I have spent most of today deep in discussion around personalized learning and adaptive learning — two of educations hot potatoes.
First, let us take personalized learning: Here, we are targeting individuals, addressing their needs, context, and individual goals; providing the right content, tools and experiences to help them learn and grow. Versus adaptive learning: Doing everything that personalized learning does, but 'live' and in the moment. Using algorithms adaptive learning technologies, detect a user's behaviour and provide personalized recommendations.
In this post, I'd like to consider the following questions concerning personalized and adaptive learning:
Is adaptive learning the ideal and personalized just a step along the way?
I can see how we might use adaptive teaching to enhance differentiation to meet students' needs. Let's use it to slow the pace of learning down. I mean, can learning ever really "be late." Using algorithms and technologies to reduce cognitive load gets my vote! Through gamified mathematics is a great idea. Have you tried out Reflex Maths? Let me know your thoughts and ideas.
Feel free to leave your answers in the comment box. As always, I'd love what you all have to say.