References
- Aria, M., & Cuccurullo.(2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
- Bae, Y.I., Shin, H.R.(2016). A Study on Convergence and Cooperation Patterns of Artificial Intelligence Technology. Gyeonggi Research Institute, 1-115.
- Chang, Y.J.(2017). The Direction of Data Science Education in the Fourth Industrial Revolution Era: Focusing in Understanding of Artificial and Data Initiative. Journal of Integrated Humanities, 9(1). 155-180.
- Chun, B.H., Park, K.B., Chun, M.R.(2008). An Analysis of the Attitude Toward Science, Achievements Motivation, and the Peer Relationship, and Parents' Attitudes to Science Gifted Education. Journal of Gifted/Talented Education, 18(3), 443-464.
- Glenn, J. C., Gordon, T. J. and Florescu, F.(2014). The state of the future. Washington, D.C.: The Millennium Project.
- Han, D.S.(2016). University Education and Contents in The Fourth Industrial Revolution. Korea Humanities Content Society, 42, 9-24. https://doi.org/10.18658/humancon.2016.09.42.9
- Han, K.S., An, D.G.(2018). Exploring the Direction of Science-Gifted Education in the 4th Industrial Revolution Era. The Journal of the Korean Society for the Gifted and Talented, 16(4), 5-27.
- Hong, J.M.(2017). Education for the future of the 4th Industrial Revolution Edutech. Seoul: Bookisbob.
- Hood, N., Littlejohn, A., & Milligan, C.(2015). Context counts: How learner's contexts influence learning in a MOOC. Computers & Education, 91, 83-91. https://doi.org/10.1016/j.compedu.2015.10.019
- Hutchins, E.(1995). Cognition in wild. Cambridge, MA: MIT Press.
- Jeong, Y.J.(2017). An Analysis of the Perception of University Student Learning Styles in accordance with a Hyper-Connected Society. The Journal of Educational Research, 15(4), 233-256.
- Jho, H.G.(2017). The Changes of Future Society and Educational Environment according to the Fourth Industrial Revolution and the Tasks of School Science Education. Journal of Korean Elementary Science Education, 36(3), 286-301. https://doi.org/10.15267/keses.2017.36.3.286
- Jho, H.G.(2017). The Changes of Higher Education and the Tasks of General Education according to the Fourth Industrial Revolution. Korean Journal of General Education, 11(2), 53-89.
- Jho, H.K.(2018). Exploration of Predictive Model for Learning Outcomes of Students in the E-learning Environment by Using Machine Learning. Journal of Learner-Centered Curriculum and Instruction, 18(21), 553-572. https://doi.org/10.22251/jlcci.2018.18.21.553
- Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., & Hall, C.(2016). NMC horizon report: 2016 higher education edition. The New Media Consortium, Austin.
- Joo, Y.J., Chung, Y.L., Pyo, J.Y.(2011). The Effectiveness of Creative Problem Solving (CPS) Learning on Student Science Interest, Science Process Skills, and Science Achievement. Journal of Reasearch in Curriculum & Instruction, 15(3), 657-667. https://doi.org/10.24231/rici.2011.15.3.657
- Kim, J.W.(2017). A Study on the New Educational Paradigm of the Age of Artificial Intelligence. Kyungpook National University.
- Kim, K.O., Hong, Y. S.(2015). The Science Learning Motivation and Academic Stress and Stress Coping Styles of the Elementary Students with Low Science Achievement. Journal of Korean Elementary Science Education, 34(4), 447-457. https://doi.org/10.15267/keses.2015.34.4.447
- Lee, G.G., Kim, H.B., Ha, H.S., Hong, H.G.(2018). Exploratory Research on Automating the Analysis of Scientific Argumentation Using Machine Learning. Journal of the Korean Association for Research in Science Education, 38(2), 219-234.
- Lee, J.Y., Seo, H.J.(2018). Analysis of Future Education Trends Using Semantic Network Analysis. Journal of Korean Association for Educational Information and Media, 24(4), 649-678. https://doi.org/10.15833/KAFEIAM.24.4.649
- Lee, S.H., Kim, Y.S.(2018). Artificial Intelligence in School. Communications of the Korean Institute of Information Scientists and Engineers, 36(11), 44-50.
- Lee, S.J., Lee, S.J.(2012). A New Direction of Undergraduate General Education : Through a Case Study of Competence-based Education. Korean Journal of General Education, 6(2), 11-42.
- Linn, M.(2003). Technology and science education: star- ting points, research programs, and trends. International Journal of Science Education, 25(6), 727-758. https://doi.org/10.1080/09500690305017
- Na, J.Y., Jang, B.G.(2017). The Perspectives of Pre-service Elementary Teachers on Science Education of Future. Journal of Korean Elementary Science Education, 36(1), 85-94. https://doi.org/10.15267/keses.2017.36.1.085
- Oh, I.S.(2017). Machine learning. Seoul: Hanbit acdemy.
- Ryu, M.Y., Han. S.K.(2018). The Educational Perception on Artificial Intelligence by Elementary School Teachers. Journal of The Korean Association of Information Education, 22(3), 317-324. https://doi.org/10.14352/jkaie.2018.22.3.317
- Ryu, M.Y., Han, S.K.(2019). AI Education Programs for Deep-Learning Concepts. Journal of The Korean Association of Information Education, 23(6), 583-590. https://doi.org/10.14352/jkaie.2019.23.6.583
- Shim, S.M., Shin, Y.J.(2017). A Study on Changes in Learners' Recognition of 21st Century Learner Competencies through Science-centered STEAM Class. Journal of Korean Elementary Science Education, 36(2), 143-154. https://doi.org/10.15267/keses.2017.36.2.143
- Yoon, S.K.(2018). Social Studies Education in the Era of AI: Making a Relationship between Human and AI. Research in Social Studies Education, 25(2), 1-20.
- Youn, J.Y., Kim, Y.M., So, J.H., Kim, Y. H.(2019). A Study on the Media Art STEAM Education Program Using Data Science and Artificial Intelligence. The Korean Society of Science & Art, 37(5), 265-276. https://doi.org/10.17548/ksaf.2019.12.30.265
Cited by
- 빅데이터 기반의 AI기초교양교육이 학부생의 정의적 태도에 미치는 영향 vol.24, pp.5, 2020, https://doi.org/10.14352/jkaie.2020.24.5.463
- Trends in Civic Engagement Disaster Safety Education Research: Systematic Literature Review and Keyword Network Analysis vol.13, pp.5, 2021, https://doi.org/10.3390/su13052505