Big Data has been a potent tool for marketing and in most other industries. The growing relevance and use cases of AI is about to optimize Big Data across industries in unprecedented ways.
AI's utilization possibilities in life and society are endless. From fully autonomous self-driving cars, automatic parking systems, and mobile check deposits to manufacturing, health, and more.
We have already begun to see AI integration in many business and personal endeavors. Although it seems to be adopting artificial intelligence at a relatively slower pace than most other industries, education belongs to this category.
In the decades to come, artificial intelligence in education takes up a more blanket existence. It will transform everything, from the way students learn and the roles of teachers to curriculums, learning mediums, learning materials, and more. With increased AI automation, there's also going to be a proliferation of new opportunities in education.
AI and education are an inevitable marriage. We've already begun to see hints of this with online learning platforms and online school portals. One thing is sure: education is set to look a lot different than it does today. But how far will this integration go?
Here are some says AI will be used in education:
Grading and other paperwork will become automated.
Grading students' papers take up a massive amount of teachers' time. From assignments to tests and examinations, teachers often have to take work home with them. Artificial intelligence in schools will provide tech and software solutions to automate the grading process. The benefits of grading automation are especially evident in the ton of free time teachers will have.
They will now be able to dedicate more of their time to their students. Or even have some free time to relax and spend with their family and other non-work related activities.
Automating grading will also take power away from biased teachers who grade students unfairly. The benefits of AI tech in schools can also extend to administrative responsibilities. It will help to streamline, interpret, and classify all sorts of documents. This automation will make them easier to reference, call up, and work with.
AI will identify and provide personalized learning to individual students.
No two students are ever the same. Still, our current educational system primarily treats them all the same. Learning is usually dealt out in one lump sum. And then, at best, educators try to identify and address the problems in individual student's assimilation as the school year runs.
With access to student's data, AI can identify granular patterns that humans will naturally miss. And it will do this before the school year starts. This way, teachers can develop individualized learning plans for students, so they hit the ground running. Many technologies we use today already utilize personalized recommendations—Netflix, Facebook Ads, and more—so why not learning?
Schools and online learning platforms will utilize smart content for proficiency and speed of learning.
Imagine if you were looking through writing review services like Best Writers Online or Online Writers Rating. You arrive on the site, and you're immediately greeted with detailed highlights of information regarding the writing services that best fit your writing needs.
This is essentially how smart content works. With AI enablement, smart content could exist in several ways. AI could distill a textbook into chapter-specific summaries. It could be chapter or section-specific multiple choice practice questions, flashcards, and more.
This way, the student doesn't have to labor through a voluminous text but still achieves comprehension of every subject matter. These smart contents could be made available anywhere, from the school's resources library to Amazon.
AI will even leverage student data (for schools) and user data (for online learning and more) to create personalized smart content. Content could also have an interactive format that is more engaging and effective in its learning assessment and feedback.
Teachers and learning instructors will be only too happy to operate a more hands-off approach. Smart content will reassign them to only developing these personalized smart content and agendas. It will relieve them of their direct teaching responsibilities to a reasonable extent.
Facial recognition may take the place of Student IDs.
The function of an ID is clear. Without it, many schools won't be able to account for their students at any given time. Chip-enabled IDs mean students' movements in and out of school will be logged electronically and in real-time.
But with the emergence of artificial intelligence in schools, AI may make student IDs irrelevant quickly. Schools may soon seek to integrate facial recognition tools into their security systems.
In some schools in China, they have already adapted facial scans to a controversial level. In this case, classrooms have cameras that scan students' faces every half-minute to determine who is and doesn't focus on the teaching.
There is arguably a long way to go before facial recognition in schools can go mainstream. Still, pending proper regulatory steps, we may begin to see facial recognition tech in schools across Europe and America sooner than we think.
Final Words: artificial intelligence in education is not going anywhere.
On the contrary, AI will only continue to grow in relevance and adaptation. We will continue to see an increased presence of AI-enabled machines and technology in tomorrow's school models and the educational system.
This promises to boost learning efficiency, amplify student engagement and productivity, and redefine teachers' responsibilities. Exactly how this will play out, though, is still up in the air. But it is a cause for excitement.
About the Author: Frank Hamilton is a blogger and translator from Manchester. He is a professional writing expert in such topics as blogging, digital marketing and self-education. He also loves traveling and speaks Spanish, French, German and English.