Personalisation and education
One of the biggest changes this year has taken place in education. For the first time, digital learning became the key medium for us to educate our children. This transition to home-based learning (HBL) was not an easy one for both children and their
parents, who also had to adjust to working from home. Teachers too became the students, as they adapted to new digital tools while trying to maintain the interactive spirit of a real classroom.
While many of us took some time to get used to this new way of learning, one found that many parents and children eventually did adjust to it. This idea of digital learning, when you couple it with artificial intelligence, it only becomes more powerful
and makes education more accessible for all — through personalisation.
We’ve seen how personalisation works online. As we browse the Internet and our social media feeds, technology learns what we like and continues to deliver tailored content, offers or recommendations. This machine learning has great advantages in the education
space.
For example, in every classroom there are some students who are left behind because they struggle to understand basic concepts. Artificial intelligence can pick up on their struggle much earlier than a teacher who has to look after 40 students. Through
personalisation, the teacher has a lot more insights, and can provide individualised attention to students and help them practise their key skills.
This is just one example of how artificial intelligence can highlight and identify the true potential of students and make them feel special, make them feel respected, and make them feel that, regardless of where they are in the class, they
have a very bright future.