Computational models that automatically detect learners' affective states are powerful tools for investigating the interplay of affect and learning. Over the past decade, affect detectors--which recognize learners' affective states at run-time using behavior logs and sensor data--have advanced substantially across a range of K-12 and postsecondary…

In education and the social sciences, problems of interest to researchers and users of research often involve variables that do not meet the assumptions of regression in the area of an equal interval scale relative to a zero point. Various coding schemes exist that allow the use of regression while still answering the researcher's questions of…

By using a competing risks model, survival analysis methods can be extended to predict which of several mutually exclusive outcomes students will choose based on predictor variables, thereby ascertaining if the profile of risk differs across groups. The paper begins with a brief introduction to logistic regression and some of the basic concepts of…