We present a new system for automated scoring of graph construction items that address complex science concepts, feature qualitative prompts, and support a range of possible solutions. This system utilizes analysis of spatial features (e.g., slope of a line) to evaluate potential student ideas represented within graphs. Student ideas are then…

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…

The purpose of this study was to examine the effect Serious Educational Games (SEGs) had on student interest in science in a federally funded game-based learning project. It can be argued that today's students are more likely to engage in video games than they are to interact in live, face-to-face learning environments. With a keen eye on…

Virtual K-12 schools have rapidly become a popular choice for parents and students in the last decade. However, little research has been done on the instructional practices used in virtual courses. As reflected in the central research question, the purpose of this study was to explore how teachers provided instruction for Grade 7-10 students in…