In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…

A distinguishing feature of English learners (ELs) centers on coming from homes in which a language other than or in addition to English is used, but bilingualism itself is not a risk factor for low academic achievement. Yet in the United States, ELs' reading achievement continues to lag behind that of their English-proficient peers. In this…

Scientific progress is built on research that is reliable, accurate, and verifiable. The methods and evidentiary reasoning that underlie scientific claims must be available for scrutiny. Like other fields, the education sciences suffer from problems such as failure to replicate, validity and generalization issues, publication bias, and high costs…