What is his teaching philosophy?

I view learning as an active process driven by the student, and supported by the structured guidance of an educator. My approach places student-centered learning at the core, transforming the classroom into a collaborative space for dialogue and social exchange. I encourage students to engage in collective problem-solving and evidence-based thinking.

How does he use AI in teaching?

He teaches the critical and ethical, hands-on use of AI in research (VET422) to support researchers in increasing the quality of their work and streamline simpler but time demanding processes.

What is BINGO for Learning?

A free, web-based gamification tool that turns the repetition of subject material into an interactive game and shows instructors which concepts students have and have not learned.

Hvilke emner underviser professor Janczak i ved NMBU?

Professor Janczak underviser i tre emner ved NMBU: VET353 (dyrevelferd), VET400 (etiske og filosofiske perspektiver i biomedisinsk forskning) og VET422 (praktisk bruk av kunstig intelligens i biomedisinsk forskning). Han bruker aktive læringsmetoder og har utviklet BINGO for læring, et spillbasert læringsverktøy som gjør repetisjon av fagstoff til et interaktivt spill.

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: 1 June 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), 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. 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.

VET353 (Animal Welfare), VET400 (ethical and philosophical perspectives in biomedical research), and VET422 (practical use of AI in biomedical research).