참고문헌
- Bray, B., & McClaskey, K. (2014). Make learning personal: The what, who, wow, where, and why. Corwin Press.
- Cevikbas, M., & Kaiser, G. (2022). Promoting personalized learning in flipped classrooms: Systematic review study. MDPI, 14(18), 11393. https://doi.org/10.3390/su141811393
- Chang, H. W., & Nam, J. H. (2021). The use of artificial intelligence in elementary mathematics education. -Focusing on the math class support system "Knock-knock! math expedition"- The Journal of Korea Elementary Education, 31, Supplement, 105-123. http://doi.org/10.20972/kjee.31..202101.105
- Choi, S. Y. (2022). Development of an instructional design model for elementary mathematics classes for elementary mathematics classes based on an artificial intelligence education system [Master's thesis, Seoul National University]. https://dcollection.snu.ac.kr/public_resource/pdf/000000169790_20230708201423.pdf
- Ee, J. H., & Huh, N. (2020). Developing adaptive math learning program using artificial intelligence. East Asian Math. 36(2), 273-289. http://dx.doi.org/10.7858/eamj.2020.018
- Kim, H. K., Park, C. S., Jeong, S. H., & Ko, H. K. (2018). A view on complementary relation of human teacher and AI teacher in future education. Journal of Education & Culture, 24(6), 189-207. https://doi.org/10.24159/joec.2018.24.6.189
- Kim, S. H. (2019). Delphi study on the concept and the teaching and learning methods of meta-affect in mathematics. Journal of Educational Research in Mathematics, 29(2), 321-338. https://doi.org/10.29275/jerm.2019.5.29.2.321
- Kim, S. H. (2021). Development and application of meta-affect learning strategies in mathematics. School Mathematics, 23(4), 593-615. https://doi.org/10.29275/sm.2021.12.23.4.593
- Kim, S. Y., & Cho, M. K. (2022). AI-based educational platform analysis supporting personalized mathematics learning. Communications of Mathematical Education, 36(3), 417-438. https://doi.org/10.7468/jksmee.2022.36.3.417
- Kim, T. R., Ryu, M. Y., & Han, S. W. (2020). Framework research for AI education for elementary and middle school students. Journal of The Korean Association of Artificial Intelligence Education, 1(1), 31-42.
- Lee, H. G. (2023). Development of data-based personalized instruction design principals using artificial intelligence education system: Focusing on elementary school mathematics [Master's thesis, Seoul National University]. https://dcollection.snu.ac.kr/public_resource/pdf/000000176418_20230708201501.pdf
- Lee, J. H., & Lee, J. S. (2009). The relationship between metacognition and self-regulated learning abilities of gifted students: The mediating effect of self-determined motivation. Secondary Education Institute, 57(1), 89-114. https://doi.org/10.25152/ser.2009.57.1.89
- Lee, W. S., Chun, J. Y., Lee, Y. M., Park, K. S., & Parck, S. R. (2022). Contrastive learning for knowledge tracing. WWW '22: Proceedings of the ACM Web Conference 2022. 2330-2338. https://doi.org/10.1145/3485447.3512105
- Lim, M. I., Kim, H. M., Nam, J. H., & Hong, O. S. (2021). Exploring the application of elementary mathematics supporting system using artificial intelligence in teaching and learning. School Mathematics, 23(2), 251-270. https://doi.org/10.29275/sm.2021.06.23.2.251
- Lim, W., & Park, M. M. (2021). AI-based mathematics education: A review of issues in international research. Korean Association of Learner-Centered Curriculum and Instruction, 21(14), 621-635. https://doi.org/10.22251/jlcci.2021.21.14.621
- Ministry of Education (2022). 2022 Revised curriculum: General introduction. Ministry of Education.
- Office of Educational Technology U.S. Department of Education (2010). Transforming American education: Learning technology plan. retrieved from https://www.ed.gov/sites/default/files/netp2010.pdf
- Park, M. G. (2020a). The trends of using artificial intelligence in mathematics education. The Journal of Korea Elementary Education, 31(Supplement), 91-102. https://doi.org/10.20972/kjee.31..202008.91
- Park, M. G. (2020b). Applications and possibilities of artificial intelligence in mathematics education. Communications of Mathematical Education, 34(4), 545-561. https://doi.org/10.7468/jksmee.2020.34.4.545
- Peng, H., Ma, S., & Spector, J. M. (2019). Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment. Smart Learning Environments, 6(1), 9. https://doi.org/10.1186/s40561-019-0089-y
- Seong, T. J., & Si, K. J. (2006). Research methodology. Hakjisa.
- Shin, D. J. (2020). Artificial intelligence in primary and secondary education: A systematic review. Journal of Educational Research in Mathematics, 30(3), 531-552. https://doi.org/10.29275/jerm.2020.08.30.3.531
- So, Y. H. (2007). Does choice improve motivation to learn? -Current issues in research on the effects of choice and its implications- The Korean Journal of Educational Methodology Studies, 19(1), 77-96. https://doi.org/10.17927/tkjems.2007.19.1.77
- Son, B. E., & Ko, H. K. (2021). Exploring the conceptual elements and meaning of meta-affect in mathematics learning. Communications of Mathematical Education, 35(4), 359-376. https://doi.org/10.7468/jksmee.2021.35.4.359
- Wang, S., Christensen, C., Cui, W., Tong, R., Yarnall, L., Shear, L., & Feng, M. (2020). When adaptive learning is effective learning: comparison of an adaptive learning system to teacher-led instruction. Interactive Learning Environments, 31(2), 793-803. https://doi.org/10.1080/10494820.2020.1808794