The Additive Factor Model (AFM) is a cognitive diagnostic model that can be used to predict student performance on items in a context that allows for student learning. Within AFM, "skills" have a learning rate, and student acquisition of a skill depends only on the number of opportunities a student has had to exercise that skill and the…

Background: Current theories of self-regulated learning predict a positive link between student monitoring accuracy and performance: students who more accurately monitor their knowledge of a particular set of materials are expected to more effectively regulate their subsequent study of those materials, which in turn should lead to higher test…

Based on current research and seminal theories on learning, quality, and academic persistence, this study sought to establish the core components of academic quality in higher education and to determine if these components can be used to predict students' intention to persist. This study also looked at differences between traditionally aged…

This study proposes a new method named the IIS-map-based method for analyzing interactions in face-to-face collaborative learning settings. This analysis method is conducted in three steps: firstly, drawing an initial IIS-map according to collaborative tasks; secondly, coding and segmenting information flows into information items of IIS; thirdly,…

This study examined the academic performance of Tech Prep students (referred to as participants) in comparison to non-Tech Prep students (referred to as non-participants) entering a two-year community college from sixteen different high schools in Stark County, Ohio. This study provided a quantitative analysis of students' academic experiences to…