The assumption that countries have the capacity to take on recommendations from the best available knowledge, achieve understanding, and turn them into effective policy and action, leaves unanswered the mechanisms through which a publication, a series of meetings, or a policy comparison may lead to change.

Question: “So what learning platform do you use?” Answer: “The Internet.” I first remember hearing the phrase “Everyone hates their LMS” from a defrocked priest of higher education. That made so much sense. At the time, I was wrestling with a stupid, clunky corporate learning management system designed for the most paranoid kind of HR department, touting its 10,000 features, none of which could do what we actually needed.

By Donna Murdoch, Ed. D. for The Geneva Learning Foundation A search for the keyword “webinar” on Google reveals over 85 million hits.

Copenhagen. I chat with two “learning consultants”, whose job it is in their respective universities to help faculty improve how they teach. Much to my dismay, I understand that their role is perceived as being about the adoption of new tools (“Should I use Adobe Connect or Zoom?”). Yet they are a case in point that learning technologists provide a rare opportunity for university faculty to think through how they teach.

We struggle with the measurement of learning. Elaborate frameworks compete for attention. The sophistication of complexity theory or fractals, the business speak of ROI, levels, pyramids, concentric circles… every learning guru peddles a model to describe and diagnose the effects of what we try to do – and what learners actually do most often on their own.

I asked three questions, four years ago, as a sympathetic observer eager to see a learning organization – launched with much fanfare and 20 million British pounds of DFID support – help improve humanitarian work. Never really got an answer. Until today. It turns out that the Humanitarian Leadership Academy is being absorbed into the UK’s largest international NGO.

Will it be virtual reality (VR)? The promise of immersive, experiential learning is tantalizing. What about artificial intelligence (AI), if only to relieve humans of the drudgery of the more trivial part of assessment and feedback? Will neuroscience lay bare cognitive process? What if the blockchain stored distributed learning records? How about building a successor to creaky Moodle? Predicting the future tends to be a losing bet.

The idea that adult learners have much to learn from each other is fairly consensual. The practice of peer learning, however, requires un-learning much of what has been ingrained over years of schooling. We have internalized the conviction that significant learning requires expert feedback.

“We are training 30 people to become doctors. My focus is on developing content for open educational resources (OER) that we can use to transmit foundational knowledge.” Training 30 people at a time is not going to make a dent. Cost and scale are related. Quality does not need to diminish against lower cost or higher scale. OER are obviously about producing knowledge, but seldom question agency in epistemology.

The learning landscape is changing fast. Even the most jurassic face-to-face trainers I know are now embracing the digital transformation or at least trying to. Ephemeral fads such as the Social Age or gamification are proliferating alongside newer, more sustainable and productive approaches that match the learning contexts of humanitarians and support the development of their capabilities in a volatile world.