The Inevitable Blog

I don’t know if you’ve noticed lately, but there are a whole lot of apps, tools and summat being developed in the learning space. So, what’s wrong with that, Ms. Buzzkill? I guess just the fact that most of them may have very little to do with actual learning. Bitter, party of one Instructional Architect, I know.

It’s just me, dancing the mambo with Maks, Val, Karina and Sharna. Oh, and 2,000 or so of my fellow Seattleites.

Having been in corporate and higher education for most of my life, one thing is clear: The systems that have been created for learning – really from cradle to grave – have serious shortcomings.

This is why your employees hate training: In 1970, author Alvin Toffler suggested that too much information can affect understanding and decision making. In 1970! Before computers, iPhones, tablets, the Internet, apps and the freaking cloud.

Learners experience and connect with the world in as many ways as there are individual people. How can the robust complexity of these thoughts, intentions, and actions be collected and evaluated to determine performance? Get ready for the acronyms.

I met someone at @mLearnCon. I suppose I looked like his type. When I say type, I mean: a woman. By type, a woman to ask this question: Why don’t women code? I hesitated a moment because I knew what the answer was and I knew it usually brought with it a quizzical look from those who asked me.

I am a mLearning Evangelist. I have been a proponent of real-time decision support for all of my career. I remember working it into a design in 1992, and when it was previewed hearing that “they really didn’t think the Internet was going to catch on.” That was fun.

I know who understands me. He knows what I need before I need it. He is so helpful