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Another absurd joke: Hear are the correct answers for tomorrow's True-False test.





Would you like the answers for the multiple choice test?


The joke makes the point about the importance of connecting.


As trainers this means that teaching the answers must be subservient to teaching the method of connecting answers to questions. It also means that testing should test the understanding of the method in addition to the outcome (i.e. correct answer.) Remember getting partial credit on tests for applying the correct theory but making math or spelling errors? That was an early recognition that "showing your work" was valued.


This feeds the notion of the "Human Learning Machine." The efficiency of this machine will allow it to correctly apply existing information and know when to not apply existing information. It may also mean using processes that maximize the ability to match knowledge workers to situations where their existing knowledge has a high likelihood of success. For example:


A restaurant tracks tips by server-guest relationship and assigns the returning guest to a time and location that will once again match the server with the guest. A similar process could be used by a call-center.


What are the implications of this to the way we deliver and support learning in the workplace?

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Replies to This Discussion

I enjoy repeating the expression that "experience is something you gain immediately after you needed it." With an obsession driven by efficiency we are focused on using automation to eliminate mistakes. Ironically, machine learning is based on machines designed to make mistakes quickly and then never do anything that leads to a path that turns into a mistake.

The good news is that as we automate away mistakes - we uncover new things to do - and make mistakes doing them - and then learn - and then automate. I doubt that this cycle will end.


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