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Naude, Kevin A.; Greyling, Jean H.; Vogts, Dieter – Computers & Education, 2010
We present a novel approach to the automated marking of student programming assignments. Our technique quantifies the structural similarity between unmarked student submissions and marked solutions, and is the basis by which we assign marks. This is accomplished through an efficient novel graph similarity measure ("AssignSim"). Our experiments…
Descriptors: Grading, Assignments, Correlation, Interrater Reliability
Ala-Mutka, Kirsti M. – Computer Science Education, 2005
Practical programming is one of the basic skills pursued in computer science education. On programming courses, the coursework consists of programming assignments that need to be assessed from different points of view. Since the submitted assignments are executable programs with a formal structure, some features can be assessed automatically. The…
Descriptors: Computer Science Education, Assignments, Student Evaluation, Program Effectiveness
Debuse, J.; Lawley, M.; Shibl, R. – Journal of Information Systems Education, 2007
Providing detailed, constructive and helpful feedback is an important contribution to effective student learning. Quality assurance is also required to ensure consistency across all students and reduce error rates. However, with increasing workloads and student numbers these goals are becoming more difficult to achieve. An automated feedback…
Descriptors: Feedback (Response), Assignments, Quality Control, Student Attitudes