ETHICS AND CHALLENGES OF APPLYING ARTIFICIAL INTELLIGENCE IN EDUCATION: A LITERATURE REVIEW

Imro Atus Soliha




Abstract

This research aims to analyze the ethics and challenges that arise in the application of Artificial Intelligence (AI) technology in the world of education. Using the literature review method, this study identifies various ethical issues, such as data privacy, equal access to technology, and the role of teachers that are threatened by AI, as well as the technical and social challenges faced by educational institutions in integrating these technologies. Ethical theories of utilitarianism, deontology, and social justice are used as a basis for evaluating the impact of the application of AI in education, both from the perspective of maximum benefits to society and moral and justice principles. The results of this study are expected to provide insight for policymakers and education practitioners in developing ethical and inclusive AI implementation strategies, taking into account the need to maintain the quality of education and protect the rights of students and teachers

Keywords

Artificial Intelligence, Educational Ethics, Implementation Challenges

Full Text:

PDF

References

Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7

Balta, N. (2023). Ethical Considerations in Using AI in Educational Research. Journal of Research in Didactical Sciences, 2(1), 14205. https://doi.org/10.51853/jorids/14205

ÇAYIR, A. (2023). A Literature Review on the Effect of Artificial Intelligence on Education. İnsan ve Sosyal Bilimler Dergisi, 6(2), 276–288. https://doi.org/10.53048/johass.1375684

Chen, Q., Zhao, Z., Zhang, X.-L., Jiangqin, C., Chai, W., Yang, H., & Lai, Z. (2023). Zhang et al 2023.

Ferikoğlu, D., & Akgün, E. (2022). An Investigation of Teachers’ Artificial Intelligence Awareness: A Scale Development Study. Malaysian Online Journal of Educational Technology, 10(3), 215–231. https://doi.org/10.52380/mojet.2022.10.3.407

Hall, P., & Ellis, D. (2023). A systematic review of socio-technical gender bias in AI algorithms. Online Information Review, 47(7), 1264–1279. https://doi.org/10.1108/OIR-08-2021-0452

Hinojo-Lucena, F.-J., Aznar-Díaz, I., Cáceres-Reche, M.-P., & Romero-Rodríguez, J.-M. (2019). Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051

Knowles, M. A. (2021). Five Motivating Concerns for AI Ethics Instruction. Proceedings of the Association for Information Science and Technology, 58(1), 472–476. https://doi.org/10.1002/pra2.481

Lee, J., Hong, M., & Cho, J. (2024). Development of a Content Framework of Artificial Intelligence Integrated Education Considering Ethical Factors. International Journal on Advanced Science, Engineering and Information Technology, 14(1), 205–213. https://doi.org/10.18517/ijaseit.14.1.19558

Rui, Z., & Badarch, T. (2022). Research on Applications of Artificial Intelligence in Education. American Journal of Computer Science and Technology, 5(2), 72. https://doi.org/10.11648/j.ajcst.20220502.17

Talan, T. (2021a). Artificial Intelligence in Education: A Bibliometric Study. International Journal of Research in Education and Science, 822–837. https://doi.org/10.46328/ijres.2409

Talan, T. (2021b). The effect of computer-supported collaborative learning on academic achievement: A meta-analysis study. International Journal of Education in Mathematics, Science and Technology, 9(3), 426–448. https://doi.org/10.46328/IJEMST.1243

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0

Zhang, B., Tao, H., Xie, M., Zhang, J., Zhang, M., & Zhang, Y. (2023). Factors Associated With Professional Identity Among ICU Nurses During COVID‐19: A Cross‐sectional Study. Nursing Open, 10(8), 5701–5710. https://doi.org/10.1002/nop2.1817




Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 montir5 montir5