Computer-based plagiarism detection methods and tools: an overview
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Proceedings of the 14th Western Canadian Conference on Computing Education
Recognizing computational thinking patterns
Proceedings of the 42nd ACM technical symposium on Computer science education
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High dimensional cosine calculation is a tool that is often used to discover the similarity between two vectors in semantic space. This research uses vector similarities to create a novel way of visually representing the submitted work of a whole classroom of students over the course of a semester. Using a high dimensional cosine calculation, every student assignment submission is compared to one another in the Educational Game Design Class, an undergraduate/graduate programming class taught in Spring 2009 at the University of Colorado Boulder. This is accomplished by first converting every student submission into a representative vector based on submission project code. Through creating a visualization of these similarity scores, called a 'Similarity Matrix', interesting patterns begin to emerge indicating notable phenomena such as class 'watershed moments' and relative in-class effectiveness of presented programming concepts.