Using Generative Artificial Intelligence to Support Learning with a Specific Focus on Language and Literature Education

Generative Artificial Intelligence (GenAI) poses major challenges for the field of education and so-called big language models are increasingly being applied in the work of education both in their pedagogical training and in their teaching. In our paper, we analyze how AI can be used to support the achievement of different types of cognitive goals defined within the framework of Bloom's taxonomy, which has been revised several times, while offering educators and researchers an overview of useful prompts that can be effectively used to support teaching, as well as to support students' classroom or home preparation (we specifically focus on the use of AI in language education). In doing so, we draw on concepts defined by researchers at Oregon State University, the SAMR model, and we also leverage our experience with the development and use of the Khanmigo AI application. We address both simple and complex AI prompt creation, the creation of personalized AI assistants, AI-enabled gamification, and other ways AI can be used to effectively support learning. We also focus on the requirements for constructing functional prompts – minimizing hallucinations or biases.