Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/327160 
Year of Publication: 
2022
Citation: 
[Journal:] Journal of Innovation & Knowledge (JIK) [ISSN:] 2444-569X [Volume:] 7 [Issue:] 3 [Article No.:] 100190 [Year:] 2022 [Pages:] 1-10
Publisher: 
Elsevier, Amsterdam
Abstract: 
This research provides a comprehensive, first-of-its-kind, in-depth, data-driven analysis of the discussions on 'curriculum alignment' in the light of 'learned skills' and 'acquired skills', as illustrated by cross-disciplinary records in Scopus. It was undertaken from 2010 to 2021 on 10,214 data points obtained to fully grasp the issues, names and themes that have contributed to the field over the past decade, and it presents the case for the increased value and new application of bibliometric analyses. When faced with scholarly research not included in Scopus, on the one hand, and links between previously divided research groups, on the other, ensuring the compatibility of the various scientific information archives is essential. Only in this manner can the research artefacts be made evident, the concerns and problems that have been either overlooked or under-researched be identified, and practical debate between academia and policymakers be facilitated.
Subjects: 
Acquired skill
Big data analytics
Higher education
Job market
Required skill
Skill gap
University curriculum
Upskill
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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