Artificial Intelligence Practices in Higher Education Using Bloom's Digital Taxonomy

Artificial intelligence (AI) has gained attention as one of the emerging fields in educational technology. The growing body of AI research has focused primarily on technological perspectives and less focus has been given to facilitate the development of AI-driven practices in higher education. In this article, we explore and provide insights together with practical examples into how AI through flexible adaptation could be integrated as practices in higher education using Bloom's digital taxonomy as an educational model. The resulting operationalization is presented in the form of six practices that provide a basis for discussing how AI-powered innovations can be used in higher education.