Scaffolding Creativity: Integrating Generative AI Tools and Real-world Experiences in Business Education
Project Overview
The document explores the integration of Generative AI tools in business education through an exploratory case study, emphasizing their impact on student creativity and learning outcomes in a hands-on brand development course. It illustrates how students utilize various AI modalities to enhance their creative processes, overcome barriers, and acquire new skills, fostering a productive interplay between AI-generated insights and real-world applications. Nevertheless, the study also highlights challenges such as the complexities of prompt engineering and the necessity for more user-friendly AI interfaces. Ultimately, the findings suggest that Generative AI has the potential to significantly scaffold creativity and promote interdisciplinary learning within business education, indicating a transformative role for AI in enhancing educational experiences.
Key Applications
Integration of Generative AI tools in business education for experiential learning.
Context: Undergraduate business education course focusing on brand development.
Implementation: Students used a range of AI tools (ChatGPT for text generation, Midjourney for image generation) throughout the course, complemented by real-world experiences such as field trips to observe market dynamics.
Outcomes: Accelerated knowledge acquisition, enhanced creativity, and production of professional-quality deliverables. Students successfully combined AI-generated insights with real-world observations.
Challenges: Prompt engineering difficulties, varying levels of AI literacy among students, and the need for more intuitive AI interfaces.
Implementation Barriers
Technical Barrier
Students face significant hurdles in prompt engineering and utilizing AI tools effectively for creative tasks.
Proposed Solutions: Develop more intuitive AI interfaces and provide training on effective prompt engineering strategies.
Curriculum Barrier
The rapid evolution of AI capabilities creates a moving target for curriculum design.
Proposed Solutions: Adapt curriculum dynamically to incorporate the latest AI advancements and design assessments that account for AI-generated outputs.
Project Team
Nicole C. Wang
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Nicole C. Wang
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai