Role of Artificial Intelligence in Education Sector

Role of Artificial Intelligence in Education Sector

Minhaj Uddin Miran 

The use of artificial intelligence (AI) in the classroom often brings up images of robots teaching children. Students interacting with soft-voiced software to get things done. Or, software and machines replacing teachers and educators. Current developments contain a little of all of these stereotypes, but in ways that benefit both students and teachers and make education a lot more responsive to everyone’s needs. Analysts forecast the Artificial Intelligence Market in the US Education Sector to grow at a CAGR of 47.77% during the period 2018-2022. Today’s students will work in a future where AI is the reality, so it’s critical that educators incorporate and familiarize students with the technology.

To better understand the future of AI in the classroom and how it will help teachers and students alike, it is important to see how AI-based education technology is being used in schools and educational institutions right now.

AI in Education is Already Here

Before the pandemic, some schools and educational institutions in Australia were already using AI tools in the classroom to help improve learning outcomes for their students. Both Virtual Reality (VR) and Augmented Reality (AR) education technology uses artificial intelligence to create more immersive learning environments. The learning experience changes dramatically when students can interact with the environment they are studying. In addition, interactive learning tools allow students to cooperate on educational projects even when they are not in the same place, making real-time learning possible.

The use of speech-to-text technology and AI powered learning platforms helps enrich students’ learning and can make the teachers’ job much easier. The real benefits of using artificial intelligence in the classroom, however, lie in the very near future of education. The developments we are likely to see revolve around the core capabilities offered by artificial intelligence:

  • Personalization
  • Automation
  • Adaptation

Remote Learning Is A Challenge

The pandemic caught everyone unprepared — especially teachers. Keeping students engaged is difficult when all you have to work with is a screen. A solution to this is the use of Rev Zoom Live Captions to accurately convert speech into text. The high degree of accuracy of the AI-powered captioning service increases accessibility and makes screen content easier to understand. This is particularly important with students who are deaf or hard-of-hearing, when internet connection speeds are not equally great for everyone on a Zoom call, or when not everyone shares the same first language.

We’re in 2021 and long past the days back when we used to stand outside the school library to get the opportunity to copy two or three Encyclopedia pages, to use as a kind of reference for our school projects.

With this age having grown up with the benefit of access to technology at their fingertips, the field of education has hugely changed and overturned in this digitally driven world. Artificial Intelligence in the education market was worth US$2.022 billion for the year 2019.

The worldwide AI in the education market is anticipated to be valued at USD 3.68 billion by 2023, at a CAGR of 47% during the forecast period of  2018 till 2023. Artificial intelligence has already infiltrated our lives on an individual level. By 2030, India will have the biggest number of youngsters in the globe, a size which will be a shelter in particular if these youngsters are sufficiently skilled to join the workforce. The recently launched SDG Index 2019-2020 by Niti Aayog appointed a composite score of 58 to India under the SDG on Quality Education, with just 12 states/UTs having a score of more than 64.

The current government consumption on education is under 3% of the GDP and the pupil-teacher ratio for primary school remains at 24:1, lower than that of Brazil and China. Further, with the quickly expanding population and decreasing assets, it would not be conceivable to match the demand for teachers.

As per a study by creative strategies, Around 97% of smartphone users are utilizing AI-driven voice assistants like Siri and the Google Assistant.

Artificial intelligence significantly utilizes deep learning, machine learning, and advanced analytics particularly for checking the learning cycle of the student, for example, the marks acquired and speed of a specific individual among others. Likewise, these solutions offer a personalized learning experience and top-notch training and cause the students to upgrade prior knowledge and learning. Let’s look at some of the ways AI is changing the education sector.


Voice Assistants

One more AI segment being productively utilized by educators in learning is voice assistants. These incorporate Amazon’s Alexa, Apple Siri, Microsoft Cortana, and so on. These voice assistants permit the students to converse with educational materials without the inclusion of the educator. They can be utilized in home and non-educational environments for encouraging communication with educational material or to get to any additional learning help.

The point behind these voice assistants is to gracefully respond to all normal questions regarding campus needs as well as for it to be modified for the specific timetable and courses of each student. This aids in lessening the prerequisite for internal support and chops down the cost of printing school handbooks which are only temporarily utilized.

The work of these voice assistant systems breaks the dreariness and gets an energizing prospect for the students. The deployment of this technology is anticipated to rise in the coming years.


Biometric Verification

Mundane and support tasks of the teacher – participation and other regulatory tasks can be taken over by AI. For instance, biometric validation for the students can be presented and incorporated with UDISE+ (Unified District Information System for Education) – an application that is one of the biggest Management Information Systems on School Education.

The biometric attendance records could likewise be utilized as a proxy  for comprehensiveness of the education in the district/state/block and can be handily tracked. This also helps to screen the national indicators, for example, the participation rate of youth and adults and the extent of male-female enrolled in higher education, technical and vocational education. Further, it can help evaluate the quality of education in the school.


Personalized Learning

Artificial Intelligence is being utilized for personalizing learning for every student. With the work of the hyper-personalization idea which is empowered through machine learning, the AI innovation is consolidated to plan a customized learning profile for every individual students and to tailor-make their training materials, thinking about the method of learning favored by the student, the student’s capacity and experience on an individual basis.

Different AI-fueled applications and frameworks help the students in getting instant and customized responses as well as in getting their questions cleared from their educators. Artificial intelligence is additionally playing a role in augmenting tutoring and designing personal conversational, education assistants who can offer them help in education.


Automated Grading

With Draft National Education Policy 2019 prioritizing online learning in its plan, machine learning techniques, for example, Natural Language Processing could be utilized for automated grading of assessments for a huge scale on platforms, for example, DIKSHA, E-PATHSHALA and SWAYAM (Study Webs of Active Learning for Young Aspiring Minds) – objective questions and subjective ones. Automated creation of content is another field where AI can intercede – given enormous sources of data on the web, NLP methods will have the option to utilize Automatic Text Summarization to make crisp substance and distribute them on these e-learning sites.

The standard unified curriculum made by ML-based techniques will be in accordance with the broadly characterized learning results (MHRD has planned a 70 markers-based matrix called Performance Grading Index (PGI) to level the states and UTs) and will impartially help assess pointers on the level of students accomplishing at least a minimum proficiency level.

The Future of Artificial Intelligence in Education 

The classroom of the future will likely employ artificial intelligence to better understand and personalize learning for every single student. In a 2015 interview, Bill Gates explained that his Bill and Melinda Gates Foundation had invested nearly a quarter of a billion dollars to fund the development of personalized learning technology.

Teachers, in the past, employed a one-size-fits-all approach to education. Lack of resources and the need to meet specific learning targets by set dates made it necessary to teach to the middle. This ignored the students who outperformed their classmates, and those who were slower to grasp the material.

Artificial intelligence software that learns and adapts to each student’s individual needs, however, offers the opportunity for teachers to help exactly where they are needed and it will tailor the learning experience so that no student gets left behind. This is the true personalized approach to learning.

Automation, on the other hand, focuses on making mundane tasks easy for both students and teachers. Students can benefit from using AI technology to make some learning tasks easier. Translating languages in real time, for example, makes knowledge more accessible for students globally. It also helps accelerate comprehension for students learning a second language.

Teachers can benefit from automation with the introduction of automatic grading software that will free up valuable time currently spent marking student papers. Intelligent teaching assistants that can automate some Q & A tasks teachers perform will allow students to access help whenever they need it without soaking up valuable teacher time.

The true benefit of using artificial intelligence in a learning environment is the ability to adapt to changing circumstances. Rev Live Captions are just one real-life example of how AI can help institutions quickly adapt to a developing educational need. Such solutions can help improve student engagement during remote learning and even provide post-meeting transcripts for additional study-aid material.

In the future, education will be faster paced and educational needs much more varied. Recognizing trends before they take hold and adapting quickly is an area in which artificial intelligence can be of huge help.

The educational institution of the future will be able to change its curriculum when necessary. Its students will benefit from supplementary teaching technologies without adding extra burdens on teachers, and teachers will be able to use their time and skills more creatively.

The Future is Almost Here

A Rand Corporation research paper on the use of artificial intelligence in learning platforms shows that a mix of machine learning and AI tools are already transforming education. This is not happening at the same pace everywhere, however.

The popular science fiction writer, William Gibson, once said, “The future is already here, it’s just not evenly distributed.” His words ring particularly true when it comes to the application of AI in teaching and learning. The evolution of education has only just

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