Integrating Science and Ethics in Animal Education
Teaching Approach
My teaching approach combines scientific rigor with practical relevance. I bring real-world animal welfare challenges into the classroom and emphasize behavioural science, research ethics, and evidence-based thinking. Beyond my core field, I work to equip researchers with the skills necessary for the responsible and critical use of generative AI. This includes the appraisal of AI-generated content and the ethical integration of these tools into scholarly workflows.
Current Courses
I teach veterinary and animal science students at the Norwegian University of Life Sciences (NMBU), where my courses cover topics such as:
- Animal welfare
- Animal behaviour
- Stress biology
- Philosophy of science (PhD Level)
- Research ethics (PhD Level)
- Responsible and Critical Use of Generative AI in Research (PhD Level)
Past Courses
Before my current role, I taught natural sciences and mathematics at the secondary school level and have also lectured in ethology at undergraduate and postgraduate levels.
Student Mentorship
I have supervised PhD candidates on a range of research projects and have co-hosted Marie Skłodowska-Curie postdoctoral fellows. I work with early-career researchers to help them secure funding and strengthen their academic profiles.
Pedagogical Innovation: BINGO for learning
In my courses at NMBU, I prioritize transforming passive content consumption into active cognitive engagement. To support this, I developed a Digital BINGO platform grounded in the principles of motivation, repetition, and active recall. The tool challenges students to rapidly identify and retrieve core concepts under a time constraint, stimulating increased focus and the formation of long-term memory. This project serves as a live case study in how specialized digital infrastructure can be used to support learning.
Note: This link leads to a live functional prototype that can be used in student active lecture sessions.