DOI QR코드

DOI QR Code

The Effect of AI Learning Program on AI Attitude and Literacy of Gifted Children in Elementary Schools

인공지능 교육 프로그램이 초등영재아동의 인공지능 태도와 소양 향상에 미치는 영향

  • Received : 2021.12.27
  • Accepted : 2022.01.10
  • Published : 2022.02.28

Abstract

Previous studies showed that an improvement in attitude toward a subject affects academic achievement in the subject. The purpose of this study is to confirm that the AI education program causes changes in the AI attitude of gifted children in elementary school, and that the change in attitude leads to a change in literacy. In this study, we conducted an AI education program for gifted children, and analyze the effect of AI education program on the change in AI attitude AI literacy through pre- and post-test. The result of the analysis showed the statistically significant improvement of AI attitudes. In addition, through regression analysis it was found that the change in AI attitude has a statistically significant direct effect on the change in AI literacy. This study has a limitation in that self-evaluation was used to measure AI attitudes and literacy and conducted to a relatively small number of samples. Even though, it was also confirmed that the activities of making an AI programs experienced in real-life can cause changes in AI attitudes and literacy.

본 연구의 목적은 교과에 대한 태도 향상이 해당 교과의 학업성취도에 영향을 미친다는 선행 연구 결과를 바탕으로 인공지능교육 프로그램이 초등영재아동의 인공지능 태도 변화를 야기하고 태도의 변화가 소양의 변화를 이끌어 낸다는 사실을 확인하는 것이다. 본 연구에서는 초등영재아동을 대상으로 인공지능교육을 실시하고, 인공지능에 대한 태도의 변화와 인공지능 소양의 변화에 미치는 영향을 사전-사후 검사를 통하여 분석한 결과, 초등영재아동들의 인공지능 태도와 소양 모두가 통계적으로 유의미하게 향상되었다. 또한 인공지능 태도의 변화가 인공지능 소양 변화에 통계적으로 유의미한 양적 영향을 미친다는 것을 회귀 분석을 통하여 확인할 수 있었다. 본 연구는 인공지능 태도와 소양을 측정하기 위하여 자기 평가를 사용하고, 상대적으로 적은 수의 표본에 적용하였다는 한계를 갖고 있지만 생활 속에서 경험해본 인공지능 프로그램을 직접 만들어보는 활동으로도 인공지능 태도나 소양의 변화를 야기할 수 있다는 것도 확인할 수 있었다.

Keywords

Acknowledgement

본 논문은 2020년도 청주교육대학교 학술연구조성비에 의하여 연구되었음.

References

  1. Ministry of Education(2016). The direction and strategy of mid- to long-term education policies in response to the intelligent information society.
  2. Ministry of Education(2020). Comprehensive plan for information education from 2020 to 2024 (proposal).
  3. Korean Government(2020). A Plan to Spread Ai SW Education for People across the Country.
  4. Kim, K.S.(2019). An Artificial Intelligence Education Program Development and Application for Elementary Teachers. Journal of the Korean Association of Information Education, 23(6), 629-637. https://doi.org/10.14352/jkaie.2019.23.6.629
  5. Kim, K.S. & Park Y.K.(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), 137-147. https://doi.org/10.14352/jkaie.21.1.137
  6. Kim, S.S, Kim, Y.B., Kang, S.J., Kim, H.C. & Shin, J.H.(2007). Korean Education Longitudinal Study 2005(III) : Descriptive Report. Seoul: KEDI.
  7. Kim, S.W. & Lee, Y.(2016). The Effects of Robot Programming on the Attitudes toward Robot of Pre-service Teachers. Journal of Korea Association of Computer Education, 19(6), 91-103. https://doi.org/10.32431/KACE.2016.19.6.009
  8. Kim, S.W. & Lee, Y.(2020a). Development of Test Tool of Attitude toward Artificial Intelligence for Middle School Students. Journal of Korea Association of Computer Education, 23(3), 17-30. https://doi.org/10.32431/KACE.2020.23.3.003
  9. Kim, S.W. & Lee, Y.(2020b). Attitudes toward Artificial Intelligence of High School Students' in Korea. Journal of Korea Convergence Society, 11(12), 1-13. https://doi.org/10.15207/JKCS.2020.11.12.001
  10. Kim, S.W. & Lee, Y.(2020c). Analysis of Attitude toward Artificial Intelligence of Middle School Student. P oceedings of the Korean Society of Computer Information Conference, 28(2), 237-238.
  11. Kim, S.O. & Seo, H.A.(2011). Self-Regulated Learning Ability Related to Science Inquiry Skill and Affective Domain of Science in Middle School Students. Journal of Science Education, 35(2), 307-323. https://doi.org/10.21796/jse.2011.35.2.307
  12. Kim, Y.E. & Kim, H.C.(2019). A Study on Middle School Students' Perception on Intelligent Robots as companions. Journal of Korea Association of Computer Education, 22(4), 35-45. https://doi.org/10.32431/KACE.2019.22.4.004
  13. Kim, Y.(2021). A Longitudinal Study on the Influence of Learning Effort, Attitude, and Achievement Goal on Mathematics Academic Achievement : For elementary and secondary school students. Education of primary school mathematics, 24(1), 1-20. https://doi.org/10.7468/JKSMEC.2021.24.1.1
  14. Kim, C.H.(2007). The Relationships among Physical Education Teachers 'Teaching Behavior, Students' Lesson Satisfaction and Physical Education Attitude. Korean Association of Sport Pedagogy, 14(3), 41-54.
  15. Kim, J., Park, I.Y. & Si, K.(2014). Factors affecting within-school achievement gap and school classification based on the NAEA scale score change. Journal of Educational Evaluation, 27, 1057-1082.
  16. Kim, J., Han, S., Kim, S., Jung, S., Yang, J., Jang, E., & Kim, J.(2015). A Research on the Development of Teaching and Learning Models for SW Education. KERIS CR 2015-35.
  17. Kim, J.H.(2020). Longitudinal Effects of Middle School Students' Korean Learning Attitudes and Perception of Korean Teachers' Teaching Ability on Korean Academic Achievement. Educational Research, 79, 35-53. https://doi.org/10.17253/SWUERI.2020.79..002
  18. Ryu, M. & 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
  19. Ryu, M. & 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
  20. Park, K. R., Choi, H., & Yeon, E.M.(2017). An Analysis of Structural Relationship Among Positive Parenting Attitudes, Attitudes Toward Science, Science Inquiry Skills, and Science Achievements perceived by Middle School Students. Journal of the Korean Association for Science, 37(4), 669-677.
  21. Park, S.H. & Ro, Y.(2011). A Study on the Effects of Self-concept, Attitude and Learning habit on Academic Achievement - Focused on 5th grade of elementary school students -. The Korean School Mathematics Society. 14(2), 199-213.
  22. Park, J. & Shin, N.(2017). Students' perceptions of Artificial Intelligence Technology and Artificial Intelligence Teachers. The Korean Society For The Study Of Teacher Education, 34(2), 169-192.
  23. Shin, S., Ha, M.S., & Lee, J-. K.(2017). High School Students' Perception of Artificial Intelligence: Focusing on Conceptual Understanding, Emotion and Risk Perception. Korean Association For Learner-Centered Curriculum And Instruction, 17, 289-312. https://doi.org/10.22251/jlcci.2017.17.21.289
  24. Shin, S.(2019). Designing the Instructional Framework and Cognitive Learning Environment for Artificial Intelligence Education through Computational Thinking. Journal of the Korean Association of Information Education, 23(6), 639-653. https://doi.org/10.14352/jkaie.2019.23.6.639
  25. Lee, Y.(2019). An Analysis of the Influence of Block-type Programming Language-Based Artificial Intelligence Education on the Learner's Attitude in Artificial Intelligence. Journal of the Korean Association of Information Education, 23(2), 189-196. https://doi.org/10.14352/jkaie.2019.23.2.189
  26. Kim, B.K. & Lee, J.C.(1996). Structural Analysis among Science Achievement, Science Process Skills and Affective Perception toward Science of High School Students. Journal of the Korean Association for Science Education, 16(3), 249-259.
  27. Lee, J & Chung, Y.(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
  28. Chung, K.M.(2021). Development of Explainable Artificial Intelligence Education P rogram Based on AI Literacy. Master Thesis. Graduate School of Education, Gyeongin National University of Education.
  29. Han, S.K. & Ryu, M.(2017). Image Analysis of Artificial Intelligence Recognized by Elementary School Students. Journal of the Korean Association of Information Education, 21(5), 527-535. https://doi.org/10.14352/jkaie.21.5.527
  30. Allport, G. W., Attitudes, in C, Murchison (Ed.)(1935). A handbook of social psychology. Worcester: Clark University Press, 798-844, Wood, J. K. and Fabrigar, L. R. Attitudes.(Recited).
  31. Ajzen, I.(1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t
  32. Fishbein, M., & Ajzen, I.(1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley Publishing Company.
  33. Frey, C. B., & Osborne, M. A. (2017). The future of employment: how susceptible are jobs to computerisation?. Technological Forecasting and Social Change, 114, 254-280. https://doi.org/10.1016/j.techfore.2016.08.019
  34. Glynn, S. M., Brickman, P., Armstrong, N., &Taasoobshirazi, G.(2011). Science motivation questionnaire II: Validation with science majors and nonscience majors. Journal of Research in Science Teaching, 48(10), 1159-1176. https://doi.org/10.1002/tea.20442
  35. Koballa Jr, T. R.(1988). Attitude and related concepts in science education. Science education, 72(2), 115-126. https://doi.org/10.1002/sce.3730720202
  36. Main, R.(2004). The rupture of time: Synchronicity and Jung's critique of modern western culture. Routledge.
  37. Mancini, C., Rogers, Y., Bandara, Coe, T., Jedrzejczyk, L., Joinson, A. N., Price, B. A., Thomas, K. & Nuseibeh, B.(2010). Contravision: exploring users' reactions to futuristic technology. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 153-162.
  38. Moore, R. W., & Sutman, F. X.(1970). The development, field test and validation of an inventory of scientific attitudes. Journal of Research in Science Teaching, 7(2), 85-94. https://doi.org/10.1002/tea.3660070203
  39. Rosenberg, M. J., Hovland, C. I., McGuire, W. J., Abelson, R. P., & Brehm, J. W.(1960). Attitude organization and change: An analysis of consistency among attitude components. Yales studies in attitude and communication. Yale University Press.
  40. Serholt, S., Leite, B. I., Hastie, H., Jones, A., Paiva, A., Vasalou A. & Castellano. G.(2014). Teachers' views on the use of empathic robotic tutors in the classroom. The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 955-960. IEEE.
  41. Solmon, M. A.(2003). Student issues in physical education classes: Attitudes, cognition, and motivation. Student learning in physical education: Applying research to enhance instruction, 2, 147-164.
  42. Wood, W.(2000). Attitude Change: Persuasion and Social Influence. Annual Review of Psychology, 51, 539-570. https://doi.org/10.1146/annurev.psych.51.1.539