Methods in Which Machine Learning Will Improve Online Learning

You must have heard the term machine learning pretty often.

It has been making waves in the technological industry in recent times. However, do you know what it means? If not then let’s get to understand it better.

A better and improved form of the present automated systems, it is a technology-enabled digital revolution which is based on artificial intelligence. It helps the computer systems in analyzing data records at the time of performing different tasks while improving performance-based feedback.

It can be best described as an exciting opportunity that provides many possibilities for online education. Automated systems that perform the same tasks over and over are being set up for a long time. However, this one is a system that improves on itself and makes education much more productive.

Some of the methods in which machine learning will improve online learning are:

1. PERSONALIZED CONTENT

The automated algorithms provide a personalized version of content to the students. It is based on different algorithms that utilize recognizing patterns to analyze and predict the respected outcomes. This will take online education to a different level.

In case the student has trouble understanding a particular topic, machine technology can easily spot that. As a solution, it will optimize the concept in a manner that offers detailed information to assist the students. Therefore, based on specific requirements, students get study material that helps them catch up with the course.

There will be an advantage of students adjusting with the digital content to suit the needs of each student. Advanced study material will be provided to students who learn faster and basic study material will be offered to students who take time.

2. REGULAR FEEDBACK

In the traditional education system, it is difficult for teachers to give constructive feedback to every student. With the help of machine algorithms, following up with the progress of a particular student becomes possible.

Fixed and accurate feedback based on the courses will assist the students in succeeding. It will help students experience an enhanced online education process. It will also allow the usage of natural language processing and understanding questions. With this, all questions will be answered accurately.  

3. AUTOMATION OF ADMINISTRATIVE TASKS

Machine based learning can manage and automate the administrative tasks of teachers. It consists of algorithms which can help in automating the processes of scheduling and delivering the study material in a timely manner.

The scheduling process, which is a time-consuming job otherwise can be completely avoided and automated.  The coming future will bring artificial intelligence freeing the professional teachers from regular tasks.  This will allow them to focus better and carry on with other important work.

4. RESPONDING TO LEARNER’S QUESTIONS

Some children require extra assistance in order to understand a subject in a better way. In large online courses with multiple learners, it is difficult to take up questions of just one student.

Machine algorithms will come here to improve web based learning. It will be possible to automatically comprehend the questions while answering them at a level that the learners can understand.

The students will use their time constructively whenever they are online. Personalized help provided to the students will enhance the entire experience of getting high-quality knowledge. This benefit will eventually help an increasing number of students gain better knowledge.

CONCLUSION

There is no doubt in the fact that machine learning will improve online learning in a great way. It will also open many pathways of success for both teachers and students.

All thanks to features like predictive analysis, it will be possible to track the progress of students in a great way. Also, the feedback given by machine-based software applications will help in empowering online education platforms to use their resources efficiently.

About the Author
Author: Emily JamesWebsite: https://www.tutoreye.com
Emily is the Content Editor Officer at TutorEye online tutoring platform. She enjoys writing about food, fitness, finance and everything in between.

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