I’m fortunate to be in one of those rare “between projects, take inventory, reflect and reorient” periods, that I know I too often have frittered away before I came to know their value. After being head down and focused on a project for the better part of eight months, I’m catching up on lots of things – including blogging.
This morning I stumbled across two videos from Chief Learning Officer magazine that I thought encapsulate where learning technology is and how we learning professionals need to think/prepare for it.
Both feature Casper Moerck, head of learning technology at Siemens. In the first, he talks about the state and future of learning technologies being quite muddled and uncertain.
While I agree with everything Moerck says in this video, I do think that there is a strong movement to building learning technology ecosystems with multiple tools that are interoperable with each other and other “non-learning” technologies. This puts a great pressure on the development of secure connector (enterprise safe versions of IFTTT or Zapier), data interoperability standards (xAPI), and understanding of such tools by learning professionals.
In the second video, Moerck advocates for learning professionals to gain a basic understanding of Artificial Intelligence, Machine Learning, and Natural Language Processing.
Again, I agree with all he says in this video, but I would extend the need for and benefit of this basic understanding to beyond understanding the technology and being able to check vendor claims.
Understanding AI, ML, and NLP (along with augmented/virtual reality and the Internet of Things) will also be required because they are going to dramatically impact instructional design, delivery of learning experiences, and our ability to report the success of those experiences.
Your turn: Are you personally addressing your knowledge in these areas? How is your learning team preparing? Please share your thoughts in the reply section below.