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Wilkens, Uta – International Journal of Information and Learning Technology, 2020
Purpose: The aim of this paper is to outline how artificial intelligence (AI) can augment learning process in the workplace and where there are limitations. Design/methodology/approach: The paper is a theoretical-based outline with reference to individual and organizational learning theory, which are related to machine learning methods as they are…
Descriptors: Artificial Intelligence, Work Environment, Organizational Learning, Theories
Cedefop - European Centre for the Development of Vocational Training, 2021
COVID-19 and social distancing have crashed into the structural shifts brought about by the fourth industrial revolution. And while meeting skill needs has been on employers' and policy-makers' agendas for long, investing in people in a more comprehensive way is becoming more urgent: as European economies are picking up speed, the hunt for talent…
Descriptors: COVID-19, Pandemics, Foreign Countries, Job Development
Feller, Rich – Technology and Engineering Teacher, 2011
Preparing for the future is not what it used to be. Yet, advising students, preparing lessons, and promoting the value of STEM options remains constant. As a result, technical and engineering educators seek clarity about the future of careers, career development, and ways to promote STEM options. Recently, the ITEEA conference allowed the author…
Descriptors: Job Skills, Technological Literacy, Career Development, Alignment (Education)
Sebrant, Ulla – Studies in the Education of Adults, 2008
In a previous ethnographic study (Sebrant, 2000) a social constructionist view of how social identity is produced among professional groups in Swedish healthcare was developed. Looking at the workplace as an important environment for identity construction suggested that these processes were conditions for learning. The purpose of this paper is to…
Descriptors: Foreign Countries, Ethnography, Health Services, Geriatrics