Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…

Aiming to collect various concepts, approaches, and strategies for improving computer science education in K-12 schools, we edited this second special issue of the "ACM TOCE" journal. Our intention was to collect a set of case studies from different countries that would describe all relevant aspects of specific implementations of…

Background: Advocates of the project method claim that project-based learning inspires student learning. However, it has been claimed that project-based learning environments demand quite a bit of self-regulation on the part of the learner. Aims: Consequently, it was tested whether students scoring low in self-regulation of learning experienced…