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http://dx.doi.org/10.7838/jsebs.2017.22.4.193

A Comparative Analysis of Curriculums for Software-related Departments based on Topic Modeling  

Choi, Jaewon (Soonchunhyang University)
Lee, Ho (Software Policy & Research Institute)
Kim, Jungmin (Software Policy & Research Institute)
Song, Juho (Korea Software Industry Association)
Publication Information
The Journal of Society for e-Business Studies / v.22, no.4, 2017 , pp. 193-214 More about this Journal
Abstract
It is a very important time to check how SW curriculum is actually organized and what is inadequate to practical requirements of SW manpower in the present situation where there is a difference of viewpoints between software field and SW curriculum of university. In overseas cases, efforts have already been made to cultivate SW manpower based on SW training centered on practical requirements. As a result, there is a positive response to the recruitment of actual related companies. In Korea, these attempts have been attempted under government initiative. In particular, based on the SW-centered university project, it has given the role of a leading university in related fields. However, with regard to the labor supply problem in the SW sector, the requirements of the business enterprises still differ from the educational curriculum. In this study, we tried to diagnose the method that can reduce the difference between the composition and the practice of the contents according to the existing limit that the environment factor of the viewpoint of the working companies about the curriculum composition is not clearly reflected. As a result, the topic modeling based on the university's curriculum and lecture plan data is used to derive keywords for curriculum and lecture plan. Through the data analysis, this study confirmed that the practice rate of related university departments utilized in data analysis is relatively low. In addition, we found that it is important to establish a systematic curriculum and to build a lecture plan to cultivate practical skills, as the number of overlapping textbooks and the number of keyword overlapping are found.
Keywords
Topic Modeling; SW Manpower; Curriculum Analysis; Class Syllabus Analysis; LDA;
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