Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 9 |
Descriptor
Automation | 68 |
Employment Patterns | 68 |
Technological Advancement | 36 |
Futures (of Society) | 20 |
Productivity | 16 |
Labor Needs | 15 |
Employment Opportunities | 14 |
Industry | 14 |
Job Skills | 14 |
Trend Analysis | 14 |
Labor Force | 13 |
More ▼ |
Source
Author
Publication Type
Education Level
Postsecondary Education | 2 |
Higher Education | 1 |
Audience
Policymakers | 3 |
Practitioners | 2 |
Researchers | 1 |
Teachers | 1 |
Location
United States | 6 |
Louisiana | 3 |
France | 2 |
Germany | 2 |
Japan | 2 |
Australia | 1 |
Brazil | 1 |
California | 1 |
Canada | 1 |
India | 1 |
Maryland | 1 |
More ▼ |
Laws, Policies, & Programs
Coronavirus Aid Relief and… | 1 |
Families First Coronavirus… | 1 |
Manpower Development and… | 1 |
Workforce Innovation and… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Mvuyisi Mabungela – Research in Social Sciences and Technology, 2023
The introduction of machines driven by artificial intelligence (AI) and automation technologies has already had a significant impact on the manufacturing, automotive, logistics, retail, and wholesale industries, and the repercussions of their replacement on the human labour has been a hotly disputed subject. AI and automation technical…
Descriptors: Artificial Intelligence, Automation, Employment, Employees
Ure, Odd Bjørn; Skauge, Tom – International Journal for Research in Vocational Education and Training, 2019
Context: The article contributes to a discussion of how patterns of employment and qualifications are modified by the ongoing industrial transformation, called Industry 4.0. Although this transformation is said to be a global phenomenon, scholars increasingly discuss the national differences in the wake of Industry 4.0. Our article aims to…
Descriptors: Foreign Countries, Vocational Education, Job Skills, Employment
Taylor, Amanda; Nelson, Julie; O'Donnell, Sharon; Davies, Elizabeth; Hillary, Jude – National Foundation for Educational Research, 2022
Calls are intensifying for workforce reskilling and a re-engineering of education and training to meet the demands of the future. Current policy in England focuses on technical, digital and green economy skills, underpinned by strong literacy and numeracy and a knowledge-rich school curriculum. National Foundation for Educational Research's…
Descriptors: Job Skills, Labor Market, Foreign Countries, Futures (of Society)
Van Horn, Carl; Starace, Jessica – John J. Heldrich Center for Workforce Development, 2018
Advanced software, smartphones, the Internet, and cognitive computing have already disrupted the retail, media, transportation, education, and health care industries. Widely different predictions have been offered about the scope of future workforce disruptions. Recent assessments about the impact of artificial intelligence on worker dislocation…
Descriptors: Public Opinion, Work Attitudes, Employment Patterns, Influence of Technology
Carnevale, Anthony P.; Ridley, Neil; Cheah, Ban; Strohl, Jeff; Campbell, Kathryn Peltier – Georgetown University Center on Education and the Workforce, 2019
The manufacturing workforce has been shaped by decades of industry transformation. Modern manufacturing requires workers with a diverse set of skills to perform functions such as research and development (R&D), product and production design, marketing and sales, and customer support. While workers with a high school diploma or less dominated…
Descriptors: Manufacturing Industry, Labor Force, Economic Opportunities, Trend Analysis
Tuomi, Ilkka – European Commission, 2019
This report describes the current state of the art in artificial intelligence (AI) and its potential impact for learning, teaching, and education. It provides conceptual foundations for well-informed policy-oriented work, research, and forward-looking activities that address the opportunities and challenges created by recent developments in AI.…
Descriptors: Artificial Intelligence, State of the Art Reviews, Educational Practices, Educational Policy
Mack, Melissa; Dunham, Kate – Mathematica, 2021
Enacted in 2014, the Workforce Innovation and Opportunity Act (WIOA) was designed to increase collaboration among workforce systems at the federal, state, and local levels to integrate the array of programs and services available to job seekers and businesses through American Job Centers (AJCs). WIOA requires the U.S. Department of Labor (DOL) to…
Descriptors: Labor Legislation, Federal Legislation, Labor Force Development, Program Evaluation
Rainie, Lee; Anderson, Janna – Pew Research Center, 2017
Machines are eating humans' jobs talents. And it is not just about jobs that are repetitive and low skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil…
Descriptors: Futures (of Society), Educational Trends, Trend Analysis, Job Training
Altass, Patricia; Wiebe, Sean – Online Submission, 2017
New digital technologies are changing the nature and contexts of work in Canada. It is essential that education policy and practice acknowledge and respond to these changes. The impacts and implications of new and emerging technologies for work can be summarized within two paradigms: technology is replacing work through automation and digital…
Descriptors: Foreign Countries, Personnel Management, Automation, Fundamental Concepts
Flanders, Russell B. – Occup Outlook Quart, 1970
Descriptors: Automation, Employment Patterns, Employment Projections

Huffstutler, Clyde E.; Riche, Martha Farnsworth – Monthly Labor Review, 1972
Due to growing productivity in the bakery products industry, increasing demand may not lead to increased man-hours. (BH)
Descriptors: Automation, Bakery Industry, Employment Patterns, Labor Needs
Manpower Research Council, Milwaukee, WI. – 1964
THE MANPOWER RESEARCH COUNCIL, A NONPROFIT SERVICE ORGANIZATION, HAS AS ITS OBJECTIVE THE DEVELOPMENT OF AN INTERCHANGE AMONG THE MANUFACTURING AND SERVICE INDUSTRIES OF THE UNITED STATES OF INFORMATION ON EMPLOYMENT, INDUSTRIAL RELATIONS TRENDS AND ACTIVITIES, AND MANAGEMENT PROBLEMS. A SURVEY OF 200 MEMBER CORPORATIONS, EMPLOYING A TOTAL OF…
Descriptors: Automation, Employer Attitudes, Employment, Employment Patterns
Martin, Gail M. – Occupational Outlook Quarterly, 1982
Robots--powerful, versatile, and easily adapted to new operations--may usher in a new industrial age. Workers throughout the labor force could be affected, as well as the nature of the workplace, skill requirements of jobs, and concomitant shifts in vocational education. (SK)
Descriptors: Automation, Employment Patterns, Job Development, Labor Economics

Levitan, Sar A.; Johnson, Clifford M. – Monthly Labor Review, 1982
As the use of robots and microprocessors in industry grows, the authors see little need to worry about loss of employment through job obsolescence. Rather, they expect a trend towards higher standards of living and the emergence of new goods and services. (CT)
Descriptors: Automation, Employment Patterns, Futures (of Society), Obsolescence
STEINER, CARL L. – 1966
THE PURPOSES OF THIS STUDY WERE TO DETERMINE THE PERSONNEL CHANGE DIRECTLY RESULTING FROM THE INSTALLATION OF ELECTRONIC DATA PROCESSING IN ONE OF THE LARGE COMMERCIAL BANKS IN BALTIMORE, TO DESCRIBE THE PROCESSES AND JOB DUTIES INVOLVED, AND TO INDICATE HOW CHANGES HAVE AFFECTED EMPLOYMENT AND WHAT MAY BE EXPECTED IN THE FUTURE. THE USE OF THE…
Descriptors: Automation, Banking, Data Processing, Employment Patterns