My recent teaching was focused on four areas (examples can be seen on my teaching website):
Knowledge & Innovation Management (UG)
I have organized the content for this course around four themes: the structure of personal knowledge, the processes of personal knowing, organizational aspects of knowledge and learning, and innovation management. The lectures are paralleled by tutorials, where the students play with the acquired concepts. I believe that a good understanding of knowledge and the knowledge worker is essential, therefore the course material draws on a wide range of literature from philosophy, psychology, and management in a comprehensible synthesis.
Artificial Intelligence (UG, MSc, MBA)
I teach selected topics on AI and IS/ICT. These include AI strategy, design, implementation, ethical aspects, decision support, and knowledge-based expert systems. My approach to AI is heavily rooted in the philosophy of mind, I move from the high-level philosophical questions of AI to hands-on exercises that support AI literacy. The purpose of these classes is to help the students figure out for what, when, and how to use AI in order to achieve the best synergy between AI and human mastery.
Making Strategy (MBA)
In this class ‘strategy’ is about agreeing on where to focus energy, cash, effort, and emotion. The process of strategy making is supported using causal maps as transitional objects. The process is formalized, governed by procedural justice and procedural rationality. Making Strategy is rooted in the personal construct theory, the resource-based view, competence-based management, emergent strategizing, and solving messy problems.
Research Philosophy (doctoral students)
An intensive online, face-to-face, or hybrid course, followed by free online collaborative learning. On-going fostering and support of the online community of practice using the developed resources. I encourage students to philosophize and develop their own stance rather than simply choose from available boxes.