This paper addresses the difficulties students face when learning and practicing pointers (i.e., variables storing the memory address of another variable as its value) in a computer programming class. To improve their understanding and practice, we have ...

Static analysis tools help programmers write better code. In computer science education, such tools can help students identify common style and coding errors, and lead students to fixing them. However, static analysis tools should be deployed in the ...

The cultivation of professionals and the fostering of awareness and literacy surrounding blockchain technology are indispensable because of its unprecedented impact on daily lives. However, the existing blockchain Teaching and Learning (T&L) approaches ...

Large Language Models possess skills such as answering questions, writing essays or solving programming exercises. Since these models are easily accessible, researchers have investigated their capabilities and risks for programming education. This work ...

Large language models (LLMs) such as ChatGPT and Google Bard have garnered significant attention in the academic community. Previous research has evaluated these LLMs for various applications such as generating programming exercises and solutions. ...

There is a constant need for educators to develop and maintain effective up-to-date assessments. While there is a growing body of research in computing education on utilizing large language models (LLMs) in generation and engagement with coding ...

This paper reports an analysis of incremental development: a process in computer science education where students code a little and run their code regularly making continual forward progress. We use a recently published measure of incremental ...

Providing personalized assistance at scale is a long-standing challenge for computing educators, but a new generation of tools powered by large language models (LLMs) offers immense promise. Such tools can, in theory, provide on-demand help in large ...