#Change11 What can be learnt from Steve Jobs through the eyes of Guy Kawasaki

If you watch this, you could be shocked by the first lesson:

Experts are clueless. Guy Kawasaki explains that “Apple has proven that experts are WRONG”.  Wow! That is a bold statement.  May be this claim is applicable in the case of entrepreneurship.  But in the case of education, are experts to be trusted and relied upon?  Would this challenge our thoughts about experts and expertise?

Would the frame of reference be important when it comes to whether experts are really clueless?

This would be especially relevant when Christin posted in the post of What is expertise in a MOOC the question: “how do participants determine who to follow and how do they grant the title of ‘expert’ to others within the MOOC?”

Should participants follow experts?  Or what is a better question to re-phrase this notion about following experts in MOOC?

Better still, when learning in networks, social or learning networks, or in business settings, should we be following experts, if that is the case?

Would this question be context driven?  That is, would it depend on what sort of experts and expertise that we are referring to?

Just can’t wait to hear from you!

Postscript: Here is another video on experts


4 thoughts on “#Change11 What can be learnt from Steve Jobs through the eyes of Guy Kawasaki

  1. I think *some* experts are clueless, and we should learn to think for ourselves. However, *some* experts have information or resources that one might be wise to make use of, while thinking for oneself.

    I’ve made a life-career of being irreverent (although I learned to pick my spots, in order to survive).

    I don’t think education experts are to be trusted. Whose goals do they serve? Participants in MOOCs can listen to experts, but perhaps could benefit by contextualizing the message as being one opinion at a particular place and time. i.e. “the truth as I know it, at this particular place and time, subject to change at any time and place” where ‘truth’ might be thought of as a best guess or approximation based on the evidence in support, all other things being equal. It would be important to consider the motivation(s) and self-interests of the expert in assessing their truthfulness, as those factors could steer the truth away from evidentiary support.

    In other words, question everyone and everything, when you have time.

  2. Pingback: #Change11 Week 9 On Rhizomatic learning and metaphors | Learner Weblog

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