DOI QR코드

DOI QR Code

Development of a Church Education Program Utilizing Project-Based Generative AI: Focusing on Youth Retreats

프로젝트 기반 생성형 AI 활용 교회교육 프로그램 개발: 청소년 수련회를 중심으로

  • Received : 2024.08.22
  • Accepted : 2024.09.29
  • Published : 2024.09.30

Abstract

Purpose of the Study : This study aims to propose alternative church education methodologies utilizing generative AI in the age of artificial intelligence. To achieve this, a project-based church education program using generative AI was developed and applied for a weekend retreat at Y Church's youth ministry located in Seoul. The study involved 18 youth participants and 5 teachers, and was conducted over two weekends, from February 17-18 and February 24-25, 2024, in a non-residential format. Contents and Method : The research methods included developing and applying the generative AI-based Bible education program, then assessing program satisfaction, effectiveness, and the internalization of faith through surveys and interviews with students, teachers, and the overseeing pastor. Satisfaction was measured using pre- and post-program questionnaires, while effectiveness was evaluated through pre- and post-program mind map assessments. To measure the internalization of faith, reflection journals and interviews were conducted. Conlusion : Analysis of the data from the 16 participants who attended both pre- and post-assessments revealed satisfaction with various aspects, including preferences for educational content, the value of educational activities, effort in participating in activities, perceived competence in the activities, preferences for the educators, preferences for the institution, and willingness to recommend the program to peers. The average satisfaction score increased from 11.92 before the program to 27.25 after, showing a significant increase of 15.33, which is statistically significant at the .05 level. Although the changes in faith maturity were not explicitly detailed, a slight change in faith through practical learning was observed. Additionally, the cognitive aspects of the learning content showed longer-lasting effects compared to typical retreats.

연구 목적 : 본 연구는 인공지능 시대 속에 생성형 AI를 활용한 대안적 교회교육 방법론을 제안하는 것을 목적으로 한다. 연구 내용 및 방법 : 이를 위해 서울특별시에 위치한 Y교회 청소년부를 대상으로 주말 수련회를 위한 프로젝트 기반 생성형 AI 활용 교회교육 프로그램을 개발 및 적용했다. 연구 대상은 청소년 18명과 교사 5명이었고, 기간은 2024년 2월 17~18일, 24~25일로 주말을 중심으로 비숙박형으로 진행되었다. 연구방법은 프로젝트 기반 생성형 AI를 활용 성경교육 프로그램을 개발 및 적용 후 학생, 교사, 담당 목회자를 대상으로 프로그램 만족도와 효과성, 신앙의 내면화를 확인했다. 만족도는 사전, 사후 설문지를 활용했고, 효과성을 확인하기 위해서 사전, 사후 마인드맵 검사를 진행했다. 그리고 신앙의 내면화를 측정하기 위해서 성찰저널과 면담을 실시했다. 결론 및 제언 : 사전, 사후 검사에 모두 참석한 16명을 대상으로 분석한 결과 교육내용 선호도, 교육 활동의 가치, 교육활동 참여에 대한 노력, 교육 활동에 대한 유능감, 교육담당자에 대한 선호도, 교육 기관에 대한 선호도, 교육에 대한 또래 추천 의지에 대해 모두 만족하고 있는 것으로 나타났다. 교육 프로그램의 만족도는 사전 평균 점수는 11.92였고, 사후 평균점수는 27.25로 15.33 증가한 것으로 나타났다. 이는 통계적으로 유의수준 .05에서 유의미한 차이를 보이는 것으로 나타났다. 또한 신앙성숙에 대한 부분은 구체적으로 표현되고 있지는 않았으나, 실천적인 배움을 통해 약간의 신앙적 변화 모습을 감지는 할 수 있었다. 또한 학습 내용에 대한 인지적인 부분은 일반적인 수련회 보다는 오래 지속되고 있는 것을 확인할 수 있었다.

Keywords

References

  1. Kang, J. W. (2023). A Study on Overcoming the Art Crisis of Elementary School Students Using AI Art Computer Program. Master's Thesis, Graduate School of Education, Gyeongin National University of Education.
  2. Ministry of Education (2020). Introduction of AI Digital Textbooks in Mathematics, English, and Information Technology Courses Starting in 2025. Korea Policy Briefing. Retrieved July 5, 2024, from https://www.korea.kr/news/policyNewsView.do?newsId=148912094.
  3. Ministry of Education & Ewha Womans University Future Education Research Institute (2023). Research on Educational Utilization of Generative AI Technology. 8th Digital Future Talent Forum, 49-59.
  4. National Intelligence Service (2023). Security Guidelines for the Use of Generative AI, including ChatGPT. National Cyber Security Center. Retrieved July 5, 2024, from https://www.ncsc.go.kr:4018/main/cop/bbs/selectBoardArticle.do?bbsId=InstructionGuide_main&nttId=54340&pageIndex=1.
  5. Kwon, W. K. (2023). Changes in the perception of AI in elementary school students after AI-using art and music classes. Master's Thesis, Graduate School of Education, Jeonbuk National University.
  6. Kim, S. Y., Go, B. I., & Seo, E. G. (2024). The impact of learners' gratitude disposition on computer thinking ability and digital efficacy in a Christian edu-tech program utilizing metaverse, generative AI, and Scratch based on a design thinking. Journal of Christian Education in Korea, 78, 231-262.
  7. Kim, H. R. (2023). The ChatGPT Era and Christian Worship: A Study of the Use of Generative AI in Christian Worship. Theology and praxis, 87, 7-34.
  8. Nam, S. W. (2023). Implications for the Direction of Christian Education in the Age of Artificial Intelligence. Journal of Christian Education in Korea, 74, 107-134.
  9. Nam, S. W. (2024). A Study of AI Convergence Teaching Competency Factor Constructs for Prospective Religious Education Teachers. Theology and Society, 38(1), 207-231.
  10. Dong-A Science (October 19, 2017). AlphaGo's 100-0 Victory: The World's Strongest Go Player 'AlphaGo Zero.' Retrieved from https://m.dongascience.com/news.php?idx=20142.
  11. Suh, D. H. (2023). Utilization strategies of generative ai platforms for cg education. Journal of Practical Engineering Education, 15(2), 357-364.
  12. Song, Y. W. (2023). Development of an Elementary Music Education Program Utilizing Artificial Intelligence. Master's Thesis, Graduate School of Education, Gyeongin National University of Education.
  13. Ahn, J. H., & Park, H. O. (2023). Development of a case-based nursing education program using generative artificial intelligence. The Journal of Korean Academic Society of Nursing Education, 29(3), 234-246.
  14. Oh, S. K. (2023). A study on the case of using chatgpt & learners' perceptions in college liberal arts writing. Korean Journal of General Education, 17(3), 11-23
  15. Yoon, I. S. (2023). Reimagining writing education as a liberal art in the age of generative AI and literacy. The Korean Journal of Literacy Research, 14(4), 13-40.
  16. Lee, G. L. (2023). University students' change of awareness and self-directed learning competencies after experience using and applying Chat GPT. Journal of Teaching & Learning research, 16(3), 71-94.
  17. AI Times (December 26, 2020). DeepMind Announces Muzero: An Innovative AI That Surpasses AlphaZero and Requires No Learning Rules. Retrieved from https://www.aitimes.kr/news/articleView.html?idxno=18776.
  18. Leem, B. H. (2023). Empowering Personalized Bible Study with ChatGPT. Logos Management Review, 21(2), 1-16.
  19. Im, J. S., & Ham, Y. J. (2020). A Study on Theological Students' Perception of Artificial Intelligence and the Christian Educational Implications. Journal of Christian Education in Korea, 61, 233-262.
  20. Jang, J. H. (2023). ChatGPT and Pastoral Ethics : Theological Discourse on the Pastoral Use of Artificial Intelligence. THEOLOGICAL THOUGHT, 201, 257-283.
  21. Jang, J. H. (2018). New AI Technology GAN: Understanding and Concepts of GAN. SAMSUNG SDS. Retrieved from https://www.samsungsds.com/kr/insights/generative-adversarial-network-ai-2.html.
  22. Jeong, Y. H. (2023). NYC Department of Education Changes Policy to Ban ChatGPT in Schools. Tech Recipe. Retrieved July 6, 2024, from https://techrecipe.co.kr/posts/54258.
  23. Jung, J. W. (2024). Possibilities and Limitations in the Use of Generative AI for Christian Preaching. Preaching Korea, 19, 45-91.
  24. Chung, J. Y., & Kim, J. H. (2023). A study on generative AI convergence education methods using the metaverse platform. The Korean Association Of Computer Education, 27(2), 183-185.
  25. Joo, H. H. (2024). A Case Study on the Use of Generative AI for Small Group Activities With the focus on creative cultural and artistic activities based on intertextuality. Theology and praxis, 89, 687-713.
  26. Korea Foundation for the Advancement of Science and Creativity (2020). AI Education with KERIS for Elementary School Teachers 1: Understanding AI Principles and AI Education. Korea Education & Research Information Service.
  27. Han, B. R. (2023). A Case Study on STEAM Science Jumping Project Elementary Students' Learning Using Generative AI. Journal of Convergence Science, Technology, and Society, 2(1), 27-34.
  28. Han, S. K., Ryu, M. Y., & Kim, T. R. (2021). AI Education for AI Thinking. Seoul: Seongandang Publishing.
  29. Heo, M. S., Bae, Y. J., Seok, H. J., & Lee, J. M. (2021). Trends in Domestic AI Utilization Education Research. Journal of Information Education, 25(6), 973-985.
  30. Barr, A., Feigenbaum, E. (1981). The handbook of artificial intelligence. vol.1, Los Altos.CA: MorganKaufmann.
  31. Brown, J. S. (2001). Learning in the digital age. The Internet and the university: Forum(pp. 71-72).
  32. Chowdhary, K. R. (2020). Introducing artificial intelligence. in: Fundamentals of artificial intelligence. New Delhi: Springer.
  33. Downes, S. (2012). Connectivism and connective knowledge. Huffington Post.
  34. Robinson, K. (2011). Out of our minds: Learning to be creative. John Wiley & Sons.
  35. Tapscott, D. (2009). Grown up digital: How the net generation is changing your world. McGraw-Hill.