Exploratory research on understanding university students’ artificial intelligence literacy in a Korean university

Yong-Jik Lee 1, JongHyun Oh 1 * , Changwoo Hong 1
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1 Chonnam National University, Gwangju, SOUTH KOREA
* Corresponding Author
Online Journal of Communication and Media Technologies, Volume 14, Issue 3, Article No: e202440. https://doi.org/10.30935/ojcmt/14711
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ABSTRACT

This study explored university students’ perceptions of artificial intelligence (AI) literacy and AI education. Specifically, the authors sought to understand the level of AI literacy among university students, the extent of their prior exposure to AI education, and the factors that affect their AI education. The study was conducted through an online survey distributed among 300 university students at a Korean university. The study findings indicate that most university students are interested in learning AI. Moreover, the results showed that students with prior experience with software (SW) education showed superior knowledge, a better grasp of AI concepts, and more confidence in using AI technologies, especially in computer coding skills. On the other hand, students with less exposure to prior AI education expressed a need for more learning opportunities and sufficient knowledge of computer coding skills. In addition, we found that students who had received SW education during their K-12 schooling showed better math skills than those who had only received short-term training in university. These findings underscore the importance of addressing the educational barriers that impede university students’ ability to harness this interest effectively. In conclusion, our study provides valuable insights into university students’ perceptions regarding AI literacy and the factors that affect their AI education.

CITATION

Lee, Y.-J., Oh, J., & Hong, C. (2024). Exploratory research on understanding university students’ artificial intelligence literacy in a Korean university. Online Journal of Communication and Media Technologies, 14(3), e202440. https://doi.org/10.30935/ojcmt/14711

REFERENCES

  • Aydin, M. (2021). Does the digital divide matter? Factors and conditions that promote ICT literacy. Telematics and Informatics, 58, 101536. https://doi.org/10.1016/j.tele.2020.101536
  • Castillo-Martínez, I. M., Cerros Regalado, C. P., Glasserman-Morales, L. D., & Ramírez-Montoya, M. S. (2023). Academic literacy among the university students in Mexico and Spain: A holistic perspective. Frontiers in Psychology, 13, 1055954. https://doi.org/10.3389/fpsyg.2022.1055954
  • Eguchi, A., Okada, H., & Muto, Y. (2021). Contextualizing AI education for K-12 students to enhance their learning of AI literacy through culturally responsive approaches. KI-Künstliche Intelligenz [AI-Artificial Intelligence], 35(2), 153-161. https://doi.org/10.1007/s13218-021-00737-3
  • Fang, F., & Jiang, X. (2024). The analysis of artificial intelligence digital technology in art education under the internet of things. IEEE Access, 12, 22928-22937. https://doi.org/10.1109/ACCESS.2024.3363655
  • Han, S. G. (2020). Digital content to improve artificial intelligence literacy ability. Journal of the Korea Society of Computer and Information, 25(12), 93-100. https://doi.org/10.9708/jksci.2020.25.12.093
  • Hong, J. Y., & Kim, Y. (2020). Development of AI data science education program to foster data literacy of elementary school students. Journal of The Korean Association of Information Education, 24(6), 633-641. https://doi.org/10.14352/jkaie.2020.24.6.633
  • Hwang, H. S., Zhu, L. C., & Cui, Q. (2023). Development and validation of a digital literacy scale in the artificial intelligence era for college students. KSII Transactions on Internet and Information Systems, 17(8), 2241-2258. https://doi.org/10.3837/tiis.2023.08.016
  • Kang, H. Y. (2022). A study on digital and AI literacy education to prepare for the future. Journal of Digital Contents Society, 23(6), 1067-1075. https://doi.org/10.9728/dcs.2022.23.6.1067
  • Kim, K., & Kwon, K. (2023). Exploring the AI competencies of elementary school teachers in South Korea. Computers and Education: Artificial Intelligence, 4, 100137. https://doi.org/10.1016/j.caeai.2023.100137
  • Kim, S. W., & Lee, Y. (2022). The artificial intelligence literacy scale for middle school students. Journal of the Korea Society of Computer and Information, 27(3), 225-238. https://doi.org/10.9708/jksci.2022.27.03.225
  • Kim, Y., Kim, H., & Ahn, H. (2022). A study on AI literacy of university students in language and language education. The Journal of the Korea Contents Association, 23(1), 165-174. https://doi.org/10.5392/JKCA.2023.23.01.165
  • Kong, S. C., Cheung, W. M. Y., & Zhang, G. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence, 2, 100026. https://doi.org/10.1016/j.caeai.2021.100026
  • Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. https://doi.org/10.1016/j.caeai.2022.100101
  • Lei, H., Xiong, Y., Chiu, M. M., Zhang, J., & Cai, Z. (2021). The relationship between ICT literacy and academic achievement among students: A meta-analysis. Children and Youth Services Review, 127, 106123. https://doi.org/10.1016/j.childyouth.2021.106123
  • Li, Y., & Lee, Y. J. (2024a). Case study on pre-service teachers’ perception of AI education and AI teaching efficacy at a Chinese university. Journal of AI Humanities, 16, 53-81. https://doi.org/10.46397/JAIH.16.2
  • Li, Y., & Lee, Y. J. (2024b). Exploring Korean university students’ perceptions of Artificial Intelligence (AI) education. Journal of the Korea Academia-Industrial Cooperation Society, 25(3), 251-260. https://doi.org/10.5762/KAIS.2024.25.3.251
  • Ng, D. T. K., Lee, M., Tan, R. J. Y., Hu, X., Downie, J. S., & Chu, S. K. W. (2023). A review of AI teaching and learning from 2000 to 2020. Education and Information Technologies, 28(7), 8445-8501. https://doi.org/10.1007/s10639-022-11491-w
  • Park, H., Kim, H. S., & Park, H. W. (2021). A scientometric study of digital, ICT, information, and media literacy. Journal of Data and Information Science, 6(2), 116-138. https://doi.org/10.2478/jdis-2021-0001
  • Touretzky, D., Martin, F., Seehorn, D., Breazeal, C., & Posner, T. (2019). Special session: AI for K-12 guidelines initiative. In Proceedings of the 50th ACM Technical Symposium on computer science education (pp. 492-493). ACM. https://doi.org/10.1145/3287324.3287525
  • Visvizi, A. (2021). Artificial intelligence (AI): Explaining, querying, demystifying. In A. Visvizi, & M. Bodziany (Eds.), Artificial intelligence and its contexts: Security, business and governance (pp. 13-26). Springer. https://doi.org/10.1007/978-3-030-88972-2_2
  • Yang, C. (2022). The effect of AI learning program on AI attitude and literacy of gifted children in elementary schools. Journal of The Korean Association of Information Education, 26(1), 35-44. https://doi.org/10.14352/jkaie.2022.26.1.35
  • Yi, Y. (2021). Establishing the concept of AI literacy. Jahr–European Journal of Bioethics, 12(2), 353-368. https://doi.org/10.21860/j.12.2.8