Akademik Veri Yönetim Sistemi
International Conference of Educational Technology and Online Learning (ICETOL 2024), Eskişehir, Türkiye, 15 Haziran - 17 Temmuz 2024, ss.346-353
Artificial intelligence applications in education have many benefits for improving learning experiences. However, it is crucial to understand its limitations, potential risks and ethical drawbacks. This study was conducted to understand the scope of the ethical use of artificial intelligence in education and to determine the ethical concerns that arise with the use of artificial intelligence in education. In line with the reviewed studies, it was investigated which ethical concepts were discussed in the studies on artificial intelligence, education and ethics, which concepts were emphasized the most in keywords and abstracts, how scientific production varies according to years and how the trend subject distribution is according to years. In this context, qualitative and quantitative analysis methods were used in the study. A systematic search was conducted in the Scopus database using the keywords 'artificial intelligence, education and ethics'. A total of 22 studies in which these keywords were found together in the title of the research and 906 studies in the title, keywords or abstract were listed. 22 studies were analyzed through qualitative content analysis. 906 studies were examined with the bibliometric analysis technique, aiming to obtain richer insights by synthesizing the research topic quantitatively; Biblioshiny program was used. According to the findings of the qualitative content analysis of the 22 articles included in the study, the most emphasized ethical concepts in the use of artificial intelligence in education were biased artificial intelligence algorithms (justice, equality and inclusiveness concerns etc.), confidentiality and privacy, transparency and accountability, responsibility, academic integrity, security, autonomy and nonmaleficence. In the text analysis of the keywords obtained by bibliometric analysis of 906 studies, it was found that privacy, academic honesty, transparency were the most frequently emphasized ethical issues; in the text analysis of abstracts, the terms AI ethics, ethics education and ethical concerns were frequently repeated. It is understood that the highest scientific production related to the research topic belongs to the years 2022, 2023 and 2024. In the trend topic distribution, it was seen that in 2024, studies on large language models, medicine, politics, plagiarism; in 2023, studies on artificial intelligence, ethics, education, chatgpt, artificial intelligence ethics were concentrated. Emphasizing the ethical aspects of the use of artificial intelligence in education is of great importance in guiding both educational stakeholders and technologists who will develop AI-supported applications and in raising awareness of the society about the ethical issues of these technologies. This study, which aims to provide an overview of the ethical use of artificial intelligence in education, is thought to contribute to the conceptualization and implementation of ethical elements.
Keywords: Artificial intelligence, education, ai in education, ethics