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 a case study of an undergraduate course, demonstrating their significant impact on enhancing students' creativity, knowledge acquisition, and overall learning outcomes. By combining AI-assisted learning with real-world experiences, the study reveals that these tools help dismantle traditional creative barriers, accelerate learning processes, and increase student engagement. Despite these positive findings, the document also identifies challenges, including the necessity for instructors to be AI-literate and the fast-paced evolution of AI technology, which pose implications for curriculum development and pedagogical strategies in business education. Overall, the document underscores the transformative potential of generative AI in fostering innovative learning environments while highlighting the need for educators to adapt to these emerging tools effectively.
Key Applications
Generative AI tools for branding and user-centered design
Context: Undergraduate business education, targeting students with varying levels of AI literacy
Implementation: Integrated AI-assisted learning with real-world experiences, such as field trips and practical branding projects
Outcomes: Accelerated knowledge acquisition, enhanced creativity, improved quality of outputs, greater individual expression in projects
Challenges: Instructors need high AI literacy; curriculum must keep pace with rapidly evolving AI tools; traditional assessment methods challenged
Implementation Barriers
Instructor-related barrier
Demand for instructors with high AI literacy and interdisciplinary expertise
Proposed Solutions: Professional development programs for instructors to enhance their AI knowledge and teaching methods
Curriculum-related barrier
Rapid evolution of AI tools creates challenges for sustainable curriculum design
Proposed Solutions: Adopting flexible, dynamic curriculum development strategies that can adapt to technological changes
Student-related barrier
Vast variations in students' AI literacy and proficiency, particularly among novice users
Proposed Solutions: Implementing foundational AI literacy training and support mechanisms for students
Assessment-related barrier
Challenges in distinguishing between AI-generated content and student-generated insights
Proposed Solutions: Developing new assessment methodologies tailored to AI-integrated learning environments
Scalability barrier
Logistical and scalability issues of immersive, real-world experiences may limit widespread adoption
Proposed Solutions: Exploring scalable models of experiential learning that can be integrated into various educational contexts
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