7 Ways Educators Are Using AI To Improve Learning Experiences

ways educators use AI to improve learning experiences artificial intelligence machine learning applications

Intelligence is making a major comeback. From kindergarten to high school classrooms to corporate training, continual learning is not only gaining popularity among students but is also being reinforced with smart technology. 

In education and across other industries, artificial intelligence is making learning practices easier and more effective. The technology helps boost student motivation and employee engagement through various practical uses. 

The following are the seven most common, yet ground-breaking developments in the overlapping fields of learning and AI: 

1. Intermediate Interval Education 


artificial intelligence tech in education

The human brain is wired to forget. 

People often omit more than half of the information presented to them after only one hour. Even though the latest research debunks the myth of shrinking attention spans, educators are still struggling with low retention rates. 

According to experts, the problem can be solved by a better presentation of information and improved teaching techniques. It’s up to educators to find new ways of unlocking their students’ potential. 

The following tricks are especially useful: 

● Keeping the content focused and relevant. 
● Opting for simple language and plastic explanations. 
● Increasing engagement through play elements. 
● Encouraging strategic repetition of key information. 

As we’ll see by the end of this post, AI technology can help optimize these tricks even further. Most importantly, it can monitor learning progress in real time and detect knowledge gaps that may lead to proactive and retroactive interference. 

This is called intermedial interval education

Powered by machine learning (ML) algorithms, AI has the ability to gain deeper insight into the learning patterns of individual students. Using this insight, it can calculate when the student is most likely to forget something and recommend revision. 

2. Virtual Facilitators / Digital Tutors 

Interference happens when past knowledge prevents the retention of newly acquired information or vice versa - when newly acquired information makes the student forget the previous knowledge. It’s all due to the so-called points of confusion. 

Every now and then, everyone gets confused while learning new concepts. This obstacle is a natural part of the learning curve, but it must not be ignored. On the contrary, points of confusion should be addressed and resolved as soon as they occur. 

Otherwise, they lead to interference. 

The best way to address a point of confusion is by expressing a dilemma. In a traditional classroom setting, students can simply ask their teachers to provide additional explanation. But in the eLearning environment, this wasn’t always possible. 

Until artificial intelligence came along. 

AI-based digital assistants similar to Siri or Alexa can provide 24/7 guidance and support to online students. Chatbots are effective in resolving confusion points too. In classrooms, AI can be applied in the same way through virtual facilitators. 

3. Universal Access For All Students 

Aside from ML, AI has another capability that makes this technology suitable for education. Natural language processing, or NLP for short, allows it to understand human language and communicate with people without sounding robotic. 

NLP can be applied to voice and text with the same accuracy. Because there’s also no limit to the specific languages it can process, this capability can help make eLearning classrooms available to students from all parts of the world. 

AI-enabled inclusiveness extends to students with visual and hearing impairments as well for whom access to traditional schools is drastically reduced or completely impossible. Thanks to NLP, AI technology is connecting the world of academia. 

4. Content Curation & Deployment 


ai technology educational applications schools higher education

After having presumed the role of researchers, digital assistants have expanded their CVs to content curation. AI is currently helping content authors create compelling new educational materials that can be used in traditional classrooms and online courses alike. 

Smart content, as educators call it, includes the following: 

● Content created by digital assistants using both ML and NLP. 
● Digitized textbooks and customizable eLearning interfaces. 
● Condensed content, digestible study guides, and flashcards. 
● Digital multimedia content for different types of devices. 

In addition to traditional learning materials, AI is creating content and copies for educational videos, infographics, and more. It’s perhaps even more important that this technology updates digital content on a regular basis, thus keeping it fresh and relevant. 

5. Automated Administrative Tasks 

Another practical use of AI technology in the industry directly concerns everyone involved in the creation and deployment of educational content, from brick-and-mortar schools and L&D teams to digital academies and online course providers. 

Without AI, educators can automate only some administrative tasks and only to a certain extent. With AI, possibilities are virtually unlimited. Teachers are already using ML algorithms for automatic grading, though mainly for multiple-choice tests. 

Any day now, AI will start assessing written responses as well. In a year or two, it will graduate to essays. Before then, smart technology will already have saved an extensive amount of teacher time, which will, in turn, have been dedicated to students. 

6. Differentiation & Personalization 

Personalized curriculums are the future of AI-powered education. 

We’re already seeing smart LMS software systems that are helping educators create individual learning paths based on student data. They track learning behavior and key performance indicators to calculate the most effective approach to individual students. 

The benefits of personalized learning are numerous: 

● Content is more focused on specific student needs. 
● Delivery is adjusted to match students’ learning styles. 
● Better motivation, engagement, and retention. 
● Reduced learning time. 
● Acquired knowledge is highly relevant and applicable. 

In future corporate training scenarios, the same learning management system software features will rely on AI to provide “transparent and personalized career advice”, while ML algorithms will help L&D teams develop custom-made and ultra-specific employee training courses. 

7. Real-Time Tracking & Feedback 

Nothing is more important for the future of the education industry than real-time tracking and feedback. We’ve already seen how AI helps detect and resolve student points of confusion as soon as they occur, thus improving knowledge acquisition and retention. 

Without monitoring, there’d be no real-time guidance. Students are not the only ones who need to work on bridging their knowledge gaps. Sometimes, they can pass by unnoticed in learning materials, classroom lectures, and online courses, leading to new points of confusion for which one cannot blame the students. 

Luckily, AI helps establish feedback loops for teachers and course creators. By measuring students’ key performance indicators, artificial intelligence detects oversights and errors made by educators themselves and recommends ways to improve content, lectures, and courses. 

Not to mention, AI collects direct feedback from students. 

Wrap Up 

Everything AI does for education is in service of creating a better, richer, and more effective learning experiences for students. Thanks to ML and NLP, this technology will only grow smarter in the future, helping educators help students unlock their fullest potential. 

Author Bio: Kamy Anderson is an ed-tech enthusiast with a passion for writing on emerging technologies in the areas of corporate training and education. He is an expert in learning management system & eLearning authoring tools - currently associated with ProProfs Training Maker.


I hope you enjoyed this blog post about the current ways that educators are using artificial intelligence to improve learning experiences.

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