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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
Segrist, Kathleen A.; Tell, Brian; Byrd, Vicki; Perkins, Susie – Educational Gerontology, 2007
The Retirement Research Foundation of Chicago supported a collaborative to collect demographic data about working and aging, conduct a survey of older job seekers, and interview businesses in the region to assess their awareness and attitudes about mature workers. The 2005 project was titled the 60 + Success Project. A regional task force oversaw…
Descriptors: Maturity (Individuals), Labor Force, Job Applicants, Nonprofit Organizations
Oppliger, Jurg – 1997
This book presents step-by-step guidelines to getting a job. The following are among the topics discussed in the book's 13 chapters: (1) assessing one's salable skills (identifying likes and dislikes, determining strong and weak points, assessing skills and knowledge, identifying areas for improvement); (2) identifying one's ideal job (describing…
Descriptors: Adult Education, Career Education, Career Planning, Check Lists