AI in eLearning Experiences: Personalized Learning

AI in eLearning for personalized experiences

Artificial Intelligence (AI) is reverberating across sectors, but the education sector is the only industry witnessing the transformative potential of AI. According to Global Market Insights [1]AI in education will see a CAGR of 10% from 2023 to 2032. Specifically, the intelligent AI content segment that provides better learning opportunities will witness a CAGR of 25%. And the use of AI in eLearning has been revolutionary for its ability to provide personalized learning experiences. eLearning has penetrated all areas of education, be it school education or employee training. Today it is an essential part of pedagogy. However, by using artificial intelligence in e-learning, educational institutions and business entities can personalize learning for better results.

Why do personal learning experiences matter?

Personalized learning is the recognition that the traditional “one size fits all” educational approach does not meet the needs of every individual. Since each person has different ways of learning, personalization helps them achieve the desired results. For example, a child with an above average IQ can grasp ideas more quickly than a child with an average IQ. If you give both children the same educational course, one will fall behind while the other shines. But by designing and delivering courses specific to both kids’ IQ levels, they learn at their own pace and comfort level.

The same goes for personalized training for employees. Every individual is different and a “one-size-fits-all” training course does not work. For example, if one employee finds visual learning more attractive than textbook manuals, another may prefer one-on-one instruction to group presentations. Training each individual according to their ideas will benefit them. With personalized learning, employees can benefit in many ways. And for organizations, a well-trained workforce is an increase in productivity. This is where AI in eLearning comes in handy. It takes a one-size-fits-all approach, automating the delivery of personalized learning experiences and helping educational institutions and businesses respond quickly to the growing educational needs of the digital workforce.

How AI is helping to deliver personalized e-learning experiences

Here’s how artificial intelligence provides a personalized experience for students:

1. Control over learning

A big advantage of artificial intelligence in e-learning is that it allows the learner to control their learning trajectory. Based on learning outcomes, the AI-powered eLearning platform can recommend micro-lessons or provide extra work. It can review assessment performance and analyze students’ strengths and weaknesses and suggest ways to improve. If an employee is trying to learn a new skill, the AI tool will adapt the tutorial to the individual’s level of difficulty and help them gradually master the skill. Some platforms gamify the learning process to stimulate employee interest in training and achieve goals. In addition, with an eLearning platform with artificial intelligence, the student can set the pace of the course according to his wishes and schedule it automatically.

AI does all this by in-depth analysis of user-generated data. Users’ responses and actions, preferences and performances and behavior on the platform all go into building accurate profiles based on science. The result is a personalized experience that engages students in immersive pedagogy.

2. Accurate content delivery

eLearning platforms often provide general course content. Such content may be irrelevant to individuals seeking specific needs. But with an AI-based platform, this problem does not arise. Content delivery will be so accurate that the student does not have to search for relevant content on the Internet. Through unranked assessments and other methods, algorithms understand a person’s requirements and recommend a course specifically for their needs. This is personalized learning at its best!

Many organizations are now deploying artificial intelligence-based learning management systems (LMS) where employees can access lessons, presentations, training guides, tests and lectures all in one place. Statistics predict that by 2024, 47% of LMS tools will be AI driven. These intelligent eLearning platforms provide targeted learning content. For example, AI platforms can identify gaps in an employee’s skills and help fill them by providing a course in line with the employee’s career goals.

3. Real-time feedback

Thanks to artificial intelligence, students can get meaningful feedback instantly. AI-enabled eLearning platforms often deploy chatbots that can answer support questions in real-time. The platform also mentors users when they face difficulties in understanding concepts. The Intelligent Tutoring System (ITS), a critical component of eLearning AI, helps teach complex subjects effectively. It uses the power of machine learning (ML) to simulate teacher-student interactions and provides insight into how the employee is learning, allowing tutors to create a better learning interface. Powerful AI learning analytics visualize student performance and provide accurate feedback. Students can assess their learning trajectory and adapt their efforts to the lessons learned.

4. Creation of new content

Creating eLearning courses is a time-consuming task. One has to sift through mountains of information to create new content for students. But thanks to the use of AI, content creation is easier and faster. Artificial intelligence technology can quickly create new courses by processing a ton of information generated by students. It can curate content specifically based on an individual’s learning needs. For example, if you want an eLearning course to be available in multiple languages, use an AI tool with language translation capabilities [2] can quickly provide a course in any language. Additionally, with AI in content creation, your instructional designers can work on urgent matters such as improving learning materials based on AI suggestions or creating innovative methods for delivering education.

5. Increased motivation

Individual courses make students feel empowered. In particular, employees believe that the organization takes them seriously. They get extra motivation to complete the course as they set a comfortable pace based on their performance. And targeted classes will pique a student’s interest and motivate them to get going.

Win-win offer!

All in all, AI in eLearning is a win-win proposition for students, staff, instructors and organizations. While students can be motivated to pursue required subjects and gain knowledge, employees can save time and energy by learning only the relevant information needed for their jobs. And for administrators or lecturers, an AI eLearning platform frees up time, automates tedious tasks, eliminates bias and achieves more.

Wrap up

AI is an intelligent system. To be more intelligent and provide careful personalized learning, it needs to use new and relevant data for training. The system must be exposed to multiple variables and input data types. It then learns on its own and improves functionality with each data feed cycle. If you want to hire an AI system, make sure it is well trained. Not all AI-based e-learning platforms can provide truly personalized learning experiences.