A plugin for the INGInious autograder to annotate programs with subgoal labels

Details

Supervisors

Mens, Kim ; Goletti, Olivier

Faculty

Ecole polytechnique de Louvain

Degree label

Master [120] : ingénieur civil en informatique, à finalité spécialisée

Abstract

In our rapidly evolving society, computers and programming are integral to shaping the future. As such, there is a pressing need to make computer science education more accessible to novice learners. Computer Science Education Research has explored various pedagogical strategies, with one promising approach being subgoal learning, which breaks down tasks into smaller, manageable steps. To support such learning strategies, automatic grading platforms like INGInious have emerged, offering instant feedback and autograding capabilities. The objective of this thesis is to develop, test, and validate a plugin for the INGInious autograder that enables educators to create exercises incorporating subgoal learning strategies.