From artificial intelligence to machine learning, the Edtech industry is witnessing a major transformation and will more likely experience a surge of AI & ML applications in the coming years.

In its true sense, machine learning has added significant value to the Edtech industry. It is an emerging technology that is on its way to make a mark in the Edtech sector.

• But how?
• What is the way that machine learning is affecting learning?
• Do students learn better?
• What exactly is the benefit of machine learning in education?

How is machine learning being used in education?

Let’s find out!

Also, let’s explore how an ML course online can help you gain prowess in this domain.

1. Grading Students

One of the most common uses for ML is to grade student papers.

By eliminating human biases, machine learning enables fair grading of students. While AI bots now complete grading for multiple-choice questions, the industry is beginning to see the emergence of machine learning algorithms that can assess writing with AI tools like Turn It In and Grammarly.

This has entirely eradicated the need for teachers/instructors to grade papers. It will open up time for teachers to focus on more valuable tasks, like teaching and mentoring students.

Moreover, ML can also be used in other aspects of grading, such as identifying plagiarism or detecting errors that are not caught by proofreading software.

2. Providing Customised Learning

Machine learning has the potential to provide customised education. With ML, students are no longer restricted from accessing information they require because it is not presented in a way they comprehend.

The system can understand what the student needs and deliver data accordingly without any bias. This means individualised instruction where every learner can learn at their own pace, without any limitations.

This also means that students can be more creative and not worry about a standardised level or grade because ML can differentiate between peers according to their needs. This will provide them with the freedom they need to excel, which cannot happen if all learners are provided with fixed content and tasks.

3. AI is Now the Invigilator

The AI invigilator ensures that the exam is proctored correctly and also prevents cheating. This technology not only provides an automatic backup fail-safe but can also be programmed to review specific parts of a test for fairness in grading.

The good news is that these AI tools will free up time for teachers who would otherwise spend their time supervising examinations. For instance, the Duolingo English language test has AI for an invigilator to proctor the test. The AI invigilator ensures that no student leaves the test room or attempts to cheat.

An ML course online can help. These courses are designed and created to teach professionals the fundamentals of machine learning. It will impart essential knowledge on how AI & ML works, their techniques and applications, and how they can be utilised in different industries. Here’s a quick guide on AI vs ML so you can understand the difference between these two emerging technologies before going forward.

4. Predicts Students Performance

Machine learning is also capable of predicting the students’ performance in a class. ML models can be used to predict how well individual students will perform on different assignments and projects. This way, teachers can assess an upcoming project before assigning it to the students to ensure that it aligns with their past performance and not out of their league.

The IIM machine learning program can help aspiring and established ML professionals understand the intricacies behind curating such conversational and interactive ML models. And not just that, this course can also help you understand the implementation of machine learning in data analytics, which can come in handy in today’s technology-centred world.

5. Improves Retention

Machine Learning is also being used to improve the retention of students. This is done by identifying what is working for the students and what’s not, allowing instructors to re-design their teaching methods for better student engagement. This way, they can deliver more useful and engaging content to the learners in any given class or course.

Also, ML can be used to predict the level of engagement in a particular course and can help instructors target students who might have a high chance of dropping out.

Pursuing an ML course online can help you gain insight into ML and its applications so that you can use it in your business. With this knowledge, you could provide companies access to data for building AI models that can help the Edtech industry get better.

6. Supports Teachers in Mining Data

One of the most significant issues in teaching is a lack of data, and machine learning is the key to unlocking that data.

Teachers don’t know what they’re doing right and wrong leads to a decrease in their effectiveness. Machine learning can help teachers understand how students interact with different lessons by mining data from student interactions with course content.

This way, instructors will have more insights into how their lesson is performing, and they can course-correct as necessary. The IIM machine learning and data analytics certification is the best analytics course in its class. So rest assured, you’ll have access to market-ready content and a comprehensive curriculum, which is backed by a LIVE & interactive pedagogy.

7. Introduces Interactive and Exciting Learning Methods

Machine learning also provides insights into getting the most out of data and ML models, helping teachers better understand their students’ needs. What’s more, it also allows Edtech platforms to utilise interactive and exciting learning methods by assisting teachers to ascertain the best way to interact and retain a student’s attention.

That’s not all!

In addition to this, it also has a lot of potential in helping students develop their skills and abilities for future use, including analytical skills, problem-solving capabilities, and interpretation methods. Moreover, it can help them learn how they learn best too!

This is just the beginning. You can explore IIM machine learning certification to know more about the impact of ML and its benefits for education in detail.

Let’s Reiterate

Machine learning is a new field, but it has already significantly impacted the Edtech industry, with more advances expected in coming years. In its true sense, this emerging technology has been the key to increasing educational success.

So if you’re striving to enter this domain, the IIM machine learning online course is the ideal choice. ENROL NOW!

More Information:

Career Prospects in Machine Learning

Data Science Engineer Vs Machine Learning Engineer

Is Machine Learning the future of Artificial Intelligence?

What are the Machine Learning Applications that Make Human Lives Smoother?

Executive Post Graduate Program In Data Science And Machine Learning from UNIVERSITY OF MARYLAND