Small wonder that executives hear the word “learning,” think “schooling” and conclude “not enough payback.” Executives respond better to “execution.”
Everything is connected. Each of us is enmeshed in innumerable networks. You’re linked to telephone networks, satellite networks, cable feeds, power grids, ATM networks, the banking system, the Web, intranets, extranets and networks that are local, wide, wireless, secure, virtual and peer-to-peer.
Social networks interconnect us in families, circles of friends, neighborhood groups, professional associations, task teams, business webs, value nets, user groups, flash mobs, gangs, political groups, scout troops, bridge clubs, 12-step groups and alumni associations.
Human beings are networks. Scientists are still conceptualizing the human protocol stack, but they affirm that our personal neural intranets share a common topology with those of chimps and other animals. Once again, everything’s connected. Learning is a whole-body experience.
Moore’s Law doubles computing power every 18 months, bandwidth doubles twice as fast, and connections grow exponentially with each node. Interconnections beget complexity, so we have no concept of what’s ahead.
Six years ago, Intel CEO Craig Barrett said, “We’re racing down the highway at 150 mph, and we know there’s a brick wall up ahead, but we don’t know where.” We still don’t know where that wall is, but today the car would be hurtling along at 1,800 mph.
Change is racing along so fast that the old learn-in-advance methods are no longer sufficient. While network infrastructure is evolving exponentially, we humans have been poking along. Because of the slow pace of evolution, most human wetware is running obsolete code or struggling with a beta edition. We’ve got to reinvent ourselves and get back on the fast track.
In a world where we don’t know what’s coming next, what constitutes good learning? We’re in whitewater now, and smooth-water sailing rules no longer apply. In whitewater, successful learning means moving the boat downstream without being dumped, preferably with style. In life, successful learning means prospering with people and in networks that matter, preferably enjoying the relationships and knowledge.
Learning is that which enables you to participate successfully in life, at work and in the groups that matter to you. Learners go with the flow. Taking advantage of the double meaning of “network,” to learn is to optimize one’s networks.
The concept that learning is making good connections frees us to think about learning without the chimera of boring classrooms, irrelevant content and ineffective schooling. Instead, the network model lets us take a dispassionate look at our systems while examining nodes and connections, seeking interoperability, boosting the signal-to-noise ratio, building robust topologies, balancing the load and focusing on process improvement.
Does looking at learning as networking take humans out of the picture? Quite the opposite.
Most learning is informal; a network approach makes it easier, more productive and more memorable to meet, share and collaborate. Emotional intelligence promotes interoperability with others. Expert locators connect you to the person with the right answer. Imagine focusing the hive mind that emerges in massive multiplayer games on business. Smart systems will prescribe the apt way to demonstrate a procedure, help make a decision or provide a service, or transform an individual’s self-image. Networks will serve us instead of the other way around.
For tech networks, foundation meta-processing skills will foster the growth of self-determined learning. Personal knowledge management systems will store memories and facilitate rapid knowledge sharing across one’s network. Alter-ego agents will seek out and present us with a balance of normal alerts and fringy out-of-the-box wake-up calls.
It beats schooling.
Jay Cross is CEO of eLearningForum, founder of Internet Time Group and a fellow of meta-learninglab.com. For more information, e-mail Jay at email@example.com.
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