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Tag: Machine Learning

7 ways machine learning is changing the education domain

Posted on by Hemant Mahajan

Although late but education industry has finally started to shed its old ways of operations and is embracing technology happily. There are various schools, universities, and training institutions that have completely digitalized their processes. It is a great achievement as it is a need of time, but half the players in the education industry still struggle to find the right solution or don’t have the resources planned for it. 

Since the technology domain is fast-paced, new technologies emerge regularly and tech enablers go gaga over these technologies to be utilized in the best possible ways for various industries. You would be surprised, how some industries have completely automated their processes, and artificial intelligence has grown so smart that you may not even realize when you are interacting with an AI. 

Similarly, the education sector is showing great enthusiasm in adapting to the tech buzzwords such as artificial intelligence and machine learning. Today, I want to introduce you to some of the larger aspects that can be transformed through ML. 

Machine Learning by definition

It is an advanced field of computer science where data is closely analyzed statistically and used to train an AI algorithm for performing various tasks.

Ways ML is transforming the education industry

  • Support teachers 

Machine learning mines data that is collected regularly from the web and mobile applications. Using this data you can learn a lot about the student’s behavior and devise teaching styles that are most helpful for the student. Using it teachers can also access data of all students in one place and carry out administrative tasks. It thus helps in streamlining the process and identifying the gaps in teaching and learning styles to abridge it. 

  • Predict student performance 

One of the best abilities and what makes ML a smart tool is predictive analysis. Machine learning is not just great at crunching data but also at providing useful predictions on various aspects of your institutes. It allows you to counter them with data-backed strategic decisions. In short, you can have a hint of the risk you may face in the future. 

  • Test Student 

For a long time, educationists have scrutinized the process of assessments. A stop and test assessment are not enough to evaluate the students, claim many teachers and education theorists. 

In replacement of this, AI-driven assessments are getting very popular. These assessments not only evaluate a student’s performance but deep dive into finding how a student learns. It demystifies the unique pattern of learning for the student and informs teachers and parents about it. 

  • Personalized learning 

Once the unique pattern of learning is understood by teachers they can develop unique content and use various teaching styles to provide personalized learning to the students. Also, there are various AI-infused learning devices available on the market, they use machine learning to adapt to the learning pattern and progress of the student to customize the content further. 

  • Content organization 

By identifying the weakness and strengths of the student you can develop the content accordingly. It also gives insights into the pre-found knowledge and skills in a student and utilizes it for organizing content and structuring it for faster and higher knowledge retention. 

  • Improves retention

Machine Learning offers learning analytics that allows for improving student retention rates. It helps you learn about student risks and allows you to reach out to students before they drop out to retain them and help them. 

  • Group Students and Teachers 

Based on the learning style and student profile, machine learning can help you assign students to the teachers that can be best suited for them. This advanced match-making is the perfect tool for improving student outcomes and assigning the right counselors for them

Wrapping Up 

Machine learning is becoming more and more dominant in the working of education institutes. With a little effort and the right partner in the digitalization process, you can achieve great heights with these futuristic technologies. We can be that for you. Know more about Academia ERP from our technology expert, and get a free demo here. 

 

How Machine Learning Can Improve The Education System

Posted on by Hemant Mahajan

Artificial intelligence (AI) and machine learning (ML) are at the heart of the digital revolution. Many industries, such as education, logistics, healthcare, and retail have begun to add emerging technologies to their game plan.

Machine learning, a subset of artificial intelligence (AI), is becoming increasingly popular and is gaining acceptance in almost every area. Machine learning is a field of inquiry devoted to understanding and building methods that ‘learn’. That is, methods that leverage data to improve performance on some sets of tasks. It is a branch of artificial intelligence. 

Machine learning is becoming increasingly important in many areas. Here, the technology will perceive the data and its structure to provide useful insights. 

Higher education needs to improve the experience of students, faculty, and staff. This can be achieved by using new technologies. It can bring about remarkable positive changes in this area. In this article, I will explore a few ways in which machine learning can help to improve the education system.

Efficient machine learning can initiate:

  • Personalization Learning Experience

The introduction of machine learning in schools transforms traditional learning methods with physical books into online learning. In addition, the teacher never has to keep records of each student. A good tech solution can deliver the concepts and set goals for each student. The purpose of this function is to help a teacher to follow and observe each student in the class. Therefore, a teacher can see and judge which methods work or which do not work well and what needs to be changed in the program to make the job easier.

  • Student Path Prediction

With the development in technology, education institutions need to choose a very good technology solution that can help in managing students’ lifecycle. Based on the daily actions of the students, it helps in recognizing their weaknesses and working on their improvements in a better way.

  • Automated Processes

Through machine learning, educational institutions can attain automation. Automation for teaching, learning, and overall institutional management can lead to improvement. It also improves student lifecycles and motivates them to complete academic and non-academic activities with ease.

  • Chatbot Integration

With the expansion of technology in the education industry. Institutions can optimize modern techniques like chatbot integration. A chatbot integrated with a mobile application and portal on its own can help all the stakeholders and enhance its usefulness.

  • Performance Feedback – students  & teachers

Not only do the machines aim to show the students’ level they also provide feedback through analysis of the data and their recent work. The machines are based on the student progress analysis program. The same procedure will apply to teachers so that a teacher can also know where to change their work. During this time, students learn about their knowledge gaps, areas where improvements are needed, and methods to get better results.

Conclusion

Machine learning is a new way to accelerate progress in the education system. This allows students to make the learning process more entertaining and challenging through AI technologies. With increasing class sizes, machine learning can help teachers pay more attention to each student. This will take our education system to a whole new level as schools introduce it into their programs. With the improvement of machine learning technology, the impact on the education system will be even greater. And we hope for a positive effect on the future of education.

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