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Pre-service Teachers' Education Needs for AI-Based Education Competency

  • Received : 2023.09.12
  • Accepted : 2023.10.11
  • Published : 2023.10.30

Abstract

This study aims to analyze the perceptions and educational needs of pre-service teachers for the use of Artificial Intelligence (AI) in education. To this end, we collected survey data from 25 undergraduate students who were enrolled in a teacher education college in Seoul. The purpose of the survey was to measure the importance and current performance for instructional AI use based on the technological, pedagogical, and content knowledge (TPACK) framework, and to explore the priority of educational needs using Borich's needs analysis and the Locus for Focus model. The results of the study confirmed that Ethics and TPK competencies are prioritized. Additionally, the results indicated a high demand for practical knowledge that can be implemented in the practice of education. Based on the results, it is necessary to develop a teacher education program that focuses on ethical aspects and teaching strategy competencies in AI-based education.

Keywords

Acknowledgement

This research was funded by a 2022 Research Grant from Sangmyung University.

References

  1. Ayanwale, M. A., Sanusi, I. T., Adelana, O. P., Aruleba, K. D., & Oyelere, S. S. (2022). Teachers' readiness and intention to teach artificial intelligence in schools. Computers and Education: Artificial Intelligence, 3, 100099. https://doi.org/10.1016/j.caeai.2022.100099
  2. Baek, J. N., & Kim, S. R. (2020). Development and validation of future teacher competency diagnostic scale for pre-service teachers. Journal of the Korea Convergence Society, 11(2), 331-339. http://doi.org/10.15207/JKCS.2020.11.2.331
  3. Borich, G. D. (1980). A needs assessment model for conducting follow-up studies. Journal of Teacher Education, 31(3), 39-42. https://doi.org/10.1177/002248718003100310
  4. Celik, I., Dindar, M., Muukkonen, H., & Jarvela, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. Tech Trends, 66(4), 616-630. https://doi.org/10.1007/s11528-022-00715-y
  5. Celik, I. (2023). Towards Intelligent-TPACK: An empirical study on teachers' professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education. Computers in Human Behavior, 138, 107468. https://doi.org/10.1016/j.chb.2022.107468
  6. Cho, D., Y. (2009). Exploring how to set priority in need analysis with survey. The Journal of Research in Education, 35(8), 165-187.
  7. Choi, J. W., Jun, S. J., Kim, S. A., & Park, J. H. (2022). AI-TPACK model design for cultivating AI convergency teaching professionalism of pre-service teachers. The Journal of Korean Association of Computer Education, 25(2), 79-89. https://doi.org/10.32431/kace.2022.25.2.007
  8. Dexter, S. (2023). Developing faculty EdTech instructional decision-making competence with principles for the integration of EdTech. Educational Technology Research and Development, 71(1), 163-179. https://doi.org/10.1007/s11423-023-10198-0
  9. Eom, M. R., Shin W. S., & Han, I. S. (2011). A survey on the differences of preservice teachers' perception of the technology, pedagogy, and content knowledge (TPACK). The Journal of Korean Teacher Education, 28(4), 141-165. https://doi.org/10.24211/tjkte.2011.28.4.141
  10. Heo, H. O., & Kang, S. C. (2023). Teacher competencies for designing artificial intelligence-integrated education. The Journal of Korean Association of Computer Education, 26(2), 89-100. https://doi.org/10.32431/kace.2023.26.2.008
  11. Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. The Center for Curriculum Redesign.
  12. Hong, S. M., & Han, H. J. (2023). Analyzing perceptions and educational needs of elementary school teachers for using chat GPT in education. The Journal of Korean Association of Computer Education, 26(4). 51-63. https://doi.org/10.32431/kace.2023.26.4.006
  13. Jeon, I. S., Jun, S. J., & Song, K. S. (2020). Teacher training program and analysis of teacher's demands to strengthen artificial intelligence education. Journal of The Korean Association of Information Education (JKAIE), 24(4). 279-289. http://dx.doi.org/10.14352/jkaie.2020.24.4.279
  14. Kim, B. H. (2022). Analysis of perception, requirement for AI education and AI teaching efficacy for secondary pre-service teacher. Journal of Learner-Centered Curriculum and Instruction, 22(22), 1001-1016. http://dx.doi.org/10.22251/jlcci.2022.22.22.1001
  15. Kim, S. A., Kim, S. W., Park, C. S., Hong, J. Y., & Park, J. H. (2023). Development of an AI competency measurement tool for pre-service teachers to enhance expertise in digital education. The Journal of Korean Association of Computer Education, 26(4), 21-32. http://dx.doi.org/10.32431/kace.2023.26.4.003
  16. Ko, H. & Na, J. H. (2018). An analysis of the mediating effect of self-efficacy on the perception relationship between teacher core competency and teaching professionalism perceived by pre-service teachers. Journal of Learner-Centered Curriculum and Instruction, 18(18), 197-220. http://dx.doi.org/10.22251/jlcci.2018.18.18.197
  17. Kolchenko, V. (2018). Can modern AI replace teachers? Not so fast! Artificial intelligence and adaptive learning: Personalized education in the AI age. HAPS Educator, 22(3), 249-252. https://doi.org/10.21692/haps.2018.032
  18. Lee, C. H. (2022). Analysis of the educational needs of elementary school teachers' teaching competency for artificial intelligence education. The Journal of Education, 42(2), 131-148. https://doi.org/10.25020/je.2022.42.2.131
  19. Lee, D., Lee, B., & Lee, E. (2022). Competencies and educational tasks for teachers in education using AI. The Journal of Educational Information and Media, 28(2), 415-444. http://dx.doi.org/10.15833/KAFEIAM.28.2.415
  20. Lee, H. W., & Jo, M. H. (2012). Teacher competencies and educational needs assessment of the students in the college of education by grade levels. The Journal of Korean Teacher Education, 29(4), 521-540. http://dx.doi.org/10.24211/tjkte.2012.29.4.521
  21. Lee, O. H., & Jang, S. S. (2018). Analysis of teaching skill development by teaching career. Journal of Korean Association for Educational Information and Media, 24(4), 755-777. http://dx.doi.org/10.15833/KAFEIAM.24.4.755
  22. Lee, S. Y. (2020). Elementary school teachers' understanding and awareness of AI education. Korean Journal of Elementary Education, 31(102), 15-31. http://dx.doi.org/10.20972/kjee.31..202008.15
  23. Lee, Y. D., & Kwon, H. L. (2019). A study on pre-service teachers' perception of the pedagogical content knowledge in the secondary school. CNU Journal of Educational Studies (CNUJES), 40(4), 31-52. http://dx.doi.org/10.18612/cnujes.2019.40.4.31
  24. Ministry of Education of the Republic of Korea. (2022, August 11). Ethical principles for artificial intelligence in education. https://www.moe.go.kr/boardCnts/viewRenew.do?boardID=294&lev=0&statusYN=W&s=moe&m=020402&opType=N&boardSeq=92297
  25. Ministry of Education of the Republic of Korea. (2023, March 24). Detailed criteria for obtaining teacher qualifications for kindergartens and primary, secondary, and special schools. https://www.moe.go.kr/boardCnts/viewRenew.do?boardID=327&lev=0&statusYN=W&s=moe&m=0305&opType=N&boardSeq=94318
  26. Ministry of Education of the Republic of Korea. (2023, February 23). Digital-based education innovation plan. https://www.moe.go.kr/boardCnts/viewRenew.do?boardID=72769&boardSeq=94551&lev=0&searchType=null&statusYN=W&page=1&s=moe&m=0315&opType=N
  27. Mink, O. G., Shultz, J. M., & Mink, B. P. (1991). Developing and managing open organizations: A model and method for maximizing organizational potential. Somerset Consulting Group.
  28. Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
  29. Moon, E. K., Shin, W. S., & Park, I. W. (2016). An analysis of pre-service teachers' perception on the core competence of teachers. The Korea Educational Review, 22(1), 183-209.
  30. Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world. Educational Technology Research and Development, 71(1), 137-161. https://doi.org/10.1007/s11423-023-10203-6
  31. Park, C. S., Kim, S. A., Kim, S. W., Hong, J. Y., & Park, J. H. (2023). Developing an elementary pre-service teacher education program based on AI-TPACK model for designing artificial intelligence convergence lessons. The Journal of Korean Association of Computer Education, 26(3), 15-29. https://doi.org/10.32431/kace.2023.26.3.002
  32. Park, G. Y. (2022). Development and validation of teaching competence scale for teachers' artificial intelligence convergence education [Unpublished master's thesis]. Ewha Womans University.
  33. Park, G. Y., Hwang, S. M., & Lee, J. M. (2023). Development and validation of teaching competence scale for teachers' artificial intelligence convergence education. Journal of Educational Technology, 39(1), 315-344. https://doi.org/10.17232/KSET.39.1.315
  34. Park, H. B., Kim, J. M., & Lee, W. G. (2021). Derivation of teachers' competency for artificial intelligence convergence education. The Journal of Korean Association of Computer Education, 24(5), 17-25. https://doi.org/10.32431/kace.2021.24.5.002
  35. Park, M. J., & Choi, I. S. (2022). An analysis of pre-service teachers' needs for teacher competence and teacher education in the era of the 4th industrial revolution: Focusing on the case of a university. The Journal of Yeolin Education, 30(5), 71-93. https://doi.org/10.18230/tjye.2022.30.5.71
  36. Park, S. J. (2021). AI education perception of pre-service teachers according to AI learning experience, interest in AI education, and major. Journal of the Korean Association of Information Education (JKAIE), 25(1), 103-111. https://doi.org/10.14352/jkaie.2021.25.1.103
  37. Shin W. S., Han, I. S., & Eom, M. R. (2012). Influence of technology integration course on preservice teachers' technological pedagogical and content knowledge (TPACK). Journal of the Korean Association of Information Education (JKAIE), 16(1), 71-80.
  38. Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational researcher, 15(2), 4-14. https://doi.org/10.2307/1175860
  39. Velander, J., Taiye, M. A., Otero, N., & Milrad, M. (2023). Artificial intelligence in K12 education: Eliciting and reflecting on Swedish teachers' understanding of AI and its implications for teaching & learning. Education and Information Technologies, 1-21. https://doi.org/10.1007/s10639-023-11990-4
  40. Yoon, S. H. (2022). Gender and digital competence: Analysis of pre-service teachers' educational needs and its implications. International Journal of Educational Research, 114, 101989. https://doi.org/10.1016/j.ijer.2022.101989
  41. Zulkarnain, N. S., & Yunus, M. M. (2023). Teachers' perceptions and continuance usage intention of artificial intelligence technology in Tesl. International Journal of Multidisciplinary Research and Analysis, 6(5), 2101-2109.