Most existing research indicates that working students perform more poorly than do full-time students on standardized achievement tests. However, we know there are wide international variations in this gap. This article shows that national and international contexts help to explain the gap in the academic performance between working and nonworking…

The last decade has witnessed considerable interest in the investigation of the affective dimensions of learning and in the development of advanced learning technologies that automatically detect and respond to student affect. Identifying the affective states that students experience in technology-enhanced learning contexts is a fundamental…