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glGetFeedback — Towards automatic feedback and assessment for OpenGL 3D modelling assignments

机译:glGetFeedback-实现OpenGL 3D建模任务的自动反馈和评估

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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.
机译:编程作业是计算机科学教育中一种流行的评估工具。这种分配的价值取决于给出快速和详细的形成反馈的速度。由于班级人数众多以及寻找合格标记的成本和困难,这通常是一个问题。对自动评估和反馈工具的研究集中于代码分析和对程序结构(如循环,条件语句和递归)的正确使用。关于自动分析计算机图形分配的研究很少,其中输出是图像而不是文本,并且问题通常具有许多正确的解决方案。在本文中,我们提出了一种新颖的工具,用于自动评估使用OpenGL编程的计算机图形分配。我们的工具使用从OpenGL状态机和渲染管道获得的不变式和中间数据。我们使用3年级大型计算机图形学课程的作业对工具进行了评估,发现人类标记物发现的大多数错误已由我们的应用程序正确识别。

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