In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…

Mathematical literacy (ML) is considered central to the application of mathematical knowledge in everyday life and thus is found in many comparative international educational standards. However, there exists barely any evidence about predictors and outcomes of ML having a lasting effect on achievement in nonmathematical domains. We drew on a large…

This study examined the relationship between middle school students' personality type and their academic performance in the technology courses in which they participated. It also explored the differences in technology use by personality. Most participants identified games as a favorite pas-time. However, there were some noted temperamental…

The aim of this research was to investigate whether particular socio-demographic characteristics of pupils in lower secondary education, their level of computer selfefficacy and motivation for using digital media in class are considered significant predictors of constructivist learning. Furthermore, the aim was to investigate the characteristics…

In the study of the Technology Immersion model, high-need middle schools were "immersed" in technology by providing laptops for each teacher and student, instructional and learning resources, professional development, and technical and pedagogical support. This article reports third-year findings for the teacher component of the…