Future of Artificial Intelligence in Education

AI-enabled learning is becoming a trend and is going to be the future. Learn how artificial intelligence plays a role in the e-learning.

Artificial intelligence is revolutionizing each aspect of our society, and the field of education is no different. In part, that's because AI is now advanced enough to power more complex learning tools, from virtual reality simulations to personalized learning plans.

To understand how AI can help education, we first need to understand a few key terms. As a general rule, AI is used to refer to any piece of software which is designed to mimic human intelligence. These algorithms can typically do similar tasks to those that humans can do but at a larger scale.

An example of this would be plagiarism detection software, which can scan through essays and coursework much more quickly and more effectively than any human being could hope for. On top of processing more essays at a higher speed, an AI algorithm can also examine more sources, including scouring the entirety of the Internet.

The next step up from artificial is machine learning, a sister technology whereby algorithms are designed to "teach" themselves. An AI algorithm might be programmed to recognize pictures of cats, for example, while a machine learning algorithm would be shown thousands of images of cats and would be left to draw its own conclusions.

AI and machine learning in education
So now that we know what AI and machine learning are all about, we can move on to looking at how AI and machine learning are being used in education. One of the most prominent examples is the idea of personalization.

Every child is different, and they all have different needs within the classroom. Under existing education systems, we mostly rely on curriculums and syllabuses that do a great job of teaching core skills, but in the future, we'll be able to use AI and machine learning to offer the kids outside that middle 80% much more personalized tuition.

Then there's the fact that AI can power complex simulations. It basically works by making predictions. Self-driving cars don't work by following a pre-programmed set of rules, if only because there are too many variables involved. Instead, they've learned by observing humans and essentially predict what a human driver would do in that situation.

In the classroom, these complex simulations could allow kids to learn in a virtual environment. Imagine taking them on field trips to visit the Mayflower or exploring the universe together, all without having to leave the comfort of the classroom. By combining AI simulations with VR devices, subjects can be made much more engaging – and of course, that makes them more memorable and the lessons easier to learn.

AI as a timesaving tool

We've already touched on how AI can save time when it comes to checking papers for plagiarism. Still, it can also save vast amounts of time in other areas, whether that's by grading papers for teachers or whether it's by designing smarter timetables to avoid clashes and to drive teaching efficiencies.

And then there's the fact that it can scan any data that's being created to look for latent insights, such as whether certain students are inadvertently dropping behind. We can then make sure that we're deploying extra teaching resources or even checking in at home to make sure that students aren't having problems with their family life.

AI can also be a powerful tool when it comes to fostering diversity and inclusivity. For example, it can power automated language translation, live subtitling, and more to help students who have hearing difficulties or who speak English as a second language.

Ultimately, all of this comes back to the idea of giving children the best and most comprehensive education possible, and the key to do that is to tailor education for every student out there. The good news is that AI is the perfect tool for delivering personalization on mass, which will become more and more important as more students continue to enter the educational system.

Online education marketing

Personalization available with AI is changing e-learning as well.

Online self-directed education is an evolving space now. Traditional teaching methods irreversibly turn upside down. The whole education process and the role of educators need a rethink. People tend to absorb content at home following their professional interests and hobbies.
Students also take advantage of new technologies through digital content.

Online learning becomes one of the most quickly growing markets. E-learning and online course market are rising to new heights and estimated to be worth $325 billion by 2025.

Profit from online course platforms can be enhanced with AI as it offers a whole new set of strategies for improving upcoming trends predictions, customer analysis, and engagement. Marketing new online programs to prospective students remain the top concern about launching a new program among e-learning administrators.

AI-enabled learning management systems can deploy surveys to classify individuals into separate learning buckets (like visual, auditory, text), which can provide useful and targeted content that matches each preferred learning style.

Customer-data capabilities play an essential role in gaining an unbeatable competitive edge. Having it analyzed with machine-learning will help to attract more customers and improve the digital product. Internet-connected products and services can collect data on customers, including their search behaviour, choices of content, social media posts, GPS location, and usage patterns. After machine-learning algorithms analyze this input, a company can automatically adjust to reflect the findings.


Technological innovation and disruption have a way of making themselves felt whether we want them to or not. But after all, why not? If tech – and AI in particular – can help us to provide better, more personalized education at a more affordable cost, why shouldn't we take advantage of it?
As for you, the best thing you can do is to stay abreast of the latest developments and to be willing to adopt new AI tools as and when they're available. And the good thing about AI is that you don't need to know it's under the bonnet to take advantage of the tools that it powers. One thing's for certain: the education industry has a bright future.

Author BIO

From 2017 as a CTO at Zfort Group, Andrew concentrates on growing the company into the areas of modern technologies like Artificial Intelligence, BigData, and IoT. Being a CTO, Andrew doesn't give up programming himself because it is critical for some of the projects Andrew curates as a CTO.

Article by Tony John
Tony John is a professional blogger from India, who started his first Weblog in 1998 at Tripod.com. Tony switched to blogging as a passion blended business in the year 2000 and currently operates several popular web properties including IndiaStudyChannel.com, Techulator.com, dotnetspider.com and many more.

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Author: Umesh29 May 2020 Member Level: Diamond   Points : 12

Artificial Intelligence (AI) is developing very rapidly and seeing its usefulness in all sphere of our lives the researchers are giving it much importance and finding ways to enrich it with more and more functions. AI is going to be the thrust area in the science and technology programs and other research-related activities. AI is everywhere and the education area is no exception. The changing scenario during the present pandemic is forcing us to go for the online mode in many of our activities including education and that is where AI has got inherent strength.

In the educational field, there are innumerable opportunities for AI incorporation and right from delivering the required product to fetching of unique documents can be thought possible with the AI. An ordinary software does straight jobs but an AI module would go for longer searches, detailed comparisons and bring the results in an intelligent way. AI algorithm is not limited to a small perspective it goes beyond the boundaries of the query and searches the web more deeply with makes some logical and analytical comparisons and then assimilates it with its present storage or remote server storage for assimilation of the data and then taking a call on the expected behaviour generated out of it. There are multilevel instructional follow-ups in AI. An ordinary mechanical arm would bring me a glass of water but an advanced robot having some AI capabilities would understand my multilevel instructions and bring a cup of coffee five minutes after getting me a glass of water if I had asked it for the same in that order previously. He has a machine experience embedded in his memory about it. In education also there are instances when such use might arise. For example, if a student has not been able to give a correct answer to the teacher in three consecutive attempts there would be a mechanism to insist him to read the chapter again and prepare it for the repeat question session next week. Machines having good AI capabilities can handle these tasks efficiently as they have a logic of remembering earlier action as an element or experience and use that later in their interactions with human beings.

Future of AI is definitely going to be brighter not only in education but in many of the areas and it is going to be an integral part of the future mankind and civilisation.

Author: Swati Sharma15 Apr 2021 Member Level: Gold   Points : 4

An informative article has been given by the author about the importance of AI in education. AI can help teachers and students design courses that are personalized to their needs and can also provide feedback about the success as a whole of the course. The AI system can be used to monitor the progress of students and to alert teachers if there is a problem with the performance of the students. Such AI systems not only allow students to get the support they need but also help teachers find areas where they can improve instruction for students.

Artificial intelligence offers students an innovative way to experiment and learn in a relatively decision-free environment. AI teachers can also provide improvement solutions. In fact, AI systems themselves often learn through a trial and error method.

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