Learning Engineering Resources from Yet Analytics

“Note that Learning Engineering is not about technology in the sense that it might be misconstrued as a catch-all term for edtech and learning technologies. And it is not a novel buzzword for Instructional Design, as much of what goes on in a Learning Engineering solution — especially in the realm of technical data instrumentation and global standards alignment — is either parallel to, complementary towards, or wholly outside the realm of Instructional Design. Rather, Learning Engineering is an exercise whereby one should first engage problems in the mind’s eye — calibrating the required points of contact between what presumably goes on in a learning experience, what can more descriptively be known about what goes on in a learning experience through the capturing and analysis of formative data, and what technical (or practical) capabilities would provide the most elegant and secure manner of capturing such data and modeling it for the realization of efficient and meaningful use either by humans or by machines — whereby the objective is to improve learning outcomes and to scale one’s improvements. All of this idealized, it is then the task to identify and collaborate with those who have the myriad skills required to turn solution concepts into solution implementations. And then, and only then, is it time to apply those solution implementations in the physical (or digital) world in ways that are testable and which are necessary to meet the objectives.” — Shelly Blake-Plock, Notes on Learning Engineering (2024)