본문 바로가기
KERD
논문KCI 등재

공학교육에서의 생성형 AI와 비판적 사고: 프롬프트 엔지니어링 활용에 관한 연구

Generative AI and Critical Thinking in Engineering Education: A Study on Application of Prompt Engineering

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류학제간연구

초록

This study explores the integration of prompt engineering and critical thinking within generative AI applications for engineering education. As generative AI models become increasingly prevalent, prompt engineering emerges as a critical skill for optimizing AI outputs, while critical thinking ensures the validation and refinement of AI-generated responses. This research introduces innovative prompt engineering techniques and demonstrates their application through practical case studies in engineering classrooms. By analyzing student interactions with AI, we identify how critical thinking frameworks enhance output quality and foster deeper engagement. Our findings reveal that combining prompt engineering with critical thinking significantly improves students’ creative problem-solving abilities and analytical skills. Furthermore, this study provides a novel approach for educators to design more interactive and adaptive curricula, effectively incorporating generative AI to enrich the learning experience. The results underscore the transformative potential of prompt engineering as a pedagogical tool, offering clear guidance on leveraging AI technologies to empower both educators and learners.

Abstract

This study explores the integration of prompt engineering and critical thinking within generative AI applications for engineering education. As generative AI models become increasingly prevalent, prompt engineering emerges as a critical skill for optimizing AI outputs, while critical thinking ensures the validation and refinement of AI-generated responses. This research introduces innovative prompt engineering techniques and demonstrates their application through practical case studies in engineering classrooms. By analyzing student interactions with AI, we identify how critical thinking frameworks enhance output quality and foster deeper engagement. Our findings reveal that combining prompt engineering with critical thinking significantly improves students’ creative problem-solving abilities and analytical skills. Furthermore, this study provides a novel approach for educators to design more interactive and adaptive curricula, effectively incorporating generative AI to enrich the learning experience. The results underscore the transformative potential of prompt engineering as a pedagogical tool, offering clear guidance on leveraging AI technologies to empower both educators and learners.

참고문헌 (51)

  1. Aydın, O., "Is ChatGPT leading generative AI? What is beyond expectations", Academic Platform Journal of Engineering and Smart Systems, 11(3), pp.118~134 (2023)
  2. Ayo, R., "Assessing clarity in educational prompts : A framework for critical thinking", Critical Thinking and Education Journal, 34(1), pp.45~63 (2019)
  3. Bozic, V., "Chat GPT and education", Preprint, ~ (2023)
  4. Bryman, A., "Social research methods" (2012), Oxford University Press
  5. Chatfield, T., "Critical thinking: Your guide to effective argument, successful analysis and independent study" (2022), SAGE Publications Ltd
  6. Chen, J., "The role of qualitative and quantitative methods in educational research", Educational Research Quarterly, 44(3), pp.15~29 (2021)
  7. Cohen, L., "Research methods in education" (2018), Routledge
  8. Creswell, J. W., "Research design: Qualitative, quantitative, and mixed methods approaches" (2014), SAGE Publications
  9. Denzin, N. K., "Triangulation in educational research : Balancing perspectives", Educational Perspectives, 45(1), pp.11~15 (2012)
  10. Ennis, R. H., "The Nature of Critical Thinking : An Outline of Critical Thinking Dispositions and Abilities", University of Illinois, 2(4), pp.1~8 (2011)
  11. Epstein, Z., "Art and the science of generative AI", Science, 380(6650), pp.1110~1111 (2023)
  12. Facione, P. A., "Critical Thinking: A Statement of Expert Consensus for Purposes of Educational Assessment and Instruction" (1990), The California Academic Press
  13. Fuchs, K., "Frontiers in Education (Vol. 8)", pp.1166682~ (2023), Frontiers Media SA
  14. Gao, T., "Making Pre-trained Language Models Better Few-shot Learners", Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (2021)
  15. Gregory, S. F., "Transforming Education With Generative AI: Prompt Engineering and Synthetic Content Creation", pp.239~260 (2024), IGI Global
  16. Guo, Y., "Leveraging chatgpt for enhancing critical thinking skills", Journal of Chemical Education, 100(12), pp.4876~4883 (2023)
  17. Gupta, R., "Adoption and impacts of generative artificial intelligence : Theoretical underpinnings and research agenda", International Journal of Information Management Data Insights, 4(1), pp.100232~ (2024)
  18. Knoth, N., "AI literacy and its implications for prompt engineering strategies", Computers and Education : Artificial Intelligence, 6, pp.100225~ (2024)
  19. Kojima, T., "Large language models are zero-shot reasoners", Advances in neural information processing systems, 35, pp.22199~22213 (2022)
  20. Krippendorff, K., "Content analysis: An introduction to its methodology" (2018), SAGE Publications
  21. Kuhn, D., "A Developmental Model of Critical Thinking", Educational Researcher, 28(2), pp.16~46 (1999)
  22. Lantada, A. D., "Engineering education 5. 0 : Continuously evolving engineering education", International Journal of Engineering Education, 36(6), pp.1814~1832 (2020)
  23. Lin, C., "Evaluating AI-assisted learning in higher education : Accuracy and applicability", Journal of Educational Technology, 39(2), pp.120~137 (2022)
  24. Liu, Y., "Logprompt: Prompt engineering towards zero-shot and interpretable log analysis", Proceedings of the 2024 IEEE, 2024, 364~365
  25. Lo, L. S., "The art and science of prompt engineering : a new literacy in the information age", Internet Reference Services Quarterly, 27(4), pp.203~210 (2023)
  26. Mungoli, N., "Exploring the synergy of prompt engineering and reinforcement learning for enhanced control and responsiveness in chat GPT", Journal of Electrical Electronics Engineering, 2(3), pp.201~205 (2023)
  27. Nikolic, S., "ChatGPT versus engineering education assessment : a multidisciplinary and multi-institutional benchmarking and analysis of this generative artificial intelligence tool to investigate assessment integrity", European Journal of Engineering Education, 48(4), pp.559~614 (2023)
  28. Qadir, J., "Engineering education in the era of ChatGPT : Promise and pitfalls of generative AI for education", 2023 IEEE Global Engineering Education Conference (EDUCON), pp.1~9 (2023), IEEE
  29. Rane, N., "ChatGPT and Similar Generative Artificial Intelligence (AI) for Smart Industry: role, challenges and opportunities for industry 4.0, industry 5.0 and society 5.0", Challenges and Opportunities for Industry, 4 (2023)
  30. Reynolds, L., "Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm", Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (2021)
  31. Roll, I., "Evolution and Revolution in Artificial Intelligence in Education", International Journal of Artificial Intelligence in Education, 26(2), pp.582~599 (2016)
  32. Ruiz-Rojas, L. I., "Collaborative working and critical thinking : Adoption of generative artificial intelligence tools in higher education. 27", Sustainability, 16(13), pp.5367~ (2024)
  33. Rusandi, M. A., "No worries with ChatGPT : building bridges between artificial intelligence and education with critical thinking soft skills", Journal of Public Health, 45(3), pp.e602~e603 (2023)
  34. Sanh, V., "Multitask Prompted Training Enables Zero-Shot Task Generalization", International Conference on Learning Representations (2022)
  35. Shanto, S. S., "Enriching Learning Process with Generative AI : A Proposed Framework to Cultivate Critical Thinking in Higher Education using Chat GPT", Tuijin Jishu, 2024, pp.45(1), 3019~3029
  36. Southworth, J., "Developing a model for AI Across the curriculum : Transforming the higher education landscape via innovation in AI literacy", Computers and Education : Artificial Intelligence, 4, pp.100127~ (2023)
  37. Thornhill-Miller, B., "Creativity, critical thinking, communication, and collaboration : assessment, certification, and promotion of 21st century skills for the future of work and education", Journal of Intelligence, 11(3), pp.54~ (2023)
  38. Turakhia, D., "Generating Reflection Prompts in Self-Directed Learning Activities with Generative AI" (2024)
  39. Vaswani, A., "Attention Is All You Need. Advances in Neural Information Processing Systems" (2017)
  40. Walter, Y., "Embracing the future of Artificial Intelligence in the classroom : the relevance of AI literacy, prompt engineering, and critical thinking in modern education", International Journal of Educational Technology in Higher Education, 21(1), pp.15~ (2024)
  41. Wang, K. D., "Frontiers in Education (Vol. 8)", pp.1330486~ (2024), Frontiers Media SA
  42. Wang, L., "Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs", npj Digital Medicine, 7(1), pp.41~ (2024)
  43. Wu, Y., "Integrating generative AI in education : how ChatGPT brings challenges for future learning and teaching", Journal of Advanced Research in Education, 2(4), pp.6~10 (2023)
  44. Wu, Y., "Exploring prompt engineering with GPT language models for document-level machine translation: Insights and findings", Proceedings of the Eighth Conference on Machine Translation, pp.166~169 (2023)
  45. Zhai, X., "Artificial Intelligence(AI)in Engineering Education : A Systematic Review", Computer Applications in Engineering Education, 29(5), pp.1085~1102 (2021)

관련 논문AI추천

이 간행물의 다른 논문 (6건)