Employable skills, the things employers will actually look for, and skills high performers exhibit are not just technical learned skills. It's creativity, ingenuity, collaboration, synthesis, the ability to work across multiple disciplines, to communicate with others. The challenge is we don't teach them - we expect collaboration to come as a by-product of academic activity. Some people have a natural strength with them but they're teachable and we're not doing that.Work will be less about dealing with facts and figures, due to process automation, and more about the application of that information. Computers are good at doing the jobs we find hard, and bad at the ones we find easy. For example processing information and analysing huge amounts of info - computers are way better at these tasks than people.But empathy, insight, intuition, it's impossible to do those as well. It's probable that as artificial intelligence [AI] develops there will be some capability, but never what a human can do. People should move into roles requiring these skills.
This case study illustrates opportunities afforded by recent developments in technology for students to learn through this type of social practice without needing to attend campus or indeed even meet during their studies.