Understanding the Education of Tomorrow
A Super Simple Guide to understand what it will look like and how to shape itOK! I guess you understood the world is changing right?
Economic growth as a must-have is questioned. Job markets are disrupted by robots and AI and we still wonder what will be our place in tomorrow's economy.
Some start asking questions like:
Will we stop working? Must we give universal income that'll help the ones who aren't innovating?
So many people feel under pressure and ask the wrong questions.
The answer, in the end, is always the same: Education!
Educators must become innovatorsEducators must be well introduced or better, experts in digital tools and digital education. Just like Finnish teachers, they must develop their own techniques and try to innovate 24/7.
Change the way we take examsOne of the most important thing we need to transform is exams:
- By digitizing them and let students take them on their own devices
- By making creation and grading more simple for professors and, why not, automatic
- By making exams a rich source of data to let professors improve their course content and better understand the need of their students
- By the way, it's also a way to avoid wasting papers -> money
Teach soft skillsThere's a debate on whether we should teach more knowledge, more efficiently to students today. The problem is that knowledge is everywhere and accessible very easily.
Rather than proposing a heavy package of knowledge students will have to know by heart, we should focus on teaching soft skills like critical thinking, empathy, curiosity, creativity, teamwork...
Soft skills are the competitive advantage of humans over machines and AI. Teaching them to students will help them be proactive in their learning and in doing what they love.
Teach code (or die trying)In the US, although 90% of parents want their children to learn computer science, only 40% of school teach it. A paradox when you know that jobs involving computer science/ code skills grow twice the rate of other kind of jobs.
Without taking into account the job factor, learning to code is also understanding how structures work, thus understanding the structures of digital platforms and tools used every day.
Moreover, learning to code is learning a whole lot of skills that aren't specifically related to computer science.
Use Data to improve learning and adapt it to studentsLearning analytics, is 2018's buzzword in the world of Educational Technology. Although it's just at its beginning, using data to improve learning is a treasure island.
- First to help professors improve their pedagogy.
- Second to help them better understand their students and their needs.
- Third to help shape an effective adaptive learning, whether we talk about primary school, college, universities, online education, corporate universities or formation centers.
Change the way we give coursesTraditional courses do not fit with today's students habits and expectations which are: interactions with content, games, teamplay, competition, creative works...
Finland understood it well. Recently, the country, which is already one of the most advanced in terms of Education (everyone knows it right?) decided to try suppressing course subjects and replace them with sort of learning project around a theme and a particular context like, let's say, ?Pollution at Sea: How can we clean the Ocean?? (it's just an example).
Results are positive: students learn better, have fun, work better together, engage more in class ? Indirectly, this kind of project centered courses are the key to build a future society of social entrepreneurs, as Jeremy Rifkin puts it well in his The Third Industrial Revolution