In educational technology and learning sciences, there are multiple uses for a predictive model of whether a student will perform a task correctly or not. For example, an intelligent tutoring system may use such a model to estimate whether or not a student has mastered a skill. We analyze the significance of data recency in making such…

According to the literature, in recent years, developing experiential learning has fulfilled the requirement of a deep understanding of lean philosophy by engineering students, demonstrating the advantages and disadvantages of some of the key principles of lean manufacturing. On the other hand, the literature evidences how some kinds of game-based…

Assessments matter in education. Testing is nothing new; tests have been around as long as school itself. However, over the last 15 years, state assessments have grown to be an increasingly central, and often controversial, part of schooling. As states raise their standards, it is more important than ever to ask: What is a high-quality assessment?…

In this brief, Erik Rice identifies three strategic practices schools, districts, and communities can use to help prepare students for college and career success: (1) To collectively articulate and align a set of student outcomes that prioritize 21st century skills; (2) Transform defined outcomes into functioning frameworks for curriculum and…