Digital Infrastructure for Personalized Learning at Scale

One of the ideas I'm working with for my upcoming presentation at the iNACOL Blended and Online Learning Symposium is the role that various data initiatives can play in the infrastructure to support personalized learning at scale. This graphic shows some of the key players and concepts in that infrastructure:

Note the learner is in the center, and a continuous measurement-feedback loop is central. Technology is not a complete solution, only an enabler. The data infrastructure is especially important for providing the right kind of immediate feedback to the learner and with educators adjusting learning experiences to learner needs. We know from learning sciences research what works, we just can't do it to scale without the help of technology.

A complete scaled solution must also include innovations in professional roles, practices, organizing principles, and fiscal models. I plan to share thoughts on these other innovation in my session at iNACOL and later in this blog.

I'm also leading a workshop in which participants will design a competency-based "the-learner-is-the-school" model using some resources I've developed.  Here is the session information:

Blending Learning Science, Learning Standards, Process Optimization, and Data Standards for Competency-Based Learning at Scale
Monday, October 28 from 3:30-4:30

Workshop: Design a Competency-Based System/Organization/Culture to Maximize Student Learning Wednesday, October 30 from 10:00-12:15