The impact of generative AI on syllabus design and learning
Resource type
Authors/contributors
- Kim, Hyoseok (Author)
- Koo, Thomas K. B. (Author)
Title
The impact of generative AI on syllabus design and learning
Abstract
This research examines the impact of generative artificial intelligence (AI) on the perception of 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 AI-generated syllabi, attributed to their greater perceived objectivity. This preference is more pronounced in conventional courses but diminishes in unconventional ones, suggesting that the unique aspects of these courses may reduce the advantages of generative AI. In addition, disclosing the AI authorship of syllabi significantly affects their perceived quality negatively, underscoring the impact of transparency on the acceptance of AI-generated educational materials. These findings highlight the potential of generative AI in educational content creation and its limitations in certain contexts. They offer valuable insights for enhancing educational practices and shaping policy decisions to enrich student experiences in the era of AI integration.
Publication
Journal of Marketing Education
Publisher
SAGE Publications Inc
Date
2024-12-12
Pages
02734753241299024
Citation Key
kimImpactGenerativeAI2024
Accessed
12/19/24, 3:29 PM
ISSN
0273-4753
Language
en
Library Catalog
SAGE Journals
Citation
Kim, H., & Koo, T. K. B. (2024). The impact of generative AI on syllabus design and learning. Journal of Marketing Education, 02734753241299024. https://doi.org/10.1177/02734753241299024
Link to this record