Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …

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

Analysis of programming process data has become popular in computing education
research and educational data mining in the last decade. This type of data is quantitative …

Programming education has become an essential skill for the digital generation. However, it
presents a unique set of challenges that can be difficult for beginners. Educational data …

This full paper in the research track evaluates the usage of data logged from cybersecurity
exercises in order to predict students who are potentially at risk of performing poorly. Hands …

Computing educators and researchers have used programming process data to understand
how programs are constructed and what sorts of problems students struggle with. Although …

In the digital age, programming education has become increasingly important, even in
primary schools. However, introducing programming at such an early stage presents unique …

Student performance prediction aims to build models to help educators identify struggling
students so they can be better supported. However, prior work in the space frequently …

Educational data mining (EDM) is a part of applied computing that focuses on automatically
analyzing data from learning contexts. Early prediction for identifying at-risk students is a …

Student dropout is a worldwide problem that affects an entire society; thus, being of great
concern for academic institutions that seek to retain their students through different …