Analysis of AI Ethical Competence to Computational Thinking

Jinah Bae - Jeju National University, 102 Jejudaehak ro, Jeju 63243, Republic of Korea
Junghun Lee - Jeju National University, 102 Jejudaehak ro, Jeju 63243, Republic of Korea
Jungwon Cho - Jeju National University, 102 Jejudaehak ro, Jeju 63243, Republic of Korea

Citation Format:



Artificial Intelligence (AI) is a driving force leading the intelligent information society. Major advanced countries have established AI into key policy projects and made continuous efforts to nurture and develop future talents through AI education. Unlike conventional software, AI can infer results through training with data, and if there is a data bias, it may cause social and ethical problems. These problems incur extensive damage to society, so ethical consideration is essential in terms of effectiveness and efficiency in implementing AI. Computational thinking aims to perform effective and efficient problem-solving to address real-life problems using computing technology such as AI. Therefore, ethical considerations in AI education can be regarded as an important element of computational thinking. This study aims to analyze the relationship between computational thinking and AI ethical competence from problem-solving using AI. To this end, evaluations and analyses of computational thinking and AI ethical competence were performed based on the evaluation results of the education program with the integration of AI and AI ethics. The analysis demonstrated that the group with relatively high computational thinking skills also showed high AI ethical competence. The findings of this study are expected to facilitate research on nurturing computational thinking through AI-integrated education with sufficient consideration of AI ethics. To increase the effectiveness of the AI-integrated education program, it is necessary to develop a mid-to-long-term education program to systematically examine the process-focused evaluation by systematizing observational and portfolio assessments.


AI education; AI ethics education; computational thinking; AI integrated education model; AI ethical competence.

Full Text:



Ministry of Science and ICT 2019, National Artificial Intelligence Strategy. Ministry of Science and ICT.

J. Bae, J. Lee, and J. Cho, “An Artificial Intelligence Ethics Education Model for Practical Power Strength,” Journal of Industrial Convergence, vol. 20, no. 5, pp. 83–92, May 2022, doi: 10.22678/jic.2022.20.5.083.

S. H. Han, “Social and Ethical Issues of Artificial Intelligence Technology,” J. Korea Multimedia Soc., vol. 20, no. 3, pp. 41–52.

S. J. Jang et al., "A Study on Exploring the Contents of Artificial Intelligence Ethics Education in Elementary and Secondary Schools SIGs 2021," 2022.

Graduate School of Literature and Future Strategy, “KAIST Graduate School of Literature and Future Strategy - Ph.D.” (accessed Aug. 18, 2022).

T. Kim and S. Byun, “A Study on the Necessity and Content Composition of AI Ethics Education,” Journal of AI Humanities, vol. 8, pp. 71–104, Aug. 2021, doi: 10.46397/jaih.8.4.

D. Park, S. W. Kim, E. L. Han, C. S. Kim, C. W. Lee et al., “A Study on China's New Technology Talent Nurturing Policy in the Era of the Fourth Industrial Revolution: Focusing on Elementary, Middle, and High School-Level AI Education.”. Collaborative Research Series in Comprehensive Research on China by Economics, Humanities, and Social Research Society 20-91-04, 2022.

M. H. Lee., “Development and Application of a Teaching and Learning Model Integrating,” KNUE Univ, Cheongju, 2008.

H. S. H.S.Kim, J.H.Song and J.Y.Lee, "Direction of K-12 SW·AI Education through Computing Curricula 2020," 2020.

J. M. Wing, “Computational thinking,” Commun. ACM, vol. 49, no. 3, pp. 33–35, 2006.

J. M. Wing, “Computational thinking: What and why,” in Presentation slides from Trippel Helix Conference on Computational Thinking and Digital Competencies in Primary and Secondary Education Stockholm, Sweden. https://pdfs. semanticscholar. org/presentation/d20a/a49744877f2bb98d6ad303742be7bd025fcd. pdf, 2017, pp. 1378800312–1580695435.

S. Shin, “Designing the Framework of Evaluation on Learner’s Cognitive Skill for Artificial Intelligence Education through Computational Thinking,” Journal of The Korean Association of Information Education, vol. 24, no. 1, pp. 59–69, Feb. 2020, doi: 10.14352/jkaie.2020.24.1.59.

M. Oldridge, “Is it about coding? No. It’s about computational thinking.” 2017.

M. J. Lee, “Development of Instructional Design Principles Promoting Emotional Regulation for Enhancing Computational Thinking,” Education Engineering Major of Sejong University Graduate School of Education, 2020.

Y. Choi and T. Lee, “A Study on the Practical Teaching of Elementary Software Convergence Education for Effective Develop of Communication Ethics conciousness and Computational Thinking,” in Proceedings of the Korean Society of Computer Information Conference, 2018, pp. 411–414.

A. M. Seoane-Pardo, “Computational thinking beyond STEM,” Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, Nov. 2016, doi: 10.1145/3012430.3012494.

J. Lim and W. Choi, “A study on characteristics and meanings of’process-focused evaluation’in the free semester program,” J. Korean Educ., vol. 45, no. 3, pp. 31–59, 2018.

J. Lee and J. Cho, “Process-oriented Evaluation Method for Computational Thinking,” J. Digit. Converg., vol. 19, no. 10, pp. 95–104, 2021.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

JOIV : International Journal on Informatics Visualization
ISSN 2549-9610  (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W :
E :,,

View JOIV Stats

Creative Commons License is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.