An investigation of potential success factors for an introductory model-driven programming course
An investigation of potential success factors for an introductory model-driven programming course
复制标题
对模型驱动编程入门课程潜在成功因素的调查
DOI：
10.1145/1089786.1089801
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
M. Caspersen
中科院分区：
文献类型：
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作者：
J. Bennedsen;M. Caspersen
为了改善CS1模型驱动编程课程的课程设计，我们研究了这种课程成功的潜在指标。我们首先解释我们对对象的具体解释。在八个潜在的成功指标中，我们发现只有两个在95%的置信区间内是显着的：高中数学成绩和课程工作。这两个显著性指标解释了考试成绩变异的24.2%。关于数学成绩的结果与早期的发现相矛盾。我们讨论了我们的研究的四个方面：潜在的成功指标的解释力，我们的研究结果对教学的影响，从现有的数据得出什么结论的限制，以及各种各样的概念“对象第一”。由于对“对象优先”的解释多种多样，本研究是必要的，作为对早期研究的补充，以便对对象优先编程的成功因素做出可推广的结果。
In order to improve the course design of a CS1 model-driven programming course we study potential indicators of success for such a course. We explain our specific interpretation of objects-first. Of eight potential indicators of success, we have found only two to be significant at a 95% confidence interval: math grade from high school and course work. The two significant indicators explain 24.2% of the variation of the exam grade. The result concerning math grade contradicts earlier findings. We discuss four aspects of our research: the explanation power of the potential success indicators, the impact of our findings on teaching, limits of what to conclude from the available data, and the variety of the notion "objects-first". Because of the variety of interpretations of "objects-first", the present research is necessary as a supplement to earlier research in order to make generalizable results on the success factors for objects-first programming.