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Computer analyses of text characteristics are often used by reading teachers, researchers, and policy makers when selecting texts for students. The authors of this article identify components of language, discourse, and cognition that underlie traditional automated metrics of text difficulty and their new Coh-Metrix system. Coh-Metrix analyzes texts on multiple measures of language and discourse that are aligned with multilevel theoretical frameworks of comprehension. The authors discuss five major factors that account for most of the variance in texts across grade levels and text categories: word concreteness, syntactic simplicity, referential cohesion, causal cohesion, and narrativity. They consider the importance of both quantitative and qualitative characteristics of texts for assigning the right text to the right student at the right time.

How do we go about selecting texts for individualized reading assistance? This sounds like a new way.

Take the Red Pill: A New Matrix of Literacy Journal of Media Literacy Education 2:3 (2011) 209 - 229

Watching video from the Apollo space programme one can't help but notice how things have changed since those days in the early 1970s. Banks of small round rectangular screens, dot matrix printers, a myriad of switches and dials each with a specific task to perform and a design aesthetic that says functionality in mild mannered green. What is missing beside the sort of computing power we carry in our pockets today are women. In the 70s science and engineering was what men did and from a quick look at the statistics there continues to be much room for change.

This is from a website that explains why differentiating instruction is important. It also includes ways to incorporate technology in the classroom to help differentiate lessons.