As computing becomes a mainstream discipline embedded in the school curriculum and
acts as an enabler for an increasing range of academic disciplines in higher education, the …

Recent advances in artificial intelligence have been driven by an exponential growth in
digitised data. Natural language processing, in particular, has been transformed by machine …

The teaching and assessment of introductory programming involves writing code that solves
a problem described by text. Previous research found that OpenAI's Codex, a natural …

It is often debated whether a problem presented in a straightforward minimalist fashion is
better, or worse, for learning than the same problem presented with a" real-life" or" concrete" …

The abstraction of student code for use in automated analysis is a key challenge. The code
must be processed in a manner that reveals interesting properties while reducing the" noise" …

CS education (CSEd) builds on educational materials, such as textbooks, presentation
slides, labs, and question test banks. Over the past 10-20 years, those materials have grown …

We investigated implications of transparent mechanisms in the context of an introductory
object-oriented programming course using Python. Here transparent mechanisms are those …

Constructed-response, code-tracing questions (" What would Python print?") are good
formative assessments. Unlike selected-response questions simply marked correct or …

Programming, where problem solving and coding come together, is cognitively demanding.
Whereas traditional instructional strategies tend to focus on language constructs, the …

The Rainfall problem has been widely used to explore plan composition and programming
errors by CS1 students. This work introduces the Inchworm problem, a conceptually …