A recent ITiCSE working group investigated when and how experts give feedback and hints at steps novice programmers take when solving programming problems. Based on the feedback literature and an analysis of expert feedback on steps, the working group ...

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 ...

In recent times, artificial intelligence (AI) is a topic of interest and relevance. Especially ChatGPT has been the target of all attention, attracting for itself great curiosity and fear. The area of education is no exception, it is important to ...

In this work, we developed an algorithm for detecting code quality issues in the templates of online programming tasks, validated it, and conducted an empirical study on the dataset of student solutions. The algorithm consists of analyzing recurring ...

Programming education should aim to provide students with a broad range of skills that they will later use while developing software. An important aspect in this is their ability to write code that is not only correct but also of high quality. ...

Every year, millions of students learn how to write programs. Learning activities for beginners almost always include programming tasks that require a student to write a program to solve a particular problem. When learning how to solve such a task, many ...

Every year, millions of students learn how to write programs. Learning activities for beginners almost always include programming tasks that require a student to write a program to solve a particular problem. When learning how to solve such a task, many ...

In software engineering, it is not enough to simply write code that only works as intended, even if it is free from vulnerabilities and bugs. Every programming language has a style guide and a set of best practices defined by its community, which help ...

Student success in introductory programming courses is a widespread concern. Success does not depend only on the individual characteristics of each student, but there is a set of factors that can interfere with academic performance. Especially in ...

In a technological age of great and rapid changes, for today's students are not enough to know how to use all new technologies. To face the difficult job market in the area of information technology, students must have programming skills. Especially in ...

Meta-cognitive skills and problem solving skills are weak among learners in learning programming and trainers focus much more on the syntax of the languages. These skills are fundamental in learning programming and are one of the causes of dropout, but ...

In the last few decades, numerous tutoring systems and assessment tools have been developed to support students with learning programming, giving hints on correcting errors, showing which test cases do not succeed, and grading their overall solutions. ...

We present in this paper the results of a randomized control trial experiment that compared the effectiveness of two instructional strategies that scaffold learners' code comprehension processes: eliciting Free Self-Explanation and a Socratic Method. ...

Programming is difficult and requires a lot of work and dedication from the students and teachers. Programming is part of the curriculum of many courses, but especially in computer science, and most teaching and learning is problematic. Despite all the ...

Using two 2 x 3 in-situ experiments in an introductory programming course, we study the effect of representation and engagement on the instructional efficiency of learning materials. In the experiments, we controlled for used representation and the ...

Dynamically adaptive Parsons problems are pieces of code that must be ordered and indented correctly. Performance on prior problems determines the difficulty of subsequent ones. These problems comprise an adaptive learning system that dynamically adapts ...

Research on the impact of static analysis tools on software quality is often targeted towards practitioners or open source projects in general. Research in the field of software education concentrates on the usefulness of static analysis in introductory ...

Background. Learning programming is a cognitively demanding field of study accompanied with various difficulties. Although there is a high demand in the market for programmers, software analysts and engineers, a high dropout rate is recorded in relevant ...

It is consensual to consider teaching and learning programming difficult. A lot of work, dedication, and motivation are required for teachers and students. Since the first programming languages have emerged, the problem of teaching and learning ...