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An Interdisciplinary Exploration of Data Culture and Vocational Training
[conference paper]
This document is a part of the following document:
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"
Abstract
In this interdisciplinary paper we discuss the intersection of organizational data culture and vocational education and training (VET). Building on a preliminary definition of data culture and an explorative analysis of data-related value propositions in the German VET market, we analyze how VET pro... view more
In this interdisciplinary paper we discuss the intersection of organizational data culture and vocational education and training (VET). Building on a preliminary definition of data culture and an explorative analysis of data-related value propositions in the German VET market, we analyze how VET providers address organizational challenges in the wake of big data and digitization that affect many of today’s organizations, regardless of their traditional industry. We argue that if organizations want to implement a data culture, their employees have to receive appropriate trainings that convey relevant skills and competencies.... view less
Keywords
data; Federal Republic of Germany; organizational culture; vocational education; digitalization; enterprise; on-the-job training; qualification requirements; advanced vocational education
Classification
Vocational Training, Adult Education
Free Keywords
data culture; vocational training and education; VET; data strategy; Weizenbaum-Institut; Weizenbaum Institute
Collection Title
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life"
Conference
2. Weizenbaum Conference. Berlin, 2019
Document language
English
Publication Year
2019
City
Berlin
Page/Pages
7 p.
Status
Primary Publication; peer reviewed
Licence
Creative Commons - Attribution 4.0
FundingDiese Arbeit wurde durch das Bundesministerium für Bildung und Forschung (BMBF) gefördert (Förderkennzeichen: 16DII115 - "Deutsches Internet-Institut"). / This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII115 - "Deutsches Internet-Institut").