43 Examples of Artificial Intelligence in Education (2023)

  • Artificial Intelligence

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43 Examples of Artificial Intelligence in Education (1)

The potential of using artificial intelligence in education to enhance learning, assist teachers and fuel more effective individualized learning is exciting, but also a bit daunting. To even have an intelligent conversation about AI in education, one must first push past imaginary science-fiction scenarios of computers and robots teaching our children, replacing teachers and reducing the human element from what is a fundamentally human activity.

One of the leading writers on the benefits of artificial intelligence in education, Matthew Lynch (“My Vision for the Future of Artificial Intelligence in Education”), is careful to explore the potential pitfalls along with the benefits, writing that “the use of AI in education is valuable in some ways, but we must be hyper-vigilant in monitoring its development and its overall role in our world.”

The ethical considerations are profound, as they are when it comes to using artificial intelligence in any type of setting. AI lacks a so-called “moral compass.” So, by one way of looking at it, AI programming is “as ethical as its developer,” according to TowardsDataScience, in an article about AI ethics that prescribes two important recommendations moving forward:

  1. We need to have ethics built into the idea of why a certain piece of technology, equipped with AI, is being developed.
  2. We need to monitor/check/police the outcomes of that specific piece of technology in order to fully understand its behavior and make sure that it’s not violating our (human) moral compass.

There is robust debate throughout the technology community and beyond about ethics in artificial intelligence and most university degree programs are integrating courses on AI ethics into their curriculum. There, now that we have identified the ethical elephant in the room, let’s talk about the exciting possibilities of AI in education.

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The Potential Benefits of AI in Education

Ideally, writes Lynch in The EdAdvocate, “AI does not detract from classroom instruction but enhances it in many ways.” He summarizes five intriguing potential pluses of integrating AI in education:

Personalization: “It can be overwhelmingly difficult for one teacher to figure out how to meet the needs of every student in his/her classroom. … AI systems easily adapt to each student’s individual learning needs and can target instruction based on their strengths and weaknesses.”

Tutoring: AI systems can “gauge a student’s learning style and pre-existing knowledge to deliver customized support and instruction.”

Grading: Sure, AI can help grade exams using an answer key; but it can also “compile data about how students performed and even grade more abstract assessments such as essays.”

Feedback on course quality: For example, if many students are answering a question incorrectly, “AI can zero in on the specific information or concepts that students are missing, so educators can deliver targeted improvements in materials and methods.”

Meaningful and immediate feedback to students: Some students may be shy about taking risks or receiving critical feedback in the classroom, but “with AI, students can feel comfortable to make the mistakes necessary for learning and receive the feedback they need for improvement.”

Much of the potential envisioned for AI in education centers on reducing time spent by teachers on tedious tasks to free up time for more meaningful ones.

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Automating administrative tasks is also one of five potential benefits spotlighted by Bernard Marr, an author, futurist and technology advisor who cites figures forecasting 47.5% growth from 2017-2021 in the use of artificial intelligence in education in the U.S.

In a video on the potential of AI in education, Marr explains why he sees AI having a “massive impact” in education — emphasizing that “AI is not a threat to teachers; it is not there to replace teachers,” but rather to deliver a better education to our children.” He envisions a future hybrid model that is designed to “get the best out of our artificially intelligent-enabled systems and our teachers.” Marr outlines the potential of AI to help our education provide enhanced:

  • Differentiated and individualized learning
  • Automation of administrative tasks
  • Tutoring and support outside the classroom
  • Universal access for all students

43 Examples of AI in Education

Inspired by a challenge from “an old school teacher who thinks that AI is ruining education,” Matthew Lynch reviews a wide range of topics in a piece titled “26 Ways That Artificial Intelligence Is Transforming Education For The Better.” For example:

Adaptive Learning: “Used to teach students basic and advanced skills by assessing their present skill level and creating a guided instructional experience that helps them become proficient.”

Assistive Technology: AI can help special needs students access a more equitable education, for example by “reading passages to a visually impaired student.”

Early Childhood Education: “AI is currently being used to power interactive games that teach children basic academic skills and more.”

Data and Learning Analytics: “AI is currently being used by teachers and education administrators to analyze and interpret data,” enabling them to make better-informed decisions.

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Scheduling: Helping administrators to schedule courses and individuals to manage their daily, weekly, monthly or yearly schedules.

Facilities Management: AI is effective at “monitoring the status of power, Wi-Fi and water services; alerting the facilities management workers when problems arise.”

Overall School Management: AI is currently being used to manage entire schools, powering student records systems, transportation, IT, maintenance, scheduling, budgeting, etc.

Writing: Not only does Lynch assert that AI is already at work helping students improve their writing skills, he confesses, “I am currently using a grammar and usage app to help me write this article.”

Running down his list, Lynch also cites current uses of AI in education that include:

  • Classroom/Behavior Management
  • Lesson Planning
  • Classroom Audio-Visual
  • Parent-Teacher Communication
  • Language Learning
  • Test Prep
  • Assessment
  • Learning Management Systems
  • Gamification for Enhanced Student Engagement
  • Staff Scheduling and Substitute Management
  • Professional Development
  • Transportation
  • Maintenance
  • Finance
  • Cybersecurity
  • Safety and Security

Examples of how artificial intelligence is currently being used in higher education include:

  • Plagiarism Detection
  • Exam Integrity
  • Chatbots for Enrollment and Retention
  • Learning Management Systems
  • Transcription of Faculty Lectures
  • Enhanced Online Discussion Boards
  • Analyzing Student Success Metrics
  • Academic Research
  • Connected Campuses

In terms of AI-infused specific technologies now being used in education, the list grows longer every day. Here are just a few:

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  • Thinkster Math: described by its creators as a “math tutoring program leverages human interaction and groundbreaking artificial intelligence to create personalized learning programs”
  • Jill Watson: an AI-enabled virtual teaching assistant introduced by the Georgia Institute of Technology in 2016
  • Brainly: a social media site for classroom questions
  • Nuance: speech recognition software used by students and faculty; capable of transcribing up to 160 words per minute; especially helpful for students who struggle with writing or have accessibility needs
  • Cognii: AI-based products, including a virtual learning assistant, for K-12 and higher education institutions, as well as corporate training organizations
  • KidSense: AI educational solutions designed for children, including a voice-to-text tool with algorithms built to recognize the sometimes harder-to-translate speech of young learners
  • Content Technologies: instructional design and content application solutions fueled by artificial intelligence research engines

As explained by CEO Dr. Scott Parfitt (see video), Content Technologies Inc. develops AI learning systems that are focused on “turning big data into information, and information into knowledge.”

“We send an engine out, it starts reading at light speed every article it can read. It’s learned its own material,” says Parfitt. The company’s education-focused solutions include:

  • Palitt: built to help instructors easily create “your own custom lecture series, syllabus or textbook”
  • Cram101: AI technology that can “turn any textbook into a smart study guide complete with chapter summaries, unlimited true-false and multiple choice practice tests and flashcards all drilled down to a specific textbook, ISBN number, author and chapter.”
  • JustTheFacts101: intended to function as the AI equivalent of an old-fashioned yellow marker, instantly highlighting and generating book and chapter-specific summaries

AI in Education [Inclusion and Universal Access]

Bernard Marr explains that AI tools can enhance inclusion and universal access to education in a number of ways, including:

  • Helping to “make global classrooms available to all, including those who speak different languages or who might have visual or hearing impairments”
  • Creating access for “students who might not be able to attend school due to illness”
  • Better serving “students who require learning at a different level or on a particular subject that isn’t available in their own school”

Overall, it is hoped that AI will ultimately help educators make continued progress in addressing the broad range of physical, cognitive, academic, social and emotional factors that can affect student learning and ensure that all students have equal opportunity in education, regardless of their social class, race, gender, sexuality, ethnic background or physical and mental disabilities.

AI in Education [Individualized Learning]

There is also considerable optimism around the idea that, as artificial intelligence becomes a more integral part of the classroom, teachers will be better equipped to offer an individualized learning experience for every student.

According to an article in The Atlantic, (“Artificial Intelligence Promises a Personalized Education for All”), artificial intelligence holds the potential to “enhance human teachers’ abilities to tailor lessons to each student without knocking their class schedule off track,” eliminating the need for educators to “teach to the middle,” as often happens when their students have a range of skill levels and learning abilities.

Rose Luckin, a professor of learning-centered design at University College London, is quoted as saying that, “The real power of artificial intelligence for education is in the way that we can use it to process vast amounts of data about learners, about teachers, about teaching and learning interactions.” Ultimately, AI can “help teachers understand their students more accurately, more effectively.”

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The Future of AI in Education

Though there continues to be widespread debate over the pros and cons of deploying AI technology in the field of education, including the concerns about depersonalization and the ethical considerations cited above, there is an emerging consensus that the extraordinary range of current and future benefits will carry the day.

This report on Artificial Intelligence in Education was developed by the University of San Diego’s innovative, online Master of Science in Applied Artificial Intelligence program, an AI industry thought leader and education partner.


How artificial intelligence is used in education? ›

AI enhances the personalization of student learning programs and courses, promotes tutoring by helping students improve their weak spots and sharpen their skills, ensures quick responses between teachers and students, and enhances universal 24/7 learning access.

What is Artificial Intelligence give 10 examples? ›

Perhaps the most popular use of A.I. comes in the form of digital smart assistants, such as Siri, Alexa and Google Assistant. These A.I. -powered personal assistants are able to take in your voice commands and translate them into actions, such as adding items to your shopping list or calling a friend.

What are the 10 applications of artificial intelligence? ›

What Are the Applications of Artificial Intelligence?
  • Personalized Shopping. ...
  • AI-powered Assistants. ...
  • Fraud Prevention. ...
  • Administrative Tasks Automated to Aid Educators. ...
  • Creating Smart Content. ...
  • Voice Assistants. ...
  • Personalized Learning. ...
  • Autonomous Vehicles.
30 Nov 2022

What is artificial intelligence with examples for students? ›

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

What is the best examples artificial intelligence? ›

From taxi service apps to Google, multiple areas are using the power of AI to solve their complex problems. A great example of AI in transport is the development of self-driving cars. These cars can reduce the total number of vehicles on the road by 75% and reduce traffic accidents to about 90%.

What are the 7 types of AI? ›

7 Important Types Of AI To Watch Out For In 2022
  • Reactive Machines.
  • Limited Memory.
  • Theory of Mind.
  • Self-Aware.
  • Artificial Narrow Intelligence (ANI)
  • Artificial General Intelligence.
  • Artificial Super Intelligence (ASI)
8 Mar 2021

What makes technology become artificial intelligence give at least three 3 examples? ›

The most important technologies that make up AI are machine learning (ML), deep learning, and natural language processing (NLP). Machine Learning is the process by which machines learn how better to respond based upon structured big data sets and ongoing feedback from humans and algorithms.

What is artificial intelligence with real time example? ›

AI Applications of Real-World. Artificial Intelligence is a field of science and engineering primarily focused on developing systems that depict human intelligence. We have seen how virtual assistants like Siri, Alexa, Google Now, and Cortana help us find useful information just by asking them.

What is AI in the classroom? ›

Think of it as an advanced version of a chatbot with a face. In an online classroom, AI can help respond to student questions, often even faster than the teacher! This allows for more time from the teacher to provide the type of personalized feedback that students truly need, which is often difficult to find time for.

What are the 4 key applications of AI in education and training sector? ›

10 Applications and Benefits of Artificial Intelligence in the Education Industry
  • Personalized learning. ...
  • Task automation. ...
  • Smart content creation. ...
  • Adaptable access. ...
  • Determining classroom vulnerabilities. ...
  • Closing skill gap. ...
  • Customized data-based feedback. ...
  • 24*7 assistance with conversational AI.
27 Jul 2022

Which is an example of artificial intelligence AI? ›

Examples of artificial intelligence range from handling client interactions through chatbots (like Progressive's Flo) to using machine vision to assess auto damage. As machine vision and AI capabilities increase, human involvement will likely play less of a role in claims decisions.

What are the 2 types of learning in AI? ›

Factoring its representation of knowledge, AI learning models can be classified in two main types: inductive and deductive.

What are the 17 goals of AI? ›

Here's what AI can do to help humanity reaching the UN's 17 Sustainable Development Goals:
  • No poverty.
  • Zero hunger.
  • Good health & well-being.
  • Quality education.
  • Gender equality.
  • Clean water & sanitation.
  • Affordable & clean energy.
  • Decent work & economic growth.

What is a good example of narrow artificial intelligence? ›

Examples of narrow AI

They are as follows: Image and facial recognition systems. These systems, including those used by social media companies like Facebook and Google to automatically identify people in photographs, are forms of weak AI. Chatbots and conversational assistants.

What is artificial intelligence with examples for kids? ›

Artificial intelligence, or “AI,” is the ability for a computer to think and learn. With AI, computers can perform tasks that are typically done by people, including processing language, problem-solving, and learning. Artificial intelligence is a tool, much like other types of new technologies.

What are 4 advantages of AI? ›

The following are the primary advantages of AI:
  • AI drives down the time taken to perform a task. ...
  • AI enables the execution of hitherto complex tasks without significant cost outlays.
  • AI operates 24x7 without interruption or breaks and has no downtime.
  • AI augments the capabilities of differently abled individuals.

Where AI is used in daily life? ›

Voice assistants, image recognition for face unlock in cellphones, and ML-based financial fraud detection are examples of AI software currently being used in everyday life. Typically, just downloading AI software from an online store and having no other devices is required.

What are the main Artificial Intelligence? ›

There are four types of artificial intelligence: reactive machines, limited memory, theory of mind and self-awareness.

What is artificial intelligence best answer? ›

Artificial Intelligence is a technique that enables machines to mimic human behavior. Whereas, Machine Learning is a subset of Artificial Intelligence. It is the science of getting computers to act by feeding them data and letting them learn a few tricks on their own, without being explicitly programmed to do so.

What is AI write any two examples? ›

Using virtual filters on our faces when taking pictures and using face ID for unlocking our phones are two examples of artificial intelligence that are now part of our daily lives. The former incorporates face detection, meaning any human face is identified.

What is the first example of AI? ›

The earliest successful AI program was written in 1951 by Christopher Strachey, later director of the Programming Research Group at the University of Oxford. Strachey's checkers (draughts) program ran on the Ferranti Mark I computer at the University of Manchester, England.

What are 3 good things about artificial intelligence? ›

Advantages of Artificial Intelligence
  • Reduction in Human Error. ...
  • Zero Risks. ...
  • 24x7 Availability. ...
  • Digital Assistance. ...
  • New Inventions. ...
  • Unbiased Decisions. ...
  • Perform Repetitive Jobs. ...
  • Daily Applications.
18 Nov 2022

What are 3 benefits of AI? ›

What are the advantages of Artificial Intelligence?
  • AI drives down the time taken to perform a task. ...
  • AI enables the execution of hitherto complex tasks without significant cost outlays.
  • AI operates 24x7 without interruption or breaks and has no downtime.
  • AI augments the capabilities of differently abled individuals.

When was AI first used in education? ›

Though AI-based education has burgeoned rapidly in the last 10 years, research on AIEd emerged as early as in the seventies. From 1964 to 1966, Eliza, an early natural language processing (NLP) programme was built by Joseph Weizenbaum (1966) in MIT.

What are the 7 original aspects of AI? ›

The original seven aspects of AI, named by McCarthy and others at the Dartmouth Conference in 1955, include automatic computers, programming AI to use language, hypothetical neuron nets to be used to form concepts, measuring problem complexity, self-improvement, abstractions, and randomness and creativity.


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