Education System has transformed since the advent of smartphones, but with the advent of AI, how positively it will impact education, this article briefly discusses it.

Lately, in this epoch of technology, the education system has transformed dramatically and we live in a world where the internet has become the primary source of information and entertainment. Unlike learning and taking notes from the blackboard, students now have the access to limitless information by just a click on their smartphone as well as on their computer system. 

The technology has become so advanced that Artificial Intelligence can play the role of a teacher. Although some educators fear that due to the advancement of AI, it might replace the role of the teacher entirely. But it should be emphasized that even though AI grows in the field of literacy or numbers, social and emotional skills will always be the domain of us human beings. No one can replace us in that area. 

 
Here are some of the fields and functions of Artificial Intelligence which helps in the betterment of Future Education:

Machine Learning

Machine Learning is flaring up for new, innovative, personalized methods of learning that have the potential to improve the engagement of students, create translucent communication between educators and their students, and to improve a less biased grading system. Here are some of the ways Machine Learning is transforming the education field in today’s generation:

Personalized Learning

Using this educational technology provides a variety of learning options which will help the students to discover what suits him/her best and it helps the students in self-learning, going at their own and comfortable pace. So this will ultimately help the students maximize their hidden potential in their areas of interest and strength, while also helping them in improving their weaknesses to transform them into more good professionals in the future.

Grading

Machine Learning increases the efficiency and accountability of the educational grading systems. Although it may require some help from a human being for inputs, the results will have high validity and less biased. These machines will solemnly give a grade that is based completely on the students’ performance on that subject.

Machine Learning with AI has opened many possibilities in various fields but especially in the education sector and education-related fields. The advances made in adopting machine learning in the educational field have significantly saved the educator’s time in the classroom.

Computer Vision

By executing computer vision in the education field, the practices which are practiced day to day in the classroom can be broken down. The main objective of computer vision in education is the ease and non – hindering of the assessment process when compared to traditional classroom education. A look at how it helps:

Helps in observing and analyzing individual student’s engagement

In a real classroom, teachers can easily pick out when a student is bored, confused, or anxious by paying attention to their facial expressions and body language. Online methods of teaching make this approach impractical, but that’s where AI comes to the aid.

Computer vision can help to identify those detached students easily and very quickly and so that teachers can straightaway step in to help such students.

This method helps in the growth and development of the students at their comfort level. If sometimes a large number of students seem uninterested in a particular lecture, then educators can work on their teaching methods for a better understanding and the full involvement of their students.

Prevents cheating during examination

With large numbers of students taking the exam potentially and remotely at different times, how can educators guarantee student’s exam accountability and integrity? This can be achieved by computer vision as it observes the facial expression of the student and voice samples.

False identities used by the student can be found by recognizing the faces and voices, and their cheating behaviors normally involves skeptical eye or facial movements, computer vision monitoring system could be able to immediately detect these improper behaviors and shuts down the exam automatically. 

The predominant goal of Computer Vision is to produce an engaging and friendly environment between the students and the educators.

This could help strengthen student-teacher relationships and teachers would be able to pay special attention to those students who are facing difficulties.

Therefore, it would help to boost the academic performance of the students and also increases the level of trust among each other.  

Natural Language Processing

The natural language process is an effective method to assist the students in the process of scientific learning. It is an effective approach for providing a solution for various educational problems and issues in education.

It is also significant for the enhancement of an individual student’s academic performance. Some of the uses of Natural Language Processing in the educational field are: 

• The NLP can assist the students in developing an extensive understanding of the intellectual and psychological views that play a major role in language achievement. 
• Natural Language Processing also uses various grammatical rules and phonetic approaches like derivations, grammatical tenses, sematic system, lexicon, morphemes, corpus, tenses, etc. All these powerful approaches can be applied in the educational field to certify that students can develop a better understanding of the educational curriculum and material.
• Text features in students’ spoken as well as written production both in person and through online mode can be useful in guessing the success in domains such as math and science. This helps in the automatic assessment of the mental state of the students which helps the teacher in a better understanding of how well their students are prepared to study. This will also benefit the teachers in better management of their classroom, identify the struggling students, and help them in it.

Natural Language Processing can thus provide a better solution to the various problems and barriers, which adversely affect the academic progress and learning of individual students. Text interpretation using NLP seems to offer more versatility to the users as they help in the text composition, online help like dictionary support. It’s still infancy days, but much research so far has suggested that NLP can have an extremely positive impact on education.

Conclusion

The main advantage of Artificial Intelligence in the field of education is that it offers a personalized approach to the students. Using AI, students can learn anywhere in the world at any time at their own pace. An educational field might be a bit slower to the adoption of artificial intelligence but education would look a whole lot different a few decades from now.

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