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"You are to Old (Not) to Learn" - A Critical Reconsideration of "older Employees"
[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 Todays working environment faces the major challenges of demographical change and digitalization. Deficit-oriented stereotypes question the ability of older employees to keep pace with these technological innovations. Consequently, the elderly are perceived as less valuable for the company leading t... view more
Todays working environment faces the major challenges of demographical change and digitalization. Deficit-oriented stereotypes question the ability of older employees to keep pace with these technological innovations. Consequently, the elderly are perceived as less valuable for the company leading to fewer vocational training offers. Facing this dilemma, this contribution aims at uncovering the prevailing stereotypes against older employees and present a new approach of looking at older generations. Focusing existing experienced-based knowledge instead of assumed deficits as a starting point for further didactical work and research, basics of age-appropriate vocational training get pointed out in order to raise target group specific potentials in the context of the challenges of digitalization.... view less
Keywords
lifetime work period; stereotype; digitalization; qualification requirements; advanced vocational education; didactics; age-specific factors; elderly worker
Classification
Human Resources Management
Labor Market Research
Free Keywords
vocational training; deficit hypothesis; experienced employees; 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
4 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: 16DII116 - "Deutsches Internet-Institut"). / This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII116 - "Deutsches Internet-Institut").