References
- Schwab, K. (2017). The fourth industrial revolution. Currency.
- Ministry of Science, ICT & Future Planning. (2016). Mid- to long-term master plan for an intelligent information society in response to the fourth industrial revolution. Retrieved from https://www.korea.kr/archive/expDocView.do?docId=37384
- S. W. Kim & Y. Lee. (2016). Development of a Software Education Curriculum for Secondary Schools. Journal of The Korea Society of Computer and Information, 21(8), 127-141. https://doi.org/10.9708/jksci.2016.21.8.127
- Ministry of Science and ICT. (2019). National Strategy for Artificial Intelligence. Retrieved from https://www.msit.go.kr/web/msipContents/contentsView.do?cateId=_policycom2&artId=2405727
- Ministry of Education. (2020). Informatics education master plan. Retrieved from https://www.moe.go.kr/boardCnts/view.do?boardID=294&boardSeq=80718&lev=0&searchType=null&statusYN=W&page=1&s=moe&m=020402&opType=N
- S. Kim, S. Kim & H. Kim. (2019). Analysis of International Educational Trends and Learning Tools for Artificial Intelligence Education. The Proceeding of Korean Association of Computer Education, 23(2), 25-28.
- S. W. Kim & Y. Lee. (2020). Development of Test Tool of Attitude toward Artificial Intelligence for Middle School Students. The Journal of Korean Association of Computer Education, 23(3), 17-30. https://doi.org/10.32431/KACE.2020.23.3.003
- J. Lee & Y. Chung. (2014). An Analysis of Structural Relationship Among the Attitude Toward Science, Science Motivation, Self-Regulated Learning Strategy, and Science Achievement in Middle School Students. Journal of the Korean Association for Science Education, 34(5), 491-497. https://doi.org/10.14697/jkase.2014.34.5.0491
- K. Park, H. Choi, & E. M. Yeon. (2017). An Analysis of Structural Relationship Among Positive Parenting Attitudes, Attitudes Toward Science, Science Inquiry Skills, and Science Achievements perceived by Middle School Student. Journal of the Korean Association for Science Education, 37(4), 669-677. https://doi.org/10.14697/jkase.2017.37.4.669
- C. Mancini, Y. Rogers, A. K. Bandara, T. Coe, L. Jedrzejczyk, A. N. Joinson, B. A. Price, K. Thomas & B. Nuseibeh. (2010). Contravision: exploring users' reactions to futuristic technology. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 153-162).
- S. Serholt, Barendregt, I. Leite, H. Hastie, A. Jones, A. Paiva, A. Vasalou & G. Castellano. (2014). Teachers' views on the use of empathic robotic tutors in the classroom. In The 23rd IEEE International Symposium on Robot and Human Interactive Communication (pp. 955-960). IEEE.
- S. W. Kim & Y. Lee. (2016). The Effects of Robot Programming on the Attitudes toward Robot of Pre-service Teachers'. The Journal of Korean Association of Computer Education, 19(6), 91-103. https://doi.org/10.32431/KACE.2016.19.6.009
- T. W. Jenkins. (2003). A comparison of the problem-solving model in conjunction with curriculum based measurement and the traditional approach in special education eligibility determination. A Dissertation Presented to The Faculty of the Curry School of Education University of Virginia.
- B. S. Bloom. (1956). Taxonomy of educational objectives: The classification of educational goals. Cognitive domain.
- J. Lee & V. J. Shute. (2009). THE INFLUENCE OF NONCOGNITIVE DOMAINS ON ACADEMIC ACHIEVEMENT IN K‐12. ETS Research Report Series, 2009(2), i-51. https://doi.org/10.1002/j.2333-8504.2009.tb02178.x
- R. V. Wagner & J. Sherwood. (1969). The study of attitude change. Belmont. CA : Brooke/Cole.
- M. Fishbein & I. Ajzen. (1975). Intention and Behavior: An introduction to theory and research.
- L. R. Aiken. (1999). Personality assessment methods and practice, 3rd rev. Hogrefe & Huber Publishers.
- M. A. Al-Khaldi & I. M. Al-Jabri. (1998). The relationship of attitudes to computer utilization: New evidence from a developing nation. Computers in human behavior, 14(1), 23-42. https://doi.org/10.1016/S0747-5632(97)00030-7
- E. J. Rozell & W. L. Gardner III. (2000). Cognitive, motivation, and affective processes associated with computer-related performance: a path analysis. Computers in Human behavior, 16(2), 199-222. https://doi.org/10.1016/S0747-5632(99)00054-0
- T. Levine & S. Donitsa-Schmidt. (1997). Commitment to learning: Effects of computer experience, confidence and attitudes. Journal of educational computing research, 16(1), 83-105. https://doi.org/10.2190/QQ9M-4YG0-PXY2-HMMW
- T. Nomura, T. Suzuki, T. Kanda & K. Kato. (2006). Measurement of negative attitudes toward robots. Interaction Studies, 7(3), 437-454. https://doi.org/10.1075/is.7.3.14nom
- R. V. Krejcie & D. W. Morgan. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610. https://doi.org/10.1177/001316447003000308
- Korean educational statistics service. (2020). 2020 Status of schools by school and class. Retrieved from kess.kedi.re.kr
- S. W. Kim & Y. Lee. (2018). Pre-Service Teachers' Attitudes toward Robots: Analysis of Difference According to Variables. The Journal of Korean Association of Computer Education, 21(4), 21-27. https://doi.org/10.32431/KACE.2018.21.4.003
- S. W. Kim & Y. Lee. (2020). An Analysis of Pre-service Teachers' Learning Process in Programming Learning. International Journal on Advanced Science Engineering and Information Technology, 10(1), 58-69. https://doi.org/10.18517/ijaseit.10.1.5723