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Algorithmic Grading Strategies for Computerized Drawing Assessments

机译:计算机绘图评估算法分级策略

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Introductory mechanics courses have important learning objectives focusing on students' ability to accurately draw or sketch particular types of diagrams, such as free body diagrams and graphs of shear forces and bending moments in beams. To achieve mastery of these drawing skills it is essentia] that students have many opportunities to practice and that they receive rapid and accurate feedback on whether they are drawing the correct diagram for a given mechanical problem. With the growing student enrollment in many engineering programs, however, it becomes increasingly difficult to provide prompt and accurate grading using the traditional approach of having students submit hand-drawn diagrams which are graded by a teaching assistant or grader. One way to circumvent this overwhelming grading process in large classes is to adopt multiple-choice questions. Unfortunately, assessing drawing skills using a multiple-choice instrument is mostly limited to testing students' interpretation of given drawings, rather than testing their ability to construct new drawings themselves. For example, research was conducted to investigate the validity of the use of multiple-choice questions to assess graphing abilities2. A group of students were asked to select the graph that best represented a situation, while a second group of students had to construct the graph that best represented the same situation. The results indicated that students obtained lower performance when responding to multiple-choice questions and concluded that the use of multiple-choice instruments to assess graphing abilities may be invalid.
机译:介绍性机械课程具有重要的学习目标,重点是学生准确地绘制或绘制特定类型的图表,例如自由体图和横梁中的剪切力和弯曲时刻。为了实现这些绘图技能的掌握,它是essentia,学生有很多机会练习,并且他们可以获得关于它们是否正在绘制给定的机械问题的正确图表的快速准确的反馈。然而,随着许多工程方案的越来越多的学生注册,使用传统的方法提交由教学助理或年级学生评级的传统方法越来越难以提供迅速和准确的分级。一种规避大型课程的压倒性分级过程的一种方法是采用多项选择题。不幸的是,使用多项选择仪器评估绘制技能主要是限于测试学生对给定图纸的解释,而不是测试他们构建新图纸本身的能力。例如,进行了研究以调查使用多项选择题的有效性来评估绘图能力2。一群学生被要求选择最能代表一种情况的图表,而第二组学生必须建立最能代表同样情况的图表。结果表明,在响应多项选择题时,学生可以获得较低的性能,并得出结论,使用多种选择仪器来评估图形能力可能无效。

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