When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…

We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…

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…

This article focuses on qualitative self-report data from a mixed-methods study which investigated Grade 5 and 6 (n = 274), 11-12-year-old, Irish-medium (IM) immersion students' improvement in linguistic accuracy in response to an explicit-inductive approach to form-focused instruction (FFI). A series of typographically enhanced PowerPoint slides…

This article presents results from an initial investigation of Greek oral reading fluency and prosody. Although currently held perspectives consider reading the product of reading decoding and reading comprehension, there is enough evidence (both Greek and foreign) to suggest that other variables may affect reading, as well. Such variables include…