GlGetFeedback - Towards automatic feedback and assessment for OpenGL 3D modelling assignments

Blake Hodgkinson, Christof Lutteroth, Burkhard Wunsche

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Programming assignments are a popular assessment tool in Computer Science education. The value of such assignments depends on how fast and detailed formative feedback is given. This is often a problem due to large class sizes and the cost and difficulty of finding qualified markers. Research on automatic assessment and feedback tools has concentrated on code analysis and correct usage of programming constructs such as loops, conditional statements and recursions. Little research has been done on the automatic analysis of Computer Graphics assignments, where the output is an image rather than text, and problems often have numerous correct solutions. In this paper we present a novel tool for the automatic assessment of Computer Graphics assignments programmed using OpenGL. Our tool uses invariants and intermediate data obtained from the OpenGL state machine and rendering pipeline. We evaluated our tool using assignments from a large year 3 Computer Graphics class and found that the majority of errors found by human markers were correctly identified by our application.

Original languageEnglish
Title of host publicationProceedings of the 2016 International Conference on Image and Vision Computing New Zealand, IVCNZ 2016
PublisherIEEE
ISBN (Electronic)9781509027484
DOIs
Publication statusPublished - 3 Jan 2017
Event2016 International Conference on Image and Vision Computing New Zealand, IVCNZ 2016 - Palmerston North, New Zealand
Duration: 21 Nov 201622 Nov 2016

Conference

Conference2016 International Conference on Image and Vision Computing New Zealand, IVCNZ 2016
CountryNew Zealand
CityPalmerston North
Period21/11/1622/11/16

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    Hodgkinson, B., Lutteroth, C., & Wunsche, B. (2017). GlGetFeedback - Towards automatic feedback and assessment for OpenGL 3D modelling assignments. In Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, IVCNZ 2016 [7804418] IEEE. https://doi.org/10.1109/IVCNZ.2016.7804418