Teaching
In Brief
This page describes the teaching of Professor Andrew M. Janczak at NMBU, covering courses in animal welfare (dyrevelferd), ethical and philosophical perspectives in biomedical research, and the practical use of artificial intelligence (kunstig intelligens) in research. It outlines his teaching philosophy and tools, including gamified revision through BINGO for Learning (bingo for læring).
Last updated: 4 July 2026
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), covering animal welfare, animal behaviour, and stress biology at the undergraduate level. I also coordinate two PhD-level courses: philosophy of science and research ethics, and the responsible and critical use of generative AI in research.
I serve as both teacher and course coordinator (emneansvarlig) for VET353 Animal Welfare, the mandatory course for all veterinary students at NMBU. In this role, I coordinate the teaching of animal welfare across the entire veterinary programme. A general overview of the course, including our student-active teaching approaches and the wider academic team, is available on the official NMBU page on animal welfare in the veterinary programme.
I hold the same dual role as teacher and course coordinator for VET400 (Introduction to Ethical and Philosophical Perspectives in Biomedical Research) and VET422 (Practical Use of Artificial Intelligence in Biomedical Research). A general overview of both courses is available on the official NMBU page on research ethics and AI in doctoral training.
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. For a full description of how the tool works and how to get access, visit the BINGO for Learning page.
Frequent Questions
FAQ.
Courses, tools, and teaching philosophy.