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Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
Jung, Jisun; Lee, Soo Jeung – Journal of Higher Education Policy and Management, 2016
Obtaining a tertiary degree no longer guarantees entry to the best occupational positions in today's labour market. Success is no longer about "more" education, but about "better" education for university graduates. This study aims to understand whether university prestige in Korea accounts for occupational outcomes in both…
Descriptors: Foreign Countries, Universities, Reputation, Influences
Montrosse, Bianca Elizabeth; Young, Christopher J. – Teacher Education and Special Education, 2012
Since 1988, researchers have monitored the extent and severity of the chronic special education (SE) faculty shortage. The present study sought to add to this knowledge base by (a) gathering data on the supply and demand of leadership personnel in SE since the "2001 Faculty Shortage Study"; (b) combining and comparing these data with other sources…
Descriptors: Evidence, Supply and Demand, Doctoral Programs, Labor Market

St. Louis, Robert D.; And Others – Journal of Human Resources, 1986
Compares self-reported job search contacts of unemployment insurance recipients with independently verified job-search contacts. The separate equations estimated for reported and actual job contacts suggest that systematic misreporting may distort the conclusions. Some implications of the findings for reported unemployment rates also are explored.…
Descriptors: Data Analysis, Data Collection, Job Search Methods, Research Methodology