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

Vankelegom, Joseph
(2024)

Files

Vankelegom_83041700_2024.pdf
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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.