Education is a constantly evolving field, yet traditional methods often struggle to keep pace with the diverse needs of today’s learners. That is when artificial intelligence steps in. By using AI in education, teachers, students, parents, and businesses can improve accessibility, adapt content in real time, and boost learning outcomes.
No wonder why the demand for AI in education is booming! In 2024, 86% of students used AI tools for their schoolwork, with nearly a quarter of them doing so every day.
So, why is AI good for education? What is personalized learning? How can we use AI in education? Keep reading to find answers to these and many other questions.
Benefits of AI in education
According to the 2024 State of EdTech District Leadership report, 97% of EdTech leaders see benefits in artificial intelligence’s impact on education, especially regarding productivity and personalization. An increasing number of educators and businesses are using AI in learning and training, and regret not adopting it sooner.
So what are the main benefits of artificial intelligence in education? Let’s discuss 5 of them in the paragraphs below.
Personalized learning
Traditional educational methods often leave students struggling because every learner has unique skills, pace, and background. However, AI technology in education makes it easy to address these differences by adapting lessons and providing real-time feedback and support.
It can help struggling students catch up with the rest of the class and offer advanced learning plans to those ahead. Artificial intelligence meets unique learning needs, making education fun, engaging, and effective.
Better student engagement and motivation
How can AI benefit education if learners don’t want to study at all? Well, multiple AI-powered instruments make learning engaging and interactive by implementing gamification, progress bars, virtual simulations, and collaboration features.
Adaptive platforms alter the content based on students’ progress and answers, keeping them interested with suitable difficulty levels and motivational content. By implementing virtual assistants and chatbots, learning platforms offer immersive experiences, which results in active participation and lower bounce rates.
Improved accessibility and inclusivity
In addition to tailored educational programs, AI tools offer personalized learning to students with various disabilities. They provide speech-to-text conversion, real-time translations, and adaptive content ensuring inclusivity of online courses and offline classes.
Artificial intelligence can also help identify learning challenges as early as possible and help students with ADHD, dyslexia, and other conditions master materials in full.
Automated administrative tasks
When discussing advantages of AI in education, we can’t help but mention their positive impact on streamlining administrative duties. There are already multiple instruments that assist educators with attendance tracking, grading, and class scheduling so they can concentrate on interaction and teaching.
AI chatbots and teachers already work shoulder to shoulder, improving efficiency, saving time, and addressing every query on time.
Data-driven insights for educators
The role of AI in education is difficult to overestimate, as it not only personalizes learning, improves engagement, and reduces workload on educators, but also provides deep insights into student performance and potential challenges.
By analyzing personal information and responses, artificial intelligence helps educators identify students who are falling behind, alter teaching strategies, and improve the curriculum.
Key applications of AI in education
As we already mentioned, this technology is widely used in education. It helps teachers grade tasks, personalize students’ learning plans, and businesses analyze their workforce. If you also want to find your place in the niche, draw inspiration from the following applications of AI in the education sector.
Adaptive learning platforms
Such platforms use AI to personalize educational content based on the student’s knowledge, struggles, and progress. They are widely used in school education, colleges, and professional training programs to improve learning efficiency.
By adjusting the difficulty of the lesson, suggesting topics, and recommending resources, adaptive AI tools in education help learners avoid boredom and educators to assist those who struggle. By adding mobile adaptability, gamification, and real-time feedback, such tools make learning a positive experience.
Example: Knewton Alta
A great example of an adaptive learning platform is Knewton Alta, which monitors students’ skills and adjusts them in real time to boost their learning. When students experience difficulties, Knewton Alta immediately recognizes it and delivers exactly what they need. This platform is available for numerous course areas, including biology, physics, economics, and psychology.
Intelligent tutoring systems
Another great application of AI in education is ITS. These tutoring systems, powered by artificial intelligence, mimic human teachers and provide on-demand support in realtime. They use natural language processing and machine learning to keep up conversations and help students understand complex topics simply and engagingly.
ITSs are especially useful for complex subjects like science and math. Tutoring systems have rich functionality based on the niche and educational level they are designed for: NLP support, real-time clues, user profiling, automated grading, progress tracking, and more.
Example: Carnegie Learning’s MATHia
It is difficult to find a better intelligent tutoring system than Carnegie Learning’s MATHia: a one-on-one math coach with assessments and real-time feedback. It offers a combination of research, cognitive science, and practical tips to make math simple and understandable, not depending on the student’s level.
AI teaching assistant
Every student has their strengths, weaknesses, and personal traits, and teachers often find themselves unable to dedicate equal time and energy to all learners. That is when a great application of artificial intelligence in education steps in. We are talking about AI teaching assistants.
These companions automate routine tasks, help with common questions, and analyze student performances to reduce the workload on educators. AI teaching assistants help both sides and evolve at a huge speed, adding more and more features to their arsenal.
Example: Jill Watson
Those who want to build an AI teaching assistant often take Jill Watson as an example. Known as a computer that beat two Jeopardy champions, Jill is able to handle huge volumes of student posts in Georgia Tech’s Computer Science program. It provides accurate and timely replies online, giving teachers much-needed time for other assignments.
AI in corporate learning and training
AI applications in education are not limited to schools and colleges. They are also transforming professional training by offering personalized educational programs, skill gap analysis, real-time grading, interactive simulations, and progress monitoring.
Companies widely use AI-powered learning management systems to adjust training programs to employee knowledge, skills, and roles. At the same time, AI chatbots help with task completion and provide instant assistance when needed. Thus, business owners ensure effective training and onboarding.
Example: Cornerstone Galaxy
To get familiar with how AI in corporate learning and training performs, test Cornerstone Galaxy. With 140 million users in 186 countries and 30 international awards, it provides a turnkey solution for self-directed learning, continuous performance management, and developing an agile workforce strategy.
AI for accessibility and inclusivity
Artificial intelligence is irreplaceable when it comes to supporting students with learning difficulties and disabilities. For example, speech-to-text tools help hearing-impaired learners, while real-time translation assists those with language barriers. Some AI-based programs can detect ADHD, dyslexia, and other challenges that make education difficult.
AI and personalized learning come hand-in-hand and can make education more adaptable, creating secure and convenient learning environments for students with different needs.
Example: Rev.ai
If you are interested in developing a technical solution in this category, we recommend researching Rev.ai. It is considered one of the most accurate APIs for generated transcripts. Here are only some of the features this tool offers: real-time and asynchronous transcriptions, language identification, summarization, translation, and topic extraction.
AI-driven lesson creation platforms
Millions of educators worldwide dream of platforms that would make lesson preparation simpler and faster. So why not develop a lesson creation platform using AI tools? Such platforms can generate automated content, create personalized educational plans, suggest resources, support multimedia, and contain collaboration instruments for comprehensive learning.
Examples: Curipod and Eduaide
Great examples of artificial intelligence in education for lesson creation are Curipod and Eduaide. They have extensive resource libraries, time-saving tools, feedback bots, and much more.
AI-powered assessment tools
When discussing AI in the education industry, we can’t help but mention assessment tools. They provide instant and accurate evaluation by analyzing student answers and automating grades. Such instruments can evaluate most types of papers, including quizzes, multiple-choice, and even open-ended works. AI-powered assessments help educators reduce workload, monitor progress, and improve teaching strategies.
Example: Gradescope
Gradescope is a great example of AI assessment tools. It supports worksheets, problem sets, quizzes, and even complex exams. Gradescrope scans student work, evaluates it, sends and exports grades, and generates detailed analytics. This niche is yet to be filled, so why not give it a try?
AI-driven tools for classroom management
The last but not least use of AI in education we want to discuss are tools that assist teachers to improve classroom management. They include many features we have already discussed and, in addition, help with attendance tracking, participation in activities, and sending real-time alerts.
Example: Classcraft
Classcraft, for example, is great for managing classrooms. It consists of student, classroom, and teacher panels, each of which is packed with various features. Thus, educators can control what is being displayed on screens, plan notes, and initiate discussions. With the help of Classcraft, students can engage with instructional tools and collaborate with classmates.
At Eastern Peak, we can help you build smart, AI-driven EdTech solutions that truly engage and empower learners. Looking to create your own AI-based EdTech product?
Challenges and considerations of AI in education
Artificial intelligence has a significant positive impact on education. However, its integration comes with certain obstacles. The most common challenges of AI in education to consider are data privacy, bias, and collaboration between humans and computers. Below, we’ll dive deeper into these challenges (and how to overcome them) in detail.
Data privacy concerns
To work correctly, AI-powered tools need huge amounts of information, including personal details, academic performance, and online behavior, which raises security and privacy concerns. Sensitive information may be violated or misused, resulting in data poisoning, breaches, and exploitation.
Luckily, this negative impact of AI in education can be reduced to a minimum when all participants agree on securing data. Schools and other educational institutions must comply with GDPR and have strong privacy policies, while software developers should apply top-notch encryption and access controls.
Bias and fairness
The future of AI in education may be darkened by bias, even if it is unintentional. If AI algorithms are trained on misleading information, they may give preference to a certain group of students based on their skillset, demographics, socioeconomic status, or responses.
To address this issue, engineering companies must ensure diverse and unbiased training data, ethical software development, and continuous monitoring. Educators, in turn, should stay vigilant and promptly report any signs of biased behavior. Only by having people and machines work together can we create a secure and fair environment where everyone thrives.
Teacher and AI collaboration
Some educators question AI use in education because they worry that computers will eventually replace them. While AI tools provide personalized learning, automated testing, and lesson planning, they still need humans for emotional support and mentorship.
To overcome this challenge, or rather fear, educators need to be trained on how to integrate AI instruments into their teaching strategies while maintaining full control over the learning process. The ideal approach is when AI supports teachers by managing repetitive tasks, allowing them to concentrate on comprehensive development and deeper connections with students.
Artificial intelligence in education: shaping tomorrow’s learning landscape
The use of artificial intelligence in education is extensive, with new tools emerging literally every day. With the help of AI, students can personalize learning plans, educators can create engaging presentations and grade works, and businesses can analyze skill gaps and implement scenario-based learning. Artificial intelligence is able to solve almost every education-related challenge.
If you are willing to become a part of a quickly-evolving, challenging, and profitable market, get in touch with our team. Eastern Peak offers top-notch software development solutions by utilizing advanced technologies like AI. Let’s turn your vision into a product that leads the way!
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About the author:
Alexey Shalimov, CEO at Eastern Peak
As CEO at Eastern Peak, a professional software consulting and development company, Alexey ensures top quality and cost-effective services to clients from all over the world. Alexey is also a founder and technology evangelist at several technology companies. Previously, as a CEO of the Gett (GetTaxi) technology company, Alexey was in charge of developing the revolutionary Gett service from ground up and deploying the operation across the globe from New York to London and Tel Aviv.
