PERSONALISED LEARNING

PERSONALISED LEARNING

Personalised learning is the customization and adaptation of educational methods and techniques so that the learning process is better suited for each individual learner, with their own unique learning style, background, needs, and previous experiences. A personalised learning approach connects the learner's personal experience, knowledge, and habits with learning methods, allowing them to learn more quickly, understand new concepts more easily, and improve their learning performance. The most basic example of personalised learning is when an instructor provides learning material that is appropriate in terms of content and context for the learner. It is how well the learner acquires the knowledge of the new content easily through the materials provided. The ways to preach this can be of any tools or methods that includes video, text or interactive games etc. The simplest explanation is, it is a process of connecting, of providing the appropriate tools to assist the learning path.

Why important?

If a company wants to improve learning outcomes, personalised learning is a tried-and-true method. Organizations risk disengaging employees in a critical area if they do not update the way learning is delivered. Employees consistently report that they seek jobs that provide training and opportunities for advancement, and that they will stay in positions that do. Employees can improve their performance and deliver better business results as they learn.

Types Of Personalised Learning: (some examples)

One-to-one tutoring:

                            When you have two people, a learner and a teacher, you need the teacher to understand what the learner already knows and then connect that to new information.

Mentoring:

             Mentoring is a well-known method of personalised learning. The more experienced employee is designated as the less experienced employee's adviser. With all of the knowledge gained from previous experiences, the mentor can understand the issues and difficulties that the mentee is facing and guide the learning toward understanding. This model works well, but its scalability is a limitation.

Online Course Providers:

You've almost certainly seen and used these types of courses. Coursera, edX, LinkedIn Learning, Open Sesame, and numerous others are examples. You have a personal account with all of these services, and the system tracks and stores all of your learning data in order to offer you knew relevant courses. When you complete one course, the platform will provide you with advanced courses or materials related to the subject.

Corporate Training:

A helicopter medical transport company in Colorado used personalised learning to improve their pilot training programme. Using a cloud-based learning system, they used artificial intelligence to identify which topics pilots were struggling with and to present more information and differently worded questions to ensure that pilots truly understood the topic. The pilots were kept engaged by using frequent, short quizzes and games, and the organisation was able to easily identify areas where more training was required. This use of personalised learning enabled the company to reduce in-person, instructor-led training. Using personalised learning, the company was able to cut in-person, instructor-led training sessions in half, as well as reduce the number of days required for onboarding from ten to five.

Tech Tools for Inducing Personalised Learning:

·      AI Assistant

·      Flexible Learning Paths

·      Natural Language processing

Personalised Learning plan:

1.     Asses.

2.     Determine the goals and skills needed for each specific role.

3.     Create a generic learning plan.

4.     Map learning modalities.

5.     Modify learning plans for individuals according to their specific preferences.

6.     Utilize assessments to track learning.

7.     Review and scale.

Conclusion:

      Personalised learning has a significant impact on learning outcomes. When new concepts are linked to a person's prior experience, understanding improves and learning becomes more effective.

Of course, no technology solution is perfect, but by closing the feedback loop from a learner's activities back to the solution, the quality of answers provided to a learner will improve over time. Instead of "figure it out for yourself" learning, employees could enjoy and experience truly personalised learning.