References
- An, B. J. (2018). [Myeongkyung Honorary Reporter] Edutech Big Bang AI teacher comes out within five years. Maeil Economy 7, Retried October 4, 2018, from https://www.mk.co.kr/news/business/view/2018/10/616768/
- Aoun, J. E. (2017). ROBOT-PROOF: Higher education in the age of artificial intelligence. Cambridge, MA: MIT Press.
- Baek, C. H., Choi, J. H. & Lim, S. W. (2018). Review and suggestion of characteristics and quality measurement items of artificial intelligence service. Journal of the Korean Society for Quality Management, 46(3), 677-694. https://doi.org/10.7469/JKSQM.2018.46.3.677
- Cha, Y. R. (2018). Artificial Intelligence (AI) strategy in the advertising and media industry: In-Depth interview. The Journal of the Korea Contents Association, 18(9), 102-115. https://doi.org/10.5392/JKCA.2018.18.09.102
- Choi, M, Y. & Lee, T. W. (2019). Predicting the state of AI education and changing roles of schools and teachers. Paper Presented at the Korean Society for Computer Education Conference, 23(2), 85-88.
- Choi, S. & Kim, H. B. (2019). Investigate the application of biology class reflecting the characteristics of virtual reality. Biology Education, 47(3), 263-277. https://doi.org/10.15717/bioedu.2019.47.3.263
- Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
- Dewey, J. (1986). Experience and education. In The educational forum (Vol. 50, No. 3, pp. 241-252). Taylor & Francis Group.
- Follows, J. (2019). The test of China's future [How AI is made in China]. Translator: Lee Woo-hyun, Seoul: Serene.
- Fry, R. & Kolb, D. (1979). Experiential learning theory and learning experiences in liberal arts education. New Directions for Experiential Learning, 6, 79.
- Kakao Foreign Policy Team (2018). KAKAO AI REPORT. Seoul: Book by Book.
- KIBS Editorial Department (2019). "Fostering AI convergence talent with the easiest AI education in the world": [Interview] Prof. Chang Mook Kang, Dean of the department of AI convergence, Global Cyber University. Brain, 78, 34-37.
- Kim, C. (1996). A study of the development of procedures for selecting science-teaching-learning models that are appropriate for class content or activities. Cheongju National University of Science Research Institute, 17, 143-170.
- Kim, J. H. (2016). Fourth industrial revolution, education in the age of artificial intelligence. STSS Conference on Sustainable Science, 21-29.
- Kim, K. (2015). A self-regulated learning model development in computer programming education. Journal of The Korean Association of Information Education, 19(1), 21-30. https://doi.org/10.14352/jkaie.2015.19.1.21
- Kim, K. & Park, Y. (2017). A development and application of the teaching and learning model of artificial intelligence education for elementary students. Journal of The Korean Association of Information Education, 21(1), 139-149. https://doi.org/10.15833/KAFEIAM.23.1.139
- KOSAF (2019). 2019 AI convergence education conference. 2019 AI Convergence Education Conference Policy Kit.
- Kwon, Y. J., Jung, J. S., Shin, D. H., Lee J. K., Lee I. S. & Byun J. H. (2011). Generation and evaluation of scientific knowledge. Seoul: Governor.
- Lee, J. H. & Huh, N. (2018). Exploring the relationship between changes in mathematics education and artificial intelligence. E-Mathematics Education Proceedings, 32(1), 23-36.
- Lee, S. H. & Kim, Y. S. (2018). Artificial intelligence appeared in school. Korean Information Science Society, 36(11), 44-50.
- Lim, C. S. (2012). Development of an instructional model for brain-based evolutionary approach to creative problem solving in science. Biology Education, 40(4), 429-452. https://doi.org/10.15717/bioedu.2012.40.4.429
- Lim, C. S. (2014). Develop and apply scientific creativity assessment formulas. Elementary Science Education, 33(2), 242-257. https://doi.org/10.15267/keses.2014.33.2.242
- Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., Laak, J. A. V. D., Ginneken, B. V. & Sanchez, C. I. (2017). A survey on deep learning in medical image analysis. Medical Image Analysis, 42, 60-88. https://doi.org/10.1016/j.media.2017.07.005
- Maderer, J. (2016). Artificial intelligence course creates AI teaching assistant. Georgia Tech News Center, 9. Retried May 9, 2016, from http://www.news.gatech.edu/2016/05/09/artificial-intelligence-course-creates-ai-teaching-assistant.
- Ministry of Education (2015). Practical arts (Technology & Home)/information curriculum. Ministry of Education.
- Ministry of Education (2019). Science 6-2 teacher's guide. Visang Education.
- Minsky, M.(1968). Semantic information processing. Cambridge, MA: MIT Press,
- Park, H., Bae, S., & Park, J. (2014). The likert scale attention points applied to research on attitude and interests on science education. Journal of the Korean Association for Science Education, 34(4), 385-391. https://doi.org/10.14697/jkase.2014.34.4.0385
- Park, J. H. & Shin, N. M. (2017). Analysis of awareness of artificial intelligence technology and artificial intelligence teachers: From the elementary, middle, and high School students' perspective. Korean Teacher Education Research, 34(2), 169-192.
- Russell, S. & Bohannon, J. (2015). Artificial intelligence. Fears of an AI pioneer. Science, 349(6245), 252. https://doi.org/10.1126/science.349.6245.252
- Ryu, M. Y. & Han, S. G. (2018). Educational perceptions of artificial intelligence in elementary school teachers. Journal of Information and Education, 22(3), 317-324.
- Shin, D. G. (2019). Explore how to use AI chatbots to improve your English writing skills. Teacher Education, 35(1), 41-55.
- Shin, H. W. (2018). ‘Characteristics' and ‘Goals' of foreign languages in the age of artificial intelligence. Foreign Language Education, 25(4), 133-157. https://doi.org/10.15334/FLE.2018.25.4.133
- Shin, S. I., Ha, M. S. & Lee, J. K. (2018). Exploring elementary school students' image on artificial intelligence. Elementary Science Education, 37(2), 126-146.
- Shin, W. (2016). The effect of the elementary science inquiry classes on pre-service elementary teachers' attitude toward science, perception of science teaching-learning and personal science teaching efficacy. Biology Education, 44(3), 555-568. https://doi.org/10.15717/bioedu.2016.44.3.555
- Shin, W. & Shin, D. (2014). The development of intervention program for enhancing elementary science-poor students' basic science process skills. - Focus on eye movement analysis -. Journal of the Korean Association for Science Education, 34(8), 795-806. https://doi.org/10.14697/jkase.2014.34.8.0795
- Sohn, Y. H. (2016). Legal issues in the age of artificial intelligence. Law and Policy Studies, 16(4), 305-329.
- Song, J. W., Kang, S. J., Kwak, Y. S., Kim, D. G., Kim, S. H., Na, J. Y., Do, J. H., Min, B. G., Park, S. C., Bae, S. M., Son, Y., Son, J. W., Oh, P. S., Lee, J. K., Lee, H. J., Lim, H., Jung, D. H., Jung, Y. J., Jung, J. H. & Kim, J. H. (2019). Future generation science education standard. Korea Creative Foundation.
- Wilson, H. J. & Daugherty, P. R. (2018). Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 96(4), 114-123.
- Yoon, S. G. (2018). Social studies education in the age of artificial intelligence: Relationship with artificial intelligence. Social Studies Education Research, 25(2), 1-20.