Revising the Curricula of Higher Education to Connect to the Job Market: An Approach Based on Job Description Mining

DOI

10.2991/assehr.k.210513.040How to use a DOI?

Keywords

Job Description, Curriculum Revision, Knowledge Base, Semantics Analysis, Word Vector

Abstract

For sustainability to realize its full transformative potential in higher education and society, it must connect sustainability skills and competences to the job market and to enable future as well as current practitioners and decision makers to become agents of transition toward Sustainability. This paper presents a new method to quickly extract job knowledge base and capability requirements from job description text, which is based on word vector search semantics obtained by skip-gram neural network model. It further comparative analyses the capability needs found with the current curriculum system and then revises the curriculum of higher education. Compared with the traditional questionnaire survey method, this method has the advantages of quickly and accurately reflecting the needs of commercial society for workers and quickly extracting the abilities needed, and provide some references for universities to revise curricula with and promote the realization of the Sustainable Development Goals.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhixuan Chen
PY  - 2021
DA  - 2021/05/14
TI  - Revising the Curricula of Higher Education to Connect to the Job Market: An Approach Based on Job Description Mining
BT  - Proceedings of the 6th International Conference on Education Reform and Modern Management (ERMM 2021)
PB  - Atlantis Press
SP  - 175
EP  - 183
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210513.040
DO  - 10.2991/assehr.k.210513.040
ID  - Chen2021
ER  -