Well, AI-based e-learning platform has the potential of influencing the future of e-learning and positively impacting on its development in diverse ways.
What is an AI-based eLearning platform?
The AI-based e-learning platform is a machine/system that possesses the ability to perform different tasks requiring human intelligence. It maintains the ability to create solutions to human-related problems, like speech recognition, translations involving different languages, decision making, and many more.
Even in our mobile devices, an artificial intelligence engine is incorporated to help in studying our pattern and creating likely suggestions during texting.
Even though the AI-based e-learning platform hasn’t become a standard learning approach amidst most learning organizations, there’s a need for it.
Although artificial intelligence hasn’t got much use, it’s on the way to make a positive contribution to the effectiveness of e-learning training. Below are some of the ways that AI can get introduced to impact and improve your e-learning.
5 ways AI-based eLearning platform can shape online learning
Real-time questioning
One of the vital roles of an AI-based e-learning platform is its ability to act as a tutor and provide answers to real-time questions. Many learners get faced with difficulties in getting clarification on a specific subject matter while learning is going on.
While a few learners are bold to seek clarification during the learning program, some might not. However, by incorporating artificial intelligence into your learning program, you provide the best option for learners to seek clarification anytime, at their convenience.
With AI, learners can easily ask questions on any unclear subject matter and get immediate answers.
Generate fresh learning content
For SMEs and e-learning professionals, creating course content is one of the factors of e-learning that consume time. AI systems, if well trained, can help to draw out valuable information and convert them into smart content for digital learning.
That allows professionals to focus more on creating a more engaging digital learning experience for their learners. e-learning course creation is one of the challenging parts of digital learning as it requires several skills.
With AI’s continuous growth, it can help to combine all the necessary skills to deliver an effective e-learning course.
Natural language processing
How many times have you wished to allow your learners to communicate with your learning course in their language? Well, with an artificial intelligence system, it’s almost a dream come true for you.
The most essential part or sub-field of artificial intelligence is natural language processing. It’s focused on enabling systems to quickly and efficiently process human language.
So, by integrating AI into your e-learning program, learners can be able to interact and ask questions from the system in the style/language of their choice.
That in addition to making learning more accessible, it will also save more time and help in developing engaging and efficient e-learning.
Personalized tutoring session
e-learning has been of great advantage to instructors in the sense that it enables them to create content that gets shared across to different learners. Ideally, it’s almost impossible for an instructor to cater to the needs of every learner at a time.
Of course, this one-size-fits-all approach is common in corporate training. It’s not the best approach as individuals have different learning styles that should be put into consideration before delivery them contents.
Artificial intelligence is vital for checking learner’s past performance and understanding their learning styles. It then uses the data to make changes to the new learning material before delivering a personalized learning experience that learners crave.
Gamification
A gamification technique is an essential approach in e-learning to engage and motivate learners towards acquiring new knowledge. With AI, planning tactical games for online training material is easy.
It helps to process a large number of data that are used to determine learners’ behavior and to provide them with updates about their learning progress.
