Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach
Discovery of Interconnection Among Knowledge Areas of Standard Computer Science Curricula by a Data Science Approach
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通过数据科学方法发现标准计算机科学课程知识领域之间的互连
DOI：
10.1007/978-3-319-70139-4_19
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Yamaguchi Kazunori
中科院分区：
文献类型：
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作者：
Matsuda Yoshitatsu;Sekiya Takayuki;Yamaguchi Kazunori
《计算机科学课程2013》(CS2013)是由ACM和IEEE计算机学会联合开发的一门广泛使用的计算机科学标准课程。CS2013包括18个知识领域(KA)，如编程语言和软件工程。虽然很明显，KA之间存在着很强的相互联系，但客观和定量地考察这种联系是困难的。本文用数据科学的方法研究了CS2013的KA之间的互联关系。为此，我们收集了世界一流大学的实际教学大纲。然后，通过一种基于概率模型的方法，将每个实际的大纲投影到KA空间，该方法被称为简化的、有监督的潜在狄利克雷分配(SSLDA)。结果发现：(1)各教学大纲中的知识吸收之间存在高度的联系；(2)利用这些联系，发现了知识吸收的一个合理的层次结构；(3)这种结构表明，知识吸收分为三个主要的独立因素(人、理论和实施)。实施因素可分为程序性因素和制度性因素。系统因素又可分为设备因素和网络因素。
Computer Science Curricula 2013 (CS2013) is a widely-used standard curricula of computer science, which has been developed jointly by the ACM and the IEEE Computer Society. CS2013 consists of 18 Knowledge Areas (KAs) such as Programming Languages and Software Engineering. Though it is obvious that there are strong interconnections among the KAs, it was hard to investigate the interconnections objectively and quantitatively. In this paper, the interconnections among the KAs of CS2013 are investigated by a data science approach. For this purpose, a collection of actual syllabi from the world’s top-ranked universities was constructed. Then, every actual syllabus is projected to the KA space by a probabilistic model-based method named simplified, supervised Latent Dirichlet Allocation (denoted by ssLDA). Consequently, the following interesting properties of the interconnections among the KAs were discovered: (1) There are the high interconnections among the KAs in each syllabi; (2) A plausible hierarchical structure of the KAs is found by utilizing the interconnections; (3) The structure shows that the KAs are classified into the three principal independent factors (HUMAN, THEORY, and IMPLEMENTATION). The factor of IMPLEMENTATION can be divided into PROGRAMMING and SYSTEM. The factor of SYSTEM can be divided further into DEVICES and NETWORK.