
The five myths of personalization learning is a very interesting part of this week’s learning content. I used to think that personalization learning means that a curriculum would be designed to suit one person’s learning and would be based on one person’s interests. However, the reality shows that it is entirely different. What I interpreted the concept was for individuals while the concept in reality is actually the other way round.
I have used Duolingo to learn languages that I am interested in and I do not think that their current approach to AI would lead to better learning because the AI is designed to carry out the learning procedure step by step and learners like me could lose interest with a few loops of learning. There are awarding systems that makes the learning into a collecting points process but it does not focus on the fun of learning language itself. The use of ‘humanize’ is not quite accurate because even though AI’s process does not need human, it is still quite robotic and lacks human interaction which is full of randomness. When it tries to include more languages under the same system of learning, it may also lose diversity and weird questions such as “Are you a cat?” which we would never use in reality may appear in the learning process.
2 Responses to “Week 12 Blog Post: The Personalization of Learning”
Hi, qiaoyang
The reason for most of the very robotic interactions is that humans are still in the early stages of artificial intelligence, and the modification of artificial intelligence models and data collection has not yet reached a level that can come close to simulating humans.
The development of AI in the next few years will likely solve similar problems well.
And AI is not only used to simulate language communication; Developers can also use AI to find the most suitable learning course for the current user based on data analysis and adjust the course according to the user’s feedback and performance.
What do you think about the ability of AI to customize learning courses?
Hi qiaoyang
I agree with you about AI, learning with AI is not useful for personalizing learning. Everyone gets the same feedback from AI.
When you use ai software to learn, you say it is mechanized and not humanized. So how do you think AI should be improved to be more personalized or humanized?