Measuring Global Competency as the Role of IR

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In Japanese higher education, indicators for measuring 21st century-type competency is in the process of research and development. We present the measurements of global competency based on a case study of the Shibaura Institute of Technology from the role of Institutional Research (IR). In 2019, we conducted a pilot survey to measure the effects of the global competency of study abroad programs. As Suskie (2014) argues, Institutional Researchers have capacity measuring competencies on co-curricular activities such as study abroad programs. According to her, there are five advantages of the IR to measure competencies as their role. These are (1) based on the mission and policy of the institutions, (2) not only students, but also alumni, employers, regional society, (3) across the institutional culture of silos, (4) with appropriately and systematically, and (5) effective improvement of the program. However, it seems to require further cooperation with the FD/SD officers.

Original languageEnglish
Title of host publicationProceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
EditorsTokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono, Sachio Hirokawa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages366-369
Number of pages4
ISBN (Electronic)9781728173979
DOIs
Publication statusPublished - 2020 Sep
Event9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020 - Kitakyushu, Japan
Duration: 2020 Sep 12020 Sep 15

Publication series

NameProceedings - 2020 9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020

Conference

Conference9th International Congress on Advanced Applied Informatics, IIAI-AAI 2020
Country/TerritoryJapan
CityKitakyushu
Period20/9/120/9/15

Keywords

  • cross-sectoral organization
  • global competency
  • MGUDS-S
  • quality assurance
  • role of IR

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management

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