Teaching within the Digital Health Communication division is closely integrated with our research, building a collaborative environment where students and academic staff work together at eye level.  We view this as a mutual learning opportunity, where both students and faculty engage in a quest for knowledge. Our teaching approach emphasizes experiential learning activities and critical thinking.  Classes and assignments prioritize evidence-based reasoning and the analysis of how individuals select, create, use, and are influenced by and media and artificial intelligence (AI).

We encourage students to think like scientists, to reflect across concepts and to bring cultural nuances into their reasoning. We believe that cultural diversity in conceptual thinking makes for better discussions and sharper ideas.    

We practice open science and team science in our daily work. Students learn to preregister studies, share data, and report transparently because that is how we do research. In team projects, roles are clear, contributions are credited, and everyone knows what is expected of them. We treat each other with kindness. People do their best thinking when they can ask hard questions and be wrong without penalty.

Our teaching is designed to give students core competencies, enabling them to work independently, think critically with precision, and solve problems in ways that others have not tried yet.