Teach with AI

AI can support you throughout the process of teaching, from planning to delivery. But it also imposes demands on us, from creating awareness and conducting risk-assessment to building skills and mechanisms for responsible and ethical use of AI.

Use GenAI responsibly 

GenAI is still relatively new. It opens many possibilities and benefits, but also carries risks, many of which are not obvious or visible. For example, most LLMs are US-based, with loose regulations and data flows that do not follow EU standards; on the other hand, we have the AI Act and its rules, which are still new to us. So what are the guidelines that can help me navigate using GenAI—and AI more broadly—in this new landscape? And what the are hard rules that we all have to adhere to?  

GenAI training for teachers 

Where do I go to learn more about how to use GenAI for teaching? To use GenAI productively and ethically, what support does EUR offer to me? 

In-person training:

• Microlab: "How to use AI as a teacher (for beginners)" 
  If you are new to GenAI, this Microlab provided by Risbo is for you! For more information, upcoming dates, and how to apply, visit Risbo. 

Online, self-paced courses:

• Canvas modules: 
  Explore three self-paced learning modules on artificial intelligence (AI), specifically crafted for university lecturers by colleagues from Erasmus University Rotterdam and Erasmus Medical Center. The topics covered are GenAI Academic Questions, Designing AI Assignments and Ensuring Validity in the Age of AI. Take a look at the modules.
   

• University Library module: Integrating GenAI into your classroom 
  This self-paced e-module for university lecturers and teaching assistants explores the responsible use of Generative AI in higher education, focusing on ethical considerations, course design, assessment impact, and practical applications of Large Language Models (LLMs) like ChatGPT and Gemini. Take a look at the modules.

GenAI Monthly Meetup (by CLI)

• Each month we meet for discussion and hands-on practice of different aspects of GenAI in teaching, learning and beyond. Everyone—students, teachers, researchers, staff—is welcome! You can find upcoming meetups on our homepage. 

Erasmus Data Collaboratory | House of AI 

The Erasmus Data Collaboratory (EDC), established by the Convergence alliance, offers an open, experimental environment where researchers, students, staff, and partners co-create value from data, (gen) AI, and immersive technology. With cutting-edge tools, tailored software, and the Erasmus Data Sandbox, it supports education, research, and innovation. As the university’s central AI hub, embedded in ECDA, it hosts events and collaborates closely with TU Delft and Erasmus MC. 

Immersive Xperience Lab (IXL) 

This space, part of EDC, enables EUR to offer education in novel, more inclusive, and sustainable ways. It facilitates experimentation with new XR technologies, potentially combined with (gen) AI, such as large language models (LLMs). It houses small-scale XR classrooms and serves as a playground for students. Additionally, the space will offer opportunities to showcase AI and immersive art installations.