We often share examples of Artificial Intelligence (AI) as an exponential and disruptive technology that has huge implications for how we work, live and learn. But what exactly does AI do, how does it work, and how does it help? And are robots really taking away people’s jobs?
Today’s article looks at learning, specifically learning systems, how changing work affects learning and the importance of understanding thought processes such as unintended consequences and biases – we’ve also included the usual series of questions to provoke thought and discussion in classrooms and around dinner tables.
The articles in each category provide a quick overview of some of the trends that we are seeing in the transport sector, and allow teachers and students to gain an insight into the areas in which we will likely see innovation, deployment and opportunity over the coming decade.
Teenagers and technology. It can be hard for them to feel engaged in learning without it. Most teenagers live in an intensely stimulating environment, constantly distracted by advertising, music, games and social media. Much of their lives are lived online, and it is becoming harder than ever to engage many young learners in traditional schooling. However at the root of all this lies young people who are
Today, we are exploring big futures of ideas, technology, systems and wellbeing. Some of these were written pre-Covid 19, and based on what we now observe globally these provide an interesting insight into how unexpected events can influence likely trends and outcomes identified using the evidence available when written.
The week we’re looking at privacy, how everyday technology affects our privacy, and what we need to be mindful of when we connect.
We start this week by sharing one example of the development of personalised learning through the use of technology. Some argue that personalised learning through tech. (that responds to and provides for diverse student needs) is an essential next step for scaling quality learning, while others suggest that while useful, it may not be a panacea.
There appear to be plenty of opportunities for students to explore trends around the future of food, and identify opportunities to work and do business in this area. Investigations into alternative proteins as a food source, business models, entrepreneurship, science and data in agriculture, emerging jobs, analysis of job shortages, the list goes on.
With students and schools in mind we’re looking to take a balanced view of what’s happening in the world of robots and work, referencing some sound research and looking at examples of how robots are affecting firms and workers. We’re also going to take a look at recent technical achievements, along with issues that are starting to appear and are evolving.
The importance of workforce retraining is a major common theme across the many articles we read when looking at the future of learning and work. The automation of once-routine tasks is already leading to human work being
