Accelerating Student Learning for Taxonomy Design Work: Rapid Onboarding Through Consultant-Internships
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Description
This paper uses template analysis methodology to examine skills and competences relevant to taxonomy design work, and the soft skills that employers both demand and struggle to articulate.
Situated at the intersection of people, technology, and information, the College of Information's faculty, staff and students invest in innovative research, collaborative partnerships, and student-centered education to serve a global information society. The college offers programs of study in information science, learning technologies, and linguistics.
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Description
This paper uses template analysis methodology to examine skills and competences relevant to taxonomy design work, and the soft skills that employers both demand and struggle to articulate.
Physical Description
3 p.
Notes
Abstract: Consultant-internships are effective for rapid onboarding of higher education students into knowledge management (KM) positions, supporting them in bridging concepts and theories from their coursework into real-world information design and analysis projects. Building on a recently completed case study, this research uses template analysis methodology to examine skills and competences relevant to taxonomy design work, and the soft skills that employers both demand and struggle to articulate. This dual combination of information professional abilities is highly sought after in collaborative and virtual KM professional settings.
This paper is part of the following collection of related materials.
International Conference on Knowledge Management (ICKM)
Serving as digital proceedings, this collection includes papers, posters, and slides from invited talks as well as practitioner and sponsor presentations for the annual International Conference on Knowledge Management (ICKM).
Tucker, Virginia M.Accelerating Student Learning for Taxonomy Design Work: Rapid Onboarding Through Consultant-Internships,
paper,
November 9, 2018;
(https://digital.library.unt.edu/ark:/67531/metadc1393836/:
accessed May 23, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT College of Information.