Sustainable education is a crucial aspect of creating a sustainable future, yet it faces several
key challenges, including inadequate infrastructure, limited resources, and a lack of …

Recent years have witnessed an increased interest in online education, both massive open
online courses (MOOCs) and small private online courses (SPOCs). This significant interest …

Tools for automatic grading programming assignments, also known as Online Judges, have
been widely used to support computer science (CS) courses. Nevertheless, few studies …

Predicting student performance as early as possible and analysing to which extent initial
student behaviour could lead to failure or success is critical in introductory programming …

Prediction of student performance in introductory programming courses can assist struggling
students and improve their persistence. On the other hand, it is important for the prediction to …

Using machine learning to predict students' dropout in higher education institutions and
programs has proven to be effective in many use cases. In an approach based on machine …

Student persistence and retention in STEM disciplines is an important yet complex and multi-
dimensional issue confronting universities. Considering the rapid evolution of online …

As programming must be learned by doing, introductory programming course learners need
to solve many problems, eg, on systems such as' Online Judges'. However, as such courses …

There is a high failure rate and low academic performance observed in programming
courses. To address these issues, it is crucial to predict student performance at an early …

Problem-Based Learning (PBL) is a popular approach to instruction that supports students to
get hands-on training by solving problems. Question Pool websites (QPs) such as …