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A Case Study on Applying Generative AI-Based PBL Courses : Focusing on Short-Term Learning Achievement Changes

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 14 Number 4 (2025.12)바로가기
  • 페이지
    pp.95-104
  • 저자
    Eunbi Kim, Young Ho Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A481179

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원문정보

초록

영어
This study aims to empirically examine the educational effectiveness of a Generative Artificial Intelligence(AI)- based short-term intensive Project-Based Learning (PBL) program. Motivated by the rapid emergence of Generative AI in education, the authors intend to explore whether AI-integrated PBL can serve as a viable alternative to traditional lecture-driven learning. The program was conducted with 23 university students, who used ChatGPT, Runway, Midjourney, and SUNO to complete the entire immersive video production process. A post-program survey consisting of four domains—Learning Experience, AI Utilization Competence, PBL Learning Experience, and Program Satisfaction—was administered using a five-point Likert scale. Results revealed high satisfaction across all categories, with Learning Experience (C_M = 4.36) and PBL Learning Experience (C_M = 4.36) showing the strongest outcomes. Learners particularly valued the role of Generative AI in providing practical problem-solving experiences and enabling rapid prototype production. Although some variation was observed in self-directed learning and AI confidence, overall findings indicate strong gains in engagement, creativity, and practical competency. These results support the authors’ intention to validate AI-based PBL as an immersive, efficient, and practice-oriented learning model. Moreover, the study highlights its potential for broader application in lifelong learning, reskilling, and professional technical education. The authors ultimately aim to contribute empirical evidence to the emerging discourse on AI-mediated instructional design and future-oriented educational innovation.

목차

Abstract
1. Introduction
2. Theoretical Background
2.1 Characteristics and Limitations of Traditional Education
2.2 Educational Significance of Project-Based Learning (PBL)
2.3 Emergence and Characteristics of Generative AI-Based PBL
3. Research Methodology
3.1 Educational Program Design
3.2 Research Participants and Procedure
4. Results
5. Discussions
5.1 Theoretical Implications
5.2 Practical Implications
6. Conclusion
Acknowledgement
Reference

키워드

Generative Artificial Intelligence(AI) Project-Based Learning(PBL) Short-Term Intensive Learning Model Innovative Pedagogical Framework Educational Paradigms

저자

  • Eunbi Kim [ Research Professor, Chung-Ang University ]
  • Young Ho Kim [ Assistant Professor, Department of VR Convergence Engineering, Duksung Women's University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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