This article reports on two quantitative studies of English learners' (ELs) interactions with constructed-response items from a Grade 5 state science test. Study 1 investigated the relationships between the constructed-response item-level variables of English Reading Demand, English Writing Demand, and Background Knowledge Demand and the…

There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…

The sheer quantity of words known (breadth) is strongly predictive of reading comprehension, yet little is understood about how quality of word knowledge (depth) affects comprehension. A group of 35 bilingual and monolingual 5th-grade students worked on developing depth of knowledge of 8 words, culminating in an activity in which the students…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…