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A Generative AI-based System for Business Plan Development and Investment Simulation in Startup Education

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(2), pp.259~267
  • DOI : 10.9708/jksci.2026.31.02.259
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : December 16, 2025
  • Accepted : January 20, 2026
  • Published : February 27, 2026

Young-Cheon Kim 1

1(주)퀀텀에듀솔루션

Accredited

ABSTRACT

To enhance the effectiveness of startup education, this study establishes a step-by-step business plan education process grounded in Project-Based Learning (PBL) theory and implements an AI-based educational support system named ABL-Startup. Conventional startup education often imposes cognitive burdens on learners when translating initial ideas into structured business models and requires excessive time for non-essential tasks such as document preparation. To address these limitations, this study defines a PSST-based five-step process and operationalizes it through a system integrating a Java-based web environment with the GPT API. The proposed system provides AI-guided support for business plan development, automatically generates presentation materials, and offers feedback through a mock investment mechanism. A pilot application targeting prospective entrepreneurs indicates reduced documentation burden and greater focus on core business idea development, suggesting the potential of the proposed system as a practical support tool for startup education contexts.

Citation status

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