights enhancing practices shaping policy decisions enrich student experiences era integration.

Язык: Английский

Empowering GenAI stakeholders DOI
Erik Hermann, Stefano Puntoni

Journal of the Academy of Marketing Science, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Язык: Английский

Процитировано

0

How generative AI Is shaping the future of marketing DOI Creative Commons
Dhruv Grewal, Cinthia B. Satornino, Thomas H. Davenport

и другие.

Journal of the Academy of Marketing Science, Год журнала: 2024, Номер unknown

Опубликована: Дек. 14, 2024

Abstract Generative AI (Gen AI) is shaping the future of marketing. In next decade, Gen will influence how marketers interact and communicate with customers, help create deliver marketing content (text, images, video), inform methods for researching developing new products services. both service sales settings, affect customers directly significantly. Therefore, marketers, researchers, public policy makers require a clear understanding its potential, as well limitations. To assist in thinking through adoption implementation AI, current article presents four-quadrant organizing framework that highlights trade-offs nature inputs extent human augmentation needed to AI–generated outputs. This provides guidance selection tools, recommendations further research.

Язык: Английский

Процитировано

3

“A How-To-Guide For Bringing Artificial Intelligence Into Life In Your Marketing Curriculum: A Blueprint For Student Learning And Success” DOI
Victor A. Barger,

Pavan Rao Chennamaneni,

Andrew J. Dahl

и другие.

Marketing Education Review, Год журнала: 2024, Номер unknown, С. 1 - 10

Опубликована: Ноя. 18, 2024

The rapid rise of artificial intelligence (AI) presents both challenges and opportunities for marketing educators. This paper outlines a transformative process undertaken by our department to integrate AI across the curriculum. We detail strategic shift from initial resistance acceptance, resulting in successful integration AI-focused content experiential learning into courses. Key innovations included curriculum redesign, AI-specific exercises, activities aimed at enhancing literacy prompt engineering skills. further explore impact these changes on student engagement outcomes, demonstrating how tools such as ChatGPT xiQ can be effectively employed teaching. Our findings reveal high levels satisfaction self-reported knowledge gains, particularly courses where was central component. provides blueprint other institutions seeking embrace their programs, offering practical recommendations overcoming resistance, fostering implementing AI-based pedagogies. By aligning education with industry needs, we aim prepare students thrive an increasingly AI-driven environment.

Язык: Английский

Процитировано

0

The Impact of Generative AI on Syllabus Design and Learning DOI Creative Commons
H. Kim,

T. K. Koo

Journal of Marketing Education, Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

This research examines the impact of generative artificial intelligence (AI) on perception educational content quality, specifically by comparing AI-generated and human-generated course syllabi in marketing education. Results from four studies indicate a general preference for syllabi, attributed to their greater perceived objectivity. is more pronounced conventional courses but diminishes unconventional ones, suggesting that unique aspects these may reduce advantages AI. In addition, disclosing AI authorship significantly affects quality negatively, underscoring transparency acceptance materials. These findings highlight potential creation its limitations certain contexts. They offer valuable insights enhancing practices shaping policy decisions enrich student experiences era integration.

Язык: Английский

Процитировано

0