This pedagogical toolkit complements the competency framework entitled “AI Ethics Training in Higher Education: Competency Framework”, which we produced thanks to the “Pôle montréalais d’enseignement supérieur en intelligence artificielle” (PIA). In this pedagogical toolkit, we provide concrete ways of carrying out training activities that will help develop the various aspects of AI ethics competency. For each activity, you will find a short explanation of the link between the proposed activity and the elements of the competency framework. This pedagogical toolkit should be seen as a working document that can be used creatively by the teachers who use it.
Professor at George Washington University
I am a Professor with Human-Technology Collaboration and Educational Technology programs at George Washington University in Washington DC. I have written 12 books and more than 100 articles, and I co-host of the Parsing Science podcast where scientists tell the stories behind their research. I am also the developer of the WeShareScience.com online platform for sharing research videos, and SciencePods.com where researchers can create free podcasts about their science. My research interests include human interactions with intelligent machines, needs, needs assessments, and instructional design.
Latest posts by Ryan Watkins (see all)
- Exploring Student Behaviors and Motivations using AI TAs with Optional Guardrails - April 16, 2025
- AI-University: An LLM-based platform for instructional alignment to scientific classrooms - April 15, 2025
- Interaction-Required Suggestions for Control, Ownership, and Awareness in Human-AI Co-Writing - April 14, 2025