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      생성적 인공지능의 교육적 활용 방안 탐색: 생물학습을 위한 ChatGPT 활용을 중심으로 = An Investigation of Generative AI in Educational Application: Focusing on the Usage of ChatGPT for Learning Biology

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      https://www.riss.kr/link?id=A108540593

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      다국어 초록 (Multilingual Abstract)

      Recently, generative AI could create new information and contents similar to the real, and the AI interacts like humans. The investigation of teaching and learning is essential to use generative AI in education. Therefore researchers performed a literature review of the characteristics and types of generative AI for the guide and direction of the educational application. ChatGPT is a representative example of generative AI, and it is an unsupervised learning model based on GPT(a deep learning-based language model). It can generate output like humans from pre-learned big data and experience similar to the teacher and student interaction. In particular, life science targets living organisms and must consider multidimensional perspectives. Therefore generative AI can use as an assistance tool for concept learning and inquiry activities in biology education. According to the theoretical considerations and use cases presented above, it was possible to learn with the help of generative AI without experts to verify learners' intuition concepts, inquiry performance, maintain safety, analysis of results, and etc. Researchers present a teaching-learning model using generative AI based on a literature review and examples for biological concept learning and inquiry activities using ChatGPT. It is necessary to shift the evaluation method from quantitative to qualitative to utilize generative AI. Also, it is essential to present a strategy for teaching and learning using AI in consideration of ethical aspects and to develop learners' decision-making capabilities.
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      Recently, generative AI could create new information and contents similar to the real, and the AI interacts like humans. The investigation of teaching and learning is essential to use generative AI in education. Therefore researchers performed a liter...

      Recently, generative AI could create new information and contents similar to the real, and the AI interacts like humans. The investigation of teaching and learning is essential to use generative AI in education. Therefore researchers performed a literature review of the characteristics and types of generative AI for the guide and direction of the educational application. ChatGPT is a representative example of generative AI, and it is an unsupervised learning model based on GPT(a deep learning-based language model). It can generate output like humans from pre-learned big data and experience similar to the teacher and student interaction. In particular, life science targets living organisms and must consider multidimensional perspectives. Therefore generative AI can use as an assistance tool for concept learning and inquiry activities in biology education. According to the theoretical considerations and use cases presented above, it was possible to learn with the help of generative AI without experts to verify learners' intuition concepts, inquiry performance, maintain safety, analysis of results, and etc. Researchers present a teaching-learning model using generative AI based on a literature review and examples for biological concept learning and inquiry activities using ChatGPT. It is necessary to shift the evaluation method from quantitative to qualitative to utilize generative AI. Also, it is essential to present a strategy for teaching and learning using AI in consideration of ethical aspects and to develop learners' decision-making capabilities.

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      참고문헌 (Reference)

      1 홍옥수 ; 장진아 ; 임인숙, "인공지능, 사물인터넷, 빅데이터, 확장현실 기술을 활용한 과학탐구의 특징: IDEA형 과학교사연구회를 중심으로" 한국현장과학교육학회 15 (15): 407-422, 2021

      2 장진아 ; 박준형 ; 박지선, "인공지능 챗봇 관련 국내 연구 동향 및 챗봇 활용 현황 분석: 과학 교육에서의 활용을 위한 시사점을 중심으로" 학습자중심교과교육학회 21 (21): 729-743, 2021

      3 Hwang, G. J., "Vision, challenges, roles and research issues of artificial intelligence in education" 1 : 2020

      4 Bonfield, C. A., "Transformation or evolution?:Education 4.0, teaching and learning in the digital age" 5 : 223-246, 2020

      5 Chatterjee, J., "This new conversational AI model can be your friend, philosopher, and guide and even your worst enemy" 4 : 1-3, 2023

      6 Mayr, E. W., "This Is Biology: The Science of the Living World" Harvard University Press 1997

      7 Shamir, G., "Teaching machine learning in elementary school" 31 : 100415-, 2022

      8 World Economic Forum, "Platform for Shaping the Future of the New Economy and Society: Schools of the Future: Defining New Models of Education" 2020

      9 Oord, A. V., "Pixel Recurrent Neural Networks"

      10 Kung T. H., "Performance of ChatGPT on USMLE:Potential for AI-assisted medical education using large language models" 2 : e0000198-, 2023

      1 홍옥수 ; 장진아 ; 임인숙, "인공지능, 사물인터넷, 빅데이터, 확장현실 기술을 활용한 과학탐구의 특징: IDEA형 과학교사연구회를 중심으로" 한국현장과학교육학회 15 (15): 407-422, 2021

      2 장진아 ; 박준형 ; 박지선, "인공지능 챗봇 관련 국내 연구 동향 및 챗봇 활용 현황 분석: 과학 교육에서의 활용을 위한 시사점을 중심으로" 학습자중심교과교육학회 21 (21): 729-743, 2021

      3 Hwang, G. J., "Vision, challenges, roles and research issues of artificial intelligence in education" 1 : 2020

      4 Bonfield, C. A., "Transformation or evolution?:Education 4.0, teaching and learning in the digital age" 5 : 223-246, 2020

      5 Chatterjee, J., "This new conversational AI model can be your friend, philosopher, and guide and even your worst enemy" 4 : 1-3, 2023

      6 Mayr, E. W., "This Is Biology: The Science of the Living World" Harvard University Press 1997

      7 Shamir, G., "Teaching machine learning in elementary school" 31 : 100415-, 2022

      8 World Economic Forum, "Platform for Shaping the Future of the New Economy and Society: Schools of the Future: Defining New Models of Education" 2020

      9 Oord, A. V., "Pixel Recurrent Neural Networks"

      10 Kung T. H., "Performance of ChatGPT on USMLE:Potential for AI-assisted medical education using large language models" 2 : e0000198-, 2023

      11 O'Connor, S., "Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse?" 66 : 103537-, 2022

      12 Vincent-Lancrin, S., "OECD Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots" OECD Publishing 21-47, 2021

      13 Singer, U., "Make-A-Video: Text-to-Video Generation without Text-Video Data"

      14 Menon, H. K. D., "Machine learning approaches in education" 43 : 3470-3480, 2021

      15 Radford, A., "Learning Transferable Visual Models From Natural Language Supervision"

      16 UNESCO, "K-12 AI Curricula: A Mapping of Government-endorsed AI Curricula" UNESCO Publishing 2022

      17 Yang, S. J. H., "Human-centered artificial intelligence in education:Seeing the invisible through the visible" 2 : 110008-, 2021

      18 Ramesh, A., "Hierarchical Text-Conditional Image Generation with CLIP Latents"

      19 Google, "Google Trends"

      20 Wu, A. N., "Generative adversarial networks in the built environment:A comprehensive review of the application of GANs across data types and scales" 223 : 109477-, 2022

      21 Goodfellow, I. J., "Generative adversarial networks" 63 : 139-144, 2020

      22 Goodfellow, I. J., "Generative Adversarial Nets"

      23 Lim, W. M., "Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators" 21 : 100790-, 2023

      24 Bommarito, M. J., "GPT Takes the B,.ar Exam"

      25 Haderer, B., "Education 4.0: Artificial intelligence assisted task-and time planning system" 200 : 1328-1377, 2022

      26 Molenaar, I., "Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots" OECD Publishing 57-77, 2021

      27 Bretag, T., "Contract cheating: A survey of Australian university students" 44 : 1837-1856, 2019

      28 Ministry of Education, "Comprehensive Plan for Fostering Digital Talent" 2022

      29 OpenAI, "ChatGPT: Optimizing Language Models for Dialogue"

      30 Okaibedi, D., "ChatGPT and the rise of generative AI: Threat to academic integrity?" 13 : 100060-, 2023

      31 Kingma, D. P., "Auto-Encoding Variational Bayes"

      32 Sairete, A., "Artificial intelligence:Towards digital transformation of life, work, and education" 194 : 1-8, 2021

      33 Guan, C., "Artificial intelligence innovation in education: A twenty-year datadriven historical analysis" 4 : 134-147, 2020

      34 Ouyang, F., "Artificial intelligence in education: The three paradigms" 2 : 100020-, 2020

      35 Su, J., "Artificial intelligence in early childhood education: A scoping review" 3 : 100049-, 2022

      36 OECD, "Artificial Intelligence in Society" OECD Publishing Paris 2019

      37 Adams, D., "Artificial Intelligence in Higher Education" Boca Raton 169-184, 2022

      38 Holmes, W., "Artificial Intelligence in Education: Promise and Implications for Teaching and Learning" Center for Curriculum Redesign 2019

      39 Henlein, M., "A brief history of AI: On the past, present, and future of artificial intelligence" 61 : 5-14, 2019

      40 Preeti, Kumar, M., "A GAN-based model of deepfake detection in social media" 218 : 2153-2162, 2023

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