Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…

The act of creating meaning with texts is complex, and this complexity creates unclear views of instruction in schools and even greater perplexity in knowing how to instruct students who may be struggling in this area of their schoolwork. Comprehension is often measured in schools as a product and an outcome, making it difficult to understand why…

In a paper published in "The Language Learning Journal" in 2005, Eric Hawkins describes his vision of language education as an apprenticeship comprising two stages. In stage one (ages 5-14), the purpose is "educational" and the focus is on language awareness; in stage two (14-19), the purpose is "instrumental" and…