Whether it could be Knowingly or unknowingly, our lives have been wrapped around AI/ML concepts for so long, whether it could be our chat support assistance or taking help from Siri, or getting accurate reports based on X-rays.
has been an integral part of our life for so long now. Along with every other industry, AI/Ml has been an integrated part of the education industry as well. According to the reports,
the market size of the global corporate e-learning industry was 17.2 billion U.S. dollars in 2019. In the following years, the industry is projected to grow at an average of 11 percent year on year, reaching a value of over 37 billion U.S. dollars by 2026.
Machine learning is playing a vital role in the education industry rather than the artificial industry. Before moving on to see how machine learning can enhance the education system, we should first understand the basic concepts of machine learning and artificial intelligence. Even though AI and ML have mirror images of each other, there is a thin line of difference between both of them.
Difference Between Artificial Intelligence and Machine Learning
The working of machine learning and artificial intelligence
makes people think they are just similar technologies with different names. The difference between them is that AI allows computers to imitate intelligent human behavior, whereas machine Learning trains and enhances the systems to work better for humans using various data. Machine learning basically works on trial-and-error functionality. The more data you provide, the more it will enhance the working of the system.
But that does not mean machine learning has nothing to do with artificial intelligence. Artificial Intelligence comes into the picture when any machine learning concepts fail to provide accurate or expected results. Artificial Intelligence algorithms try to find the problem and help to generate an accurate solution for that.
I hope we have cleared the basic concept of the difference between machine learning and artificial intelligence. Coming back to our main discussion point, we should now talk about how Machine learning can enhance the education industry.
Benefits of Machine learning in Education System
1) Career Path Prediction
At least once in our life, we have thought about what we want to do in the future and what should be our career path, whether it could be after schooling, during mid-college days, or even after starting our career. As everyone around us says, it is the most important decision of our lives. The machine learning algorithm can help us choose the best career option.
Machine learning algorithms can suggest to us the most suitable career path for ourselves based on our grades, interest, academic records, and various other things. Along with graduate students, it is beneficial for the employees as well. It can provide a better career option based on employee skills, strengths, weaknesses, interests, and various other things.
Even if the employee is not thinking about the career change, the machine learning algorithm
can help them to enhance their skills by providing a detailed report about their progress. Companies can employ the machine learning integrated system to evaluate the employee performance and suggest to them the more suitable career option or suggest to them the courses that can help them to enhance their skills to rank better in their career path without switching the career path.
2) Accurate Grading System
Various education institutions grade the students based on their behavior rather than their actual performance in the tests. This majorly happens in theoretical subjects. Or it might happen that students have elaborated the different points of view regarding the subject that could be different for educators. We can eliminate all these disadvantages of the traditional grading system through Machine learning concepts.
It can help educational institutions to enhance their grading systems where systems will grade the students automatically without any interference from the faculties. It will evaluate the writing styles, structures, narratives, steps, and various other things before grading the test papers, including the other factors such as attendance, academic performance, and so on. Along with that, it will also decrease the burden on faculties so that they can focus on their primary teaching job.
3) Customization in the Classroom
None of the faculties is capable of giving undivided attention to all of their students. So, they might miss the points where particular students need to focus more when the other students can move on.
The machine learning algorithm can help the education sector to evaluate every student's learning abilities based on their engagement in the classroom and help them generate accurate reports. It can help them to guide the students where they need to provide more attention. Along with that, it can also help students to evaluate their own performance in the class to enhance their learning abilities.
The role of machine learning in education
is not just limited to this. It helps the educational institutes to automate their tasks such as planning the curriculum, scheduling the classes, content delivery, and various other administrative tasks. If you think your educational institute needs a machine learning integrated system that can help you with every other educational task, reach out to HData systems