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Revolutionizing Learning: Machine Learning in Education

Machine-Learning-in-Education. - PureLogics LLC
Reading Time: 6 minutes

The days are gone when teachers in schools and colleges used to teach students using blackboards and chalk; today is an era of digital classrooms. However, what if we say that our education still needs a lot of improvement?

Artificial Intelligence (AI) and Machine Learning (ML) are here to transform the way we study, and help us learn in a more personalized and effective way than ever before. 

You would have seen that, from smart teachers to personalized learning platforms, this state-of-the-art technology has already started revolutionizing the face of education. 

So, fasten your seat belts because in this blog post, we’ll explore how AI and machine learning are transforming the landscape of our education system and why the present time is the best time to utilize this technology.

What is Machine Learning in Education?

Many of you would have come across the news of AI and machine learning on social media. But do you really know what AI and ML are?

AI is the latest technology that is designed to perform tasks that normally humans do, such as understanding natural language and recognizing images and objects.

And machine learning in education is a field of AI that supplies brains to educational computers and software so that they can make decisions in a smart and intelligent way.

The best thing about machine learning that makes it premium over other technologies is its power to learn from the past and make better decisions than before.

How Machine Learning is Revolutionizing the Education Industry

There are thousands of ways in which AI and ML are helping the education sector. One important area where AI is making a significant impact is educational data mining.

Data mining includes the usage of ML algorithms to analyze larger volumes of data to identify patterns and trends that you can use to improve the outcomes of student learning.

For example, educational data mining is a great process to identify students who have a higher risk of dropping out from their schools. This process can also be used to prepare more personalized learning materials for students.

The development of smart tutoring systems is another area where artificial intelligence technologies are making a great impact. This smart system understands the unique needs and capabilities of students and then responds back with personalized instructions.

Smart Tutoring Systems - PureLogics LLC

Whether it’s English, mathematics, history, or science, these intelligent AI systems will work like a helping hand for students. Moreover, many of you already know about ChatGPT and other chatbot applications that produce personalized digital content to help students learn about their queries in detail.

What are the benefits of machine learning in education?

Machine learning is a powerful and revolutionary technology in the modern world. Now that you have a basic understanding of machine learning, let’s discuss the prominent benefits it brings to educational businesses.

The reason why different educational institutions and companies like machine learning is because of its ability to help both stakeholders create innovative products for the education industry.

Predictive Analysis

In the past, the term ‘favoritism’ was prevalent in schools and colleges. The students used to believe that their future depended on favoritism, which lowered the morale of young minds.

However, the rise of AI and ML technologies has buried this old school of thought. Today is the era of predictive analysis and proof-based data. Predictive analysis now examines both past and present data to predict future results.

How will it help teachers and students?

Teachers, using ML technologies, will be able to know which student is poor at a particular subject and focus more on that student to help them pass the course.

Also, predictive analysis will help educational authorities and teachers craft proactive techniques and strategies to increase the learning capabilities of their students.

For example, Hamilton County used predictive analysis software (IBM SPSS) to track the individual performance of students and help them stay on the right track. The results astonished Hamilton County: the graduation rate increased by 10%.

The Future of Learning: Game-Based Learning

Game-based learning is not a buzzword anymore; it is the future of the education sector. The days of one-size-fits-all instruction are gone; today, students love consuming information through game-based learning.

Machine Learning in Education: Game-based Learning. - PureLogics LLC

The smart world where we live in has everything online in the form of text and visuals. This is the reason why the world has been experiencing a sharp increase in the use of virtual classrooms for training and development.

This change is especially helping those who find it difficult to learn in a conventional classroom setting or using old methods like blackboards and textbooks.

According to a study by the Education Development Center, students who used game-based learning exhibited a 40% boost in cognitive learning than those who used conventional methods.

Do you know why it showed a 40% increase? It is because game-based learning provides quick feedback and encourages students to learn from their previous mistakes and keep trying their best to get better.

Better Management of Educational Institutions

People who are connected with the education industry know that managing a school or college is not an easy task.

The administration handles hundreds of tasks on a daily basis, from monitoring educational records to planning class lectures. They used to do all these tasks manually before AI, but now AI and machine learning have automated the maximum number of processes.

Education is one of the top industries where AI has had the maximum impact. Have an eye-bird view of the areas where AI is helping the education industry:

  • AI in scheduling lectures
  • Administration of school transportation
  • AI for creating student performance reports
  • Management of student records and attendance
  • AI in school budgeting and maintenance activities
  • AI in recruitment and continuous admin activities

According to statistics, teachers spend more than 50% of their working hours on non-teaching activities. Innovative AI and ML technology can now grade tests, create lesson plans, and make the overall teaching process easier.

Resultantly, machine learning boosts the output of efficiency and gives teachers enough time for individualized discussions with the students they teach.

Inclusive Approach Leads to More Audience

Our world is interconnected, so following an inclusive approach can give you a strategic edge over your competitors. Thanks to AI and machine learning, which have made this concept a reality; now, no one can complain that they have no access to the required materials.

Moreover, educational institutes don’t need to hire expensive professionals to translate their content. They can use AI tools for proper translation of content and make their content accessible all around the world.

You will be happy to know that ML and deep learning software can do this task faster and at a reasonable price without destroying the quality of the content.

In the traditional education system, there was no special attention given to special people. But machine learning has treated everyone equally and provided them with the best learning opportunities in the form of audio, video, text, slideshows, etc. 

So, you can see how inclusivity in education leads to a larger audience.

Challenges Faced by Machine Learning in Education

Educational institutes now understand the importance of machine learning in education as more and more teachers, students, as well as administrators has started relying on this technology. But the implementation of machine learning in education is not as easy as it looks.

Complex ML Algorithms

The first challenge is the incorporation of complex ML algorithms into the existing educational infrastructure. Machine algorithms are complex, and our outdated educational systems are not compatible with their modern algorithms.

Lack of Resources

Another big challenge is the lack of resources. There needs to be a considerable amount of cost to integrate AI and ML into existing systems. Most educational systems face issues of scarcity of resources, and they may not have enough capital to bear the cost of machine learning integration into the present educational system.

Training of Administration and Teachers

This is another area that needs a lot of effort and improvement to successfully harness the potential of ML in education. Administrators and teachers don’t know how to use these modern technologies. They need proper training and expertise, which is again costly for educational businesses.

Final Remarks

Challenges come with solutions, so don’t worry about these challenges. PureLogics, a leading generative AI services company, will help you integrate ML into your business operations in the best manner possible.

The global tech giants are leading the AI revolution all over the world. Many countries have their own national AI strategies, with education being the most prominent element, powered by generative AI services.

So don’t hesitate to start your AI journey. The sky is now brighter, and the development is so optimistic today that the days of advanced AI in education are soon approaching.

Our best and brightest team of AI and ML engineers in New York City has been providing education-related Machine learning services in the education industry for more than 18 years.

Talk to our creative engineers and learn how they can take your education business to the heights of the Himalayas. We might be the start of your success story.

PureLogics: Where we believe in logic, not magic.

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