How does machine learning ensure personalised learning for students?

How Machine Learning Ensures Personalized Learning for Students

Personalized learning is a major attraction of online education that has reposed the faith of students and parents in it. Machine learning (ML), a component of Artificial Intelligence (AI), enables personalized learning in an efficient manner. It helps perceive a student's behavior, their pace of learning, understanding, and creating methods that help to leverage data and improve the performance of some set of tasks.

What is Personalized Learning?

Personalized learning means customizing a diverse variety of educational programs, learning experiences, instructional approaches, and academic-support strategies to cater to the distinct learning needs, cultural backgrounds, temperaments, and goals of individual students.

Approaches to Personalized Learning

There are three kinds of approaches to personalized learning:

• Adaptive Learning: In this method, both computer algorithms and artificial intelligence are used to conduct interaction with the learner and deliver customized resources and learning activities according to the varying needs of the learners.
• Individualized Learning: This method involves orienting content, instructional technology, and pace of learning according to the abilities and interests of each learner.
• Competency-Based Learning: This learning approach focuses on the progress of the students at their own pace and level of knowledge.

How Machine Learning Ensures Personalized Learning

Machine learning algorithms help to analyze the online course content, identify whether the information is relevant to the current standards, and analyze if the learners can understand what they learn. This is done by asking students to answer some questions that help to get fair knowledge about their interests, pace of understanding, and level of knowledge. This in turn helps to design customized courses and relevant materials on demand.

Machine learning-enabled educational apps have made it possible to access educational content whenever one wants and have enabled 24x7 mobile learning. These apps use various parameters and learning behavior to increase the engagement of students and improve their overall learning experience by personalizing the content.

For example, Duolingo is an app that uses machine learning to predict the probability of remembering certain words or phrases. When the app detects that the user frequently misses these words or phrases, it recommends practicing them until they become proficient.

Importance for Students

Personalized learning is essential for students as it helps to:

• Improve their academic performance
• Increase their engagement and motivation
• Enhance their learning experience
• Cater to their individual needs and goals

In conclusion, machine learning plays a crucial role in ensuring personalized learning for students. By analyzing student behavior, pace of learning, and understanding, machine learning algorithms help to create customized educational programs that cater to the distinct learning needs of individual students.