3 citations · 3 across the 3 of their papers we have counts for
3 papers
Clustering MOOC Programming Solutions to Diversify Their Presentation to Students
Elizaveta Artser, Anastasiia Birillo, Yaroslav Golubev +4
In many MOOCs, whenever a student completes a programming task, they can see previous solutions of other students to find potentially different ways of solving the problem and to l…
Detecting Code Quality Issues in Pre-written Templates of Programming Tasks in Online Courses
Anastasiia Birillo, Elizaveta Artser, Yaroslav Golubev +4
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 datase…
Analyzing the Quality of Submissions in Online Programming Courses
Maria Tigina, Anastasiia Birillo, Yaroslav Golubev +3
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 t…