The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…

Analyzing log data from educational video games has proven to be a challenging endeavor. In this paper, we examine the feasibility of using cluster analysis to extract information from the log files that is interpretable in both the context of the game and the context of the subject area. If cluster analysis can be used to identify patterns of…

Since the passage of the No Child Left Behind Act (NCLB) in 2001, public school systems have been engaged in a system of educational reform fueled by a level of accountability that includes not only the performance of the students, but also the performance of the teachers and the administrators. Recent studies have found that student achievement…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…

The authors describe an innovative technique for using Classification and Regression Tree (CART) with student characteristics, including geographical data for analyzing student enrollment patterns between students who enroll within a community college district (stayers) and those who enroll outside the district (movers) at neighboring community…