Akademik Veri Yönetim Sistemi
UTILIZING AI FOR ASSESSMENT, GRADING, AND FEEDBACK IN HIGHER EDUCATION, ss.234-252, 2024 (SCI-Expanded)
This chapter examines in detail the socioscientific (SS) dimensions of the widespread use of artificial intelligence (AI) in higher education. As a result, it was emphasized that the use of AI in higher education should be discussed as a topic with its features such as ethical and moral issues, complexity, and uncertainty issues. It is recommended that university administrations take urgent measures against the negativities that may occur in the near future both in higher education and in society, and to open the issue to discussion at the international level from the perspective of SS. In particular, determining the ethical and legal framework and setting standards as soon as possible is very important in order to minimize the negative effects of rapidly developing AI and to benefit from the advantages of its positive aspects without fear. Both students and academics should be informed about the conscious use of AI and the precautions to be taken against its negative effects. Thus, university administrations organizing trainings can solve the problems in the short term.