References
- Cho, H. K., Park, K. P., Han, J. H., Min, D. G., & Ko, K W. (2008) Education+Robots: The vision and the action plans. Korean Institute of Information Scientists and Engineers, 26(4), 55-64.
- Cho, Y. J., & Jung, E. C. (2022). Shybot: A robot that forms attachments based on intimacy. Proceedings of Hci Korea 2022, 831-832.
- Global Market Trends Report. Smart Learning Market. (2021). R&D Special Zone Promotion Foundation.
- Han, J. H., & Jo, M. H. (2009). Robot-Assisted learning in r-learning. Korean Association of Information Education, 13(4), 497-508.
- Hang, Y. J., Kuen, Y. J., & Lee, J. E. (2020). DesignSinking's application to public libraries: Defining problems and guidelines for collecting feedback from non-designers during the design process, 409-413.
- Yu, I. H., Bae, Y. K., Park, D. R., An, J. M., & Kim, W. Y. (2020). A study on development and application of artificial intelligence education program using robot, Korean Association of Information Education, 24(5), 443-451.
- Yu, H. K. (2003). About the terminating endings of concatenations, Korean Language Society, 261, 123-148. DOI: 10.22557/HG.2003.09.261.123
- Yu, K. J., Kim, M. K., Lee, J. S., & Han, M. O. (2013). An analysis on early childhood teacher's awareness on digital equipment, smart equipment and smart e-book. Korean Open Early Childhood Education Research, 18(3), 43-70.
- Ju, H. Y., Lee, E. J., Lee, M. S., Lee, E. J., & Park, H. (2020) Individuals' personalities and their expectations of forming intimacy with AI robots. 912-925.
- Ji, S., Park, S. K., & Lee, S. l. (2021). Our current training, Kyobo Securities Research.
- Jung, S. H. (2012). Development direction of emotional contents through analysis of successful cases from applying emotional technology. Science of Emotion & Sensibility, 15(1), 121-132.
- Kim, S. Y., & Hong, H. J. (2021). Analysis of public perception of high school credit system through big data. Educational Methods Research, 33(1), 179-203.
- Kim, H. H., Lee, J. K., & On, Y. (2023). Analyzing the effects of undergraduate students' participation in a learning method program on learning ability and attitude change: The case of University A. Korean Journal of Educational Administration, 41(1), 531-556. DOI: 10.22553/keas.2023.41.1.531
- Keung, A. R., & Hang, Y. Y. (2023). The effect of customer emotions on medical staffs feedback on customer complaint behavior and customer loyalty. Enterprise and Innovation Research, 46(1), 1-15.
- Kung, D. J., & Park, E. W. (2016). The impact of programming-based smartbot learning on elementary school students' creativity. The Korean Society for the Gifted and Talented, 15(4), 123-140.
- Ko, Y. S., & Lee, H. A. (2012). Determining affinity by analyzing sentences on social media. 219-223.
- Kim, K. E., & Kang, Y. C., & Nam, S. Y., & Kim, H. J. (2008). Study on the implementation of an age & sex classification system based speech at intelligent service robots. Journal of Semiconductor Technology and Science, 957-958.
- Kim, J. W. (2015). Comparison of Chang Sang-Ho's endogenous theory of education and rogers' person-centered counseling theory: focusing on the structures of education and counseling. Korean Educational Principles Research, 22(2), 1-33
- Kwon, J. Y., & Ju, D. Y. (2021) Analyzing the Public Perception of Space in the Untact Era Through Social Media Big Data. 396-399.
- Kim, E, M., & Yun, J. Y. (2017). A study of interaction design for smart learning feedback to promote learning effectiveness. Socity of Design Convergence, 16(4), 127-137.
- Lee, H. Y. (2023) A study on the cultural industry in the post-corona era: A recommendation on the applicability of music education contents using edutech. Korean Society of Culture Industry, 23(1), 13-12, DOI: 10.35174/JKCI.2023.03.23.1.13
- Lee, Y. J., & Yoon, J. H. (2014). A study on utilizing sns big data in the tourism studies: Based on an analysis of key words for tourism information search. Korea Tourism Research Association, 28(3), 5-14.
- Lee, S. S., Yoo, I. H., & Kim, J. H. (2020). An analysis of public perception on Artificial Intelligence(AI) education using big data: Based on news articles and twitter. Journal of Digital Convergence, 18(6), 9-16.
- Noh, K. S., Ju, S. N., & Jung, J. T. (2011). An exploratory study on concept and realization conditions of smart learning. The Society of Digital Policy & Management, 9(2), 79-88.
- No, W. H., Lee, H. J., & Han, K. S. (2017). A study of HTML5 service quality on usage intention of smart learning. Digital Contents Society, 18(5), 869-879.
- Oh, J. H., & Park, Y. W. (2019). A study on pre-schoolers' smart media use and parents' perception. Korea Institute of Child Care and Education, 13(3), 3-26.
- Ru, C. R., Kim, S. H., & Kim, J. W. (2020). A comparative experience study of intelligent personal assistants: Siri, Google Assistant, and Bixby. Korean Society for Emotion and Sensibility, 23(1), 69-78.
- UNESCO. (2019). Classroom revolution through SMART education in the Republic of Korea: Case study by the UNESCO-Fazheng project on best prac -tices in mobile learning. United Nations Educational, Scientific and Cultural Organization. 1-26.
- http://www.wikipedia.org
- https://www.mckinsey.com/
- https://www.mordorintelligence.kr/industry-reports/educational-robot-mark