This is my presentation at the First International Forum on Humanitarian Online Training (IFHOLT) organized by the University of Geneva on 12 June 2015. I describe some early findings from research and practice that aim to go beyond “click-through” e-learning that stops at knowledge transmission. Such transmissive approaches replicate traditional training methods prevalent in the humanitarian context, but are both ineffective and irrelevant when it comes to teaching and learning the critical thinking skills that are needed to operate in volatile, uncertain, complex and ambiguous environments faced by humanitarian teams. Nor can such approaches foster collaborative leadership and team work. Most people recognize this, but then invoke blended learning as the solution. Is it that – or is it just a cop-out to avoid deeper questioning and enquiry of our models for teaching and learning in the humanitarian (and development) space? If not, what is the alternative? This is what I explore in just under twenty …
What is a wicked problem?
In 1973, Horst W.J. Rittel and Melvin M. Webber, two Berkeley professors, published an article in Policy Sciences introducing the notion of “wicked” social problems. The article, “Dilemmas in a General Theory of Planning,” named 10 properties that distinguished wicked problems from hard but ordinary problems. There is no definitive formulation of a wicked problem. It’s not possible to write a well-defined statement of the problem, as can be done with an ordinary problem. Wicked problems have no stopping rule. You can tell when you’ve reached a solution with an ordinary problem. With a wicked problem, the search for solutions never stops. Solutions to wicked problems are not true or false, but good or bad. Ordinary problems have solutions that can be objectively evaluated as right or wrong. Choosing a solution to a wicked problem is largely a matter of judgment. There is no immediate and no ultimate test of …
How to Solve It
Understanding the problem First. You have to understand the problem. Devising a plan Second. Find the connection between the data and the unknown. You may be obliged to consider auxiliary problems if an immediate connection cannot be found. You should obtain eventually a plan of the solution. Carrying out the plan Third. Carry out your plan. Looking Back Fourth. Examine the solution obtained. Summary taken from G. Polya, “How to Solve It”, 2nd ed., Princeton University Press, 1957, ISBN 0–691–08097–6.