Designing the Future of Entrepreneurship Education: Exploring an AI-Empowered Scaffold System for Business Plan Development
Junhua Zhu, Lan Luo

TL;DR
This paper explores the design of an AI-empowered scaffold system to enhance entrepreneurship education by providing personalized guidance in business plan development, aiming to improve learning outcomes and practical skills.
Contribution
It introduces a novel AI-based scaffold system tailored for entrepreneurship education, addressing personalization and alignment challenges identified through qualitative research.
Findings
Identified key design dimensions: mastery, alignment, and adaptability.
Highlighting AI's potential to bridge gaps in entrepreneurship training.
Emphasizing the importance of human mentorship alongside AI tools.
Abstract
Entrepreneurship education equips students to transform innovative ideas into actionable entrepreneurship plans, yet traditional approaches often struggle to provide the personalized guidance and practical alignment needed for success. Focusing on the business plan as a key learning tool and evaluation method, this study investigates the design needs for an AI-empowered scaffold system to address these challenges. Based on qualitative insights from educators and students, the findings highlight three critical dimensions for system design: mastery of business plan development, alignment with entrepreneurial learning goals, and integration of adaptive system features. These findings underscore the transformative potential of AI in bridging gaps in entrepreneurship education while emphasizing the enduring value of human mentorship and experiential learning.
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