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I’m in the middle of my final project for a Coursera MOOC titled Learning How to Learn (LHTL), taught by Dr. Barbara Oakley and Dr. Terrence Sejnowski.

Following in the footsteps of my beloved Grandma Ann, I am a lifelong learner and information sharer.  Grandma Ann always spotted newspaper nuggets about things she knew I was interested in, clipped them out and sent them along with cheery letters.  In that spirit I’m taking a page from her book by sharing here with you.  Miss you, Grandma, but long live the curiosity and intrepid discovery you embedded within me by your spirit and example!

I have made my way through this 4 week long online course in a much slothier pace, due to the other demands of life.  The course concepts, principles, research and delivery are  compelling and so true to my own life experiences.  I find myself telling all my closest people bits here and there about how the brain works to learn, remember, master and recall – which believe me, at age 55, is becoming more important!  Even more so, it’s exciting now to look with new understanding at the existing processes I see at work in my own learning and recognize that the research and methods of LHTL are actually evident in my own life/learning experiences.   The mastery of a new piece of music, for example, has proven to be a tremendous validation of so much of what LHTL has explained is going on in the brain as I begin at the unknown to mastery and performance of a piece.

So, get to it if you are curious to discover what resonates here for you!  If you fall behind in the course (I might know a little something about that – and procrastination is a big topic of the course!), no worries – you can readily tell Coursera to put you in a new session with ease.  No obstacles – jump right in!

Because I am a Malawi

Fascinated by this TEDx Talk featuring Eric Berlow and Sean Gourley.  Watch it and you will be too.  Why am I posting it to my blog? Because data literacy is a pivotal piece of the knowledge mosaic for individuals, for families, for communities.

Do I understand algorithms at work here?  NO!  I can barely spell algorithm.   But through the discipline of algorithms, and use of natural language processing of speech to text transcripts of all the TED talks, views and comment data, this video depicts how ideas are interconnected globally.  I do speak the language of information, knowledge and concept mapping, where following a citation chain (how is knowledge connected from expert to expert? how does it flow?) Where does that flow lead?) is an extremely powerful and thrilling thing. The application of computers and math to this connection of ideas is massively denser but achieves the same end.

Learners of all ages are challenged to understand interconnections of ideas and problems.  This is a literacy for all.

Data Literacy



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