The term “direct and explicit instruction” is often used to sell products or to persuade state legislators to make bad decisions. But everybody already uses direct instruction in some form. It's not the 'what' of direct instruction that is in question; it's the 'how' and 'how much' of direct instruction. T

Our big human brains have evolved to become very efficient predicting machines (Hawkins, 2004). They are constantly accessing multiple data sources in order to give us a sense of what will happen next. Most of this is done at levels below our conscious awareness. For example, baseball players are able to run to the right spot to catch balls in the outfield because they can predict where it’s going to come down. Their big human brains instantly process a variety of information related to the sound of the bat hitting the ball as well as the height, speed, and angle of trajectory.

The same prediction process is used in language comprehension and reading (Gavard & Ziegler, 2022; Lupyan & Clark). Here, our prediction machine uses semantic, syntactic, and phonological information to make micro-predictions about words and meaning during the process of reading (Goodman, 1967; Laroche & Decon, 2019). Very much like baseball players catching pop flies, this enables us to efficiently and effectively create meaning with the print before us.

The problem with Orton-Gillingham and similar for-profit products (Lindamood, Wilson Language Training, Barton System, etc.) is that they try to reduce teaching to an algorithm. An algorithm is a formula for solving problems in which you follow a step-by-step set of procedures (with fidelity) to achieve a specific outcome. In other words, by correctly following a prescribed set of steps in the specified order, you will be led to a predefined solution. Algorithms are useful in mathematics and computer science for calculation, data processing, and automatic reasoning. For teaching of any kind? Not so much.

However, Orton-Gillingham would have you believe that if the teaching algorithm is followed explicitly, the teacher can be assured that students will learn to read. And if the algorithm does not work, you run them through the algorithm again … and again … and again. What these algorithmic programs offer is a false sense of certainty. Despite all the certainty thrown about, research to support the long-term effectiveness of these “direct, explicit, multi-sensory, structured, sequential, diagnostic, and prescriptive” instruction, it is simply not evident (Compton, et. al., 2014).