Have we missed something?: identifying missing types of research in computing education

Have we missed something?: identifying missing types of research in computing education
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我们错过了什么吗?:识别计算机教育中缺失的研究类型

DOI:
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发表时间:
2010
期刊:
International Computing Education Research Workshop
影响因子:
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通讯作者:
L. Malmi
L. Malmi
中科院分区:
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文献类型:
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作者:
P. Kinnunen;V. Meisalo;L. Malmi

文献摘要

被引文献

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在这篇文章中,我们介绍了一种新的方法来对现有的教育研究进行分类,从而有可能找到以前被忽视的新的研究主题。这一新的分类系统是基于研究论文的教学重点。我们的分类方案不像以前出版的分类系统那样是数据驱动的,而是从教学三角派生出来的,这是一个描述教-学-学过程要素的理论模型。 基于教学重点的分类系统可以用来促进计算机教育研究(CER)社区内关于缺失研究重点类型的讨论。此外,新的分类系统支持对已发表的研究论文进行元层次分析,从而有助于讨论经济、社会和文化权利委员会的目标和现状。我们分析了以前存在的分类系统,并描述了我们的系统有何不同。最后,我们给出了两个如何应用新的理论分类系统的例子。首先,我们使用2005-2009年ICER会议上发表的研究论文作为我们的原始材料来说明如何应用新的理论分类系统来揭示一些似乎没有得到CER社区关注的新研究领域。第二个例子突出了如何使用分类系统来寻找某些特定研究领域被忽视的研究主题(在我们的例子中,学生在CS1中取得了成功)。
In this paper, we introduce a new way to categorise existing educational research making it possible to find new previously overlooked research topics. This novel categorisation system is based on the didactic foci of the research papers. Our categorisation scheme is not data driven as in previously published categorisation systems but is derived from the didactic triangle, which is a theoretical model describing the elements of a teaching-studying-learning processes. The didactic-focus-based categorisation system can be used to promote discussion about missing types of research foci within the computing education research (CER) community. In addition, the new categorisation system supports meta-level analysis of published research papers and thus contributes to the discussion of the goals and the present state of CER. We analyse previously existing categorisation systems and describe how our system differs. Finally, we give two examples how to apply the new theoretical categorisation system. First, we use research papers published in ICER conferences 2005-2009 as our source material to illustrate how to apply the new theoretical categorisation system for revealing a number of areas for novel research such that seem to have received little attention from the CER community. The second example highlights how the categorisation system can be used to find overlooked research topics on some specific research area (in our example students' success in CS1).