Scaffolding Creativity: Integrating Generative AI Tools and Real-World Experiences in Business Education

This exploratory study investigates the intersection of Generative AI tools and experiential learning in business education. Through a case study of an innovative undergraduate course, we examine how students interact with and adapt to various AI modalities-from text-based tools to image generation-alongside real-world experiences. Our findings reveal how this integrated approach enables novice users to overcome creative barriers, accelerates skill acquisition, and creates a dynamic interplay between AI-generated insights and real-world validation. We identify critical interaction challenges, including prompt engineering patterns and the need for more intuitive AI interfaces in educational contexts. These insights inform the design of future AI tools for creative learning and contribute to broader HCI discussions about human-AI collaboration in educational settings.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1145/3706599.3720283
Citations
8
Primary Topic
Creativity in Education and Neuroscience
Type
article
Field-Weighted Citation Impact
16.95
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article

Scaffolding Creativity: Integrating Generative AI Tools and Real-World Experiences in Business Education

Nicole C. Wang
8 citations
Creativity in Education and Neuroscience
16.95
article

Scaffolding Creativity: Integrating Generative AI Tools and Real-World Experiences in Business Education

Nicole C. Wang
article en
8 citations

Abstract

This exploratory study investigates the intersection of Generative AI tools and experiential learning in business education. Through a case study of an innovative undergraduate course, we examine how students interact with and adapt to various AI modalities-from text-based tools to image generation-alongside real-world experiences. Our findings reveal how this integrated approach enables novice users to overcome creative barriers, accelerates skill acquisition, and creates a dynamic interplay between AI-generated insights and real-world validation. We identify critical interaction challenges, including prompt engineering patterns and the need for more intuitive AI interfaces in educational contexts. These insights inform the design of future AI tools for creative learning and contribute to broader HCI discussions about human-AI collaboration in educational settings.

New York University Shanghai (CN)
Openalex Percentile: Top 1%
Creativity in Education and Neuroscience
16.95
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