Throughout my career, I’ve been a data-first researcher, and theory has always been one of my weak areas. This is not to say that I dismiss the importance of theory: I appreciate danah boyd and Kate Crawford’s critique of Chris Anderson’s “the numbers speak for themselves” in their 2012 paper Critical Questions for Big Data as much as I appreciate Catherine D’Ignazio and Lauren Klein’s similar critique in their book Data Feminism. It’s just that while I agree that theory is important, I’ve never been well-versed in it—except for the loose theoretical framework of sociocultural learning, multiple literacies, and social communities and spaces that I bring to much of my work (even that work that has gone beyond educational technology research.