Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…

This study examined the relationship of different measures of syntactic complexity with rated quality for two genres of text produced by middle school students. It was hypothesized that different measures would be associated with distinct aspects of syntactic complexity; words per clause with greater use of structures more typical of expository…