Zen & the art of unsubscribing

I’ve made a concerted effort over the past 2 months to actively unsubscribe from email notifications. It’s taken a surprising amount of effort, but I think I’m getting there.

Guess what? I don’t feel like I’m missing out on any last minute deals that I don’t care about, or breaking news about product updates for tools I don’t actually use, or instant notifications when someone I don’t know likes a post I commented on over a year ago.

The unsubscribed way of life may not be for everyone, but if you find you’re complaining about how busy you are and posting updates about how many unread emails you have in your inbox after a vacation, give unsubscribing a try. You might be surprised with the results.

Take Your Kyle to Work Day (take 1): @ The Letter M Marketing

photo-2As part of my “Take Your Kyle to Work Day” project, I had the unique opportunity to spend a day with the fine people who work at The Letter M Marketing. TLM has a long history, and an impressive list of clients.

What struck me most about TLM is their engagement with the community. They approach marketing as a genuine conversation. This conversation helps businesses and organizations tell their stories, build connections and co-create meanings.

So, what are you going to do now, Kyle?

question mark

cc: flickr.com/photos/kareneliot

That’s a good question. A very, very good question. Thank-you for asking. My previous post clearly states that I’m “on to new adventures“. To be honest, I’m not sure what those are yet. At present, everything is on the table for discussion. Type of work, relationship with work, location of work…

Today, when someone asked what was next, my response was, “Nothing for awhile. Then, something”.

A bit of nothing can be very educational. This “nothing” is keeping me busier than I’ve been in years. I’ve been reading, writing, enjoying coffee with good friends, and thinking a fair amount.

I’ll be blogging about some of this, so stay tuned. And, if you want to chat, let’s.

On to new adventures!

After 13 great and rewarding years as a staff member at the University of Guelph, effective today, I’m moving on to other adventures. Thanks to all my colleagues at the UofG for all their dedication, guidance, and friendship.

What’s next? Time to finish my graduate work, regroup, and consider next steps. (Ideas welcome!)

Best to reach me at kyle.mackie@gmail.com

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“Investment” is the new “Engagement”

I hear the word “engagement” daily, at least.

  • “I want to introduce new technologies into my classroom to promote student engagement”
  • “If we want this project to be successful, we’ll need to make sure the engagement of the staff”
  • “We’re looking for an approach that really encourages engagement”

cc: flickr.com/photos/iloveakira

The goal of having engaged learners, an engaged staff, an engaged team working on a project is an great one, and once met, there hopefully be success and happiness. I’d suggest, however, that there’s great value in moving the goalposts a bit, and considering the difference between engagement and investment. I think the difference is more than semantics, and more than just a tweak. I think that if the goal is “engagement”, the project will hopefully be successful, but if the goal is “investment”, the project surely will be.

A proposed continuum (and the spacing is deliberate):

awareness – interest —- engagement ———- investment

Thoughts?

My take on “IBM and Desire2Learn Take On Education Data Challenge”

It’s all over Twitter today:

This is an interesting step in data management and analysis and predictive analytics in education. I think what this brings to the front is that analytics is very much a business application, and that applying it to learning changes the education game, considerably. I’m not saying that it’s all bad. In fact, I think there can be a lot of good in it. With any discourse around this, I feel compelled to throw in a couple “let’s be cautious” and “consider the implications” type comments. I’m excited by predictive analytics. They’re neat, and I love all the pretty graphs. Should IBM and D2L be making conclusions and interventions based on the mass of data available? What are the implications and potential pitfalls of having edu-business-borgs making conclusions and giving advice? Consider what can’t and shouldn’t be counted. Let’s be sure to question the robots when they make decisions based on logic like this: