✉️ Do you have any questions concerning this section of the hub or would you like support with the incorporation of AI literacy into your curriculum and course? Contact f.m.frittella@utwente.nl.

If you want to integrate AI literacy into your course, consider that each time students use AI offers a valuable learning opportunity, particularly when thoughtfully integrated into teaching, learning, and assessment activities (TLAs). The following sections provide you with four strategies for incorporating AI TLAs into existing courses and provide examples and resources you can directly use in your teaching.

Experiences from the UT

Several teachers report the benefits for students’ AI literacy of allowing students to explore AI in the classroom:

In this video fragment (part of EEMCS Webinar on AI in Education), Tom van Dijk, Assistant Professor at EEMCS, shares his experience with letting students experiment with ChatGPT in the classroom.
In this lecture recorded during the 2024 Week of Education, Professor Kim Schildkamp (BMS/ELAN) talks about the role of AI in assessment and discusses the importance for lecturers to introduce GenAI in the classroom to promote the AI literacy of students and their own.

Bloom’s taxonomy revised for AI, developed by scholars at Oregon State University, is a useful tool to help you reflect on the integration of AI into your course. It can also serve as a starting point for a conversation with students on what AI can and cannot do within different levels of their learning process.

Click on the image to enlarge.

Important point: Building foundational knowledge, skills, and values related to AI is most effective when approached incrementally within the program (see ‘how to incorporate AI literacy into the curriculum’). If possible, to determine what AI content to incorporate into your specific course, collaborate with the broader program and teaching team to ensure a cohesive approach and gradual development of AI literacy.