Vocational education and training - VET

How will AI impact our immediate and near future? Can the technology be controlled, and does it have agency? Watch DeepMind co-founder Mustafa Suleyman and Yuval Noah Harari debate these questions, with The Economist Editor-in-Chief Zanny Minton-Beddoes.

Junior and senior high school students and recent graduates from across Africa were joined by policymakers and education specialists in a series of three panels and Q&A sessions on workplace skills gaps, digital skills, and soft skills.

What’s a skill? Actually, the question should be: why should we know what skills are?
Skills are often mistaken for abilities, knowledge, and even tools or technologies. Knowing the difference between each of these terms can be what sets you apart on the job market – whether you're a job seeker or an employer

Promoting Careers in the Skilled Trades

With 70% of upper secondary students following vocational studies, vocational education and training (VET) is highly valued in Austria. The country’s VET system covers a wide range of sectors from business to engineering and from healthcare to agriculture. Watch our animated video for all you need to know!

The trucking industry plays a major role in the functioning of the Canadian economy. Virtually all goods that are delivered to consumers find themselves on a truck during at least one segment of their journey The industry employs in excess of 400,000 people.

What can we learn from Finland?

In this video ILO Senior Skills Specialist Paul Comyn explains what is meant by skills mismatch.

This tutorial explains step by step how to access easily to thousands of jobs and vocational training opportunities across Europe.

In this keynote and Q&A, Yuval Noah Harari summarizes and speculates on 'AI and the future of humanity'. There are a number of questions related to this discussion, including: "In what ways will AI affect how we shape culture? What threat is posed to humanity when AI masters human intimacy? Is AI the end of human history? Will ordinary individuals be able to produce powerful AI tools of their own? How do we regulate AI?"

In this talk, I would like to take you on a journey to the trenches of VR development, where we will explore how we can harness the power of data visualization to turn data into insights in VR. Concretely, we will investigate two recent research projects I was fortunate to carry out: Training people to travel through a virtual building on IU campus as fast as possible, and exploding anatomical structures in the many organs that make up our body (such as the heart, the lung, and the kidney) and peeking inside them to see cells. On this journey, I would like to show that VR is the ultimate playground. Andreas Bueckle is a Research Scientist in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. His interest lies in how we can use data visualization to improve performance and satisfaction for training and coaching in virtual reality (VR), augmented reality (AR), and other immersive techniques in an increasingly data-driven world. Born and raised in Germany, he holds a B.A. in Media Studies from Eberhard Karls University Tuebingen, an M.A. in Communications from Berlin University of the Arts, and a Ph.D. in Information Science from Indiana University. After working as a video journalist, videographer, and video editor on projects in Germany, France, India, and the US, he switched to a more technical education and got his Ph.D. in Information Science, working with Dr. Katy Börner at Indiana University Bloomington. Aside from doing research, Andreas is an avid sailor and the Head Coach of the Sailing Club at Indiana University. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

The world of work will be radically different in the future. From hyper-surveillance of staff to digital nomadism to robots taking jobs—how, where and why we work is changing beyond all recognition.

In terms of global meaning, the Industry 4.0 concept is widely accepted as representing the digitalization of manufacturing. The ‘4.0’ provides a historical context, positioning this new phase as the fourth transformation in production. The first industrial revolution was depicted by mechanization through water and steam power the second saw the concept of mass production through electric power and the third resulted in the rise of the computer and automation. Now we have the fourth breakup in manufacturing – the creation of truly smart factories with cyber-physical systems and communication across the Internet of Things.