Systematic Review of AI Ethics Education for K-12 and Higher Education
Systematic review of AI ethics education in K-12 and higher education to uncover themes, challenges, and teaching practices.
This project focuses on conducting a systematic review of AI ethics education for K-12 and higher education, addressing the critical gap in understanding the current state of teaching AI ethics. With the rapid integration of AI into daily life, there is an increasing need to ensure that students not only grasp fundamental AI concepts but also develop the ethical awareness necessary to responsibly use and create AI technologies. This project how and what AI ethics topics have been introduced in educational contexts.
Currently, I am in the data extraction stage of the project. This involves systematically reviewing and coding data from selected peer-reviewed articles using a comprehensive coding scheme. This coding scheme has been iteratively refined to capture education motivation, key topics, instructional strategies, program types, and challenges associated with AI ethics education.
The outcomes of this systematic review will provide valuable insights into existing AI ethics curricula and their implementation across diverse educational settings. These findings will serve as a foundation for designing improved AI ethics education frameworks, informing educators, policymakers, and researchers on how to foster ethical awareness among students.
