Computer & Education
Online ISSN : 2188-6962
Print ISSN : 2186-2168
ISSN-L : 2186-2168
Pedagogical Articles
Data-Driven Industry Research Using Database Built through In-Class Mass Collaboration
Tetsuya Onoda Akihiko ShibataNoriyuki YabeMakiko AnbaiShintaro Tanaka
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JOURNAL FREE ACCESS

2023 Volume 54 Pages 60-65

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Abstract

 In Japan there is a recruitment problem in which a high number of recently graduated employees express dissatisfactions with their employers. To solve this problem, it is becoming a requirement for students to understand two things. Industry economic trends, and necessary skills in relation to the respective industry. Therefore, various universities have provided students with an “industry research” course. However, these courses neglect to provide students with accurate information, as they are typically based on research from industry leading companies. Our course featured in this paper has two unique points. The first is “mass collaboration.” A large number of students work together to contribute to and run a large corporate database. The second being “data-driven.” This allows students to conduct industry research based on analysis of their collective data. The results of a questionnaire provided to the students proved that they mastered industry research methods through the above exercises, and their interest in unfamiliar companies were broadened.

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© 2023 CIEC
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