Educators agree that personalised learning is the most effective way to improve students' learning efficiency. By providing tailored direction and attention catered to a student's individual needs, they are able to comprehend and absorb information more quickly. By making instruction more personalised, it creates the perfect environment for a student to acquire knowledge.
What exactly is Personalised Learning Education?
At its core, personalised learning aims to provide learning opportunities tailored to each student's strengths, needs, skills, and interests. Every student gets a tailored learning plan and guidance based on essentially two things:
What they know: By getting a good sight of what a student already knows, it eliminates the time and effort needed to go over the information that they are already familiar with.
How they learn best: Every brain functions differently, and hence the optimum way for students to retain and learn information would also vary. By knowing how students learn best, the number of hands-on practices or information delivery per session may vary.
The key reasons why Personalised Learning Education works
Increases engagement A learner is more likely to interact with, and remember content that targets their current role, projects, or area of work.
Improves knowledge retention When content is based on previous experience, the learner will retain that information for a much longer period of time. Personalised learning connects pieces of information together like a puzzle, with each piece supporting each other to intertwine the information, the learner will be able to better recall information by linking it to existing knowledge.
Improves learning results Studies have shown that a Personalised Learning approach yields better learning results as it provides learning with content that is relevant, engaging, actionable, and memorable. The end result is a learner who is pleased with their interaction with the material and is better at their job.
Increased motivation Learning that is connected to something relevant, be it the learner, their job, or their hobbies will increase motivation for the learner.
High efficiency Personalised learning reduces the time taken for a learner to engage with and understand a new subject, and removes content that would be irrelevant or redundant due to the experience level of the learner
How AI has helped Personalised Learning Education
To create a successful personalised learning program, data and AI through Machine Learning are the two most important components. Through data, AI can be taught to detect patterns, draw connections between knowledge and information, and provide users with the right information at the right time.