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Simple feedback can do the job: Analyzing the effects of simple computer based feedback for fundamental programming tasks

机译:简单的反馈就能胜任:分析基于计算机的简单反馈对基本编程任务的影响

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Although, the importance of Computer Science has been increasing, it must be noted that the drop-out rate among students of STEM subjects unfortunately is among the highest we know in education, worsen the fact that the enrollment rates are relatively small. Thus, we might have to look closer at pedagogical approaches to overcome this problem. The New Zealand educator John Hattie introduced a meta-study called “Visible Learning” in which he mentions feedback to be one of the major factors affecting the success of learning. However, its influence on fundamental programming tasks cannot be investigated properly unless objective, reliable and valid tasks exist that allow a clear inference of the observed performance for the given feedback. For example it would be possible to argue that observed educational “improvements” are in fact the result of a reliability or validity problem. Since tasks for programming fundamentals were often created intuitively, it had to be explored how to get objective, reliable and valid tasks. After their development, an empirical study has shown that simple feedback can indeed make a contribution to the successful learning of programming fundamentals if the corresponding tasks are less complex according to Anderson's taxonomy.
机译:尽管计算机科学的重要性一直在增加,但必须指出的是,不幸的是,STEM科目的学生中的辍学率是我们在教育中所知道的最高水平,这使入学率相对较低的事实变得更糟。因此,我们可能必须更仔细地研究克服这一问题的教学方法。新西兰教育家约翰·哈蒂(John Hattie)推出了一项名为“可见学习”的元研究,他提到反馈是影响学习成功的主要因素之一。但是,除非存在客观,可靠和有效的任务,这些任务可以明确推断给定反馈的观察性能,否则无法正确研究其对基本编程任务的影响。例如,可能会认为观察到的教育“改进”实际上是可靠性或有效性问题的结果。由于编程基础知识的任务通常是直观地创建的,因此必须探索如何获得客观,可靠和有效的任务。在其发展之后,一项实证研究表明,如果根据安德森(Anderson)的分类法,相应的任务不那么复杂,那么简单的反馈确实可以为编程基础知识的成功学习做出贡献。

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