AI is commonly referred to as other complex algorithms that do not qualify as AI.
Sometimes Artificial Intelligence is used with other terms such as Machine Learning and Deep Learning, but they are not the same. Machine Learning is one of the most common types of Artificial intelligence. Machine Language is used to process large amounts of data quickly.
In the context of eLearning, AI is a system that processes the ability to perform different tasks requiring human intelligence. It can offer solutions to human-related issues such as speech recognition, translations, decision making, etc.
Why should we use AI in eLearning?
In traditional corporate training model faced some common challenges:
- The content is a lot and long.
Most of the programs are made of long-form modules, and creating an hour of such training requires way too many hours, which overwhelms people easily.
- Lack of personalized experiences
Since content creation is time-consuming, eLearning courses are often too generic and can adapt to employee-specific needs.
- They don’t track the program’s effectiveness.
Calculating requires a lot of time to collect data and entry processes.
- It doesn’t match the workforce’s needs and expectations.
Today’s workforce prefers to self-manage their learning experiences.
- How AI is Transforming the eLearning Industry
Organizations are increasingly recognizing the potential of using AI in learning and development. According to the 2019 Gartner CIO Survey, 37% of companies had implemented some AI, representing a huge 270% increase over the past four years. In addition, the same report estimates that by 2021, 80% of emerging technologies will be based on me.
Personalized learning paths: This provides the right content to the right person at the right time.
eLearning platforms that leverage AI can customize content based on each students existing knowledge.
Personalized is a data-driven approach that continuously tracks each student’s performance, using a machine-learning algorithm to predict results and adapt content to reflect each student’s preferences. Preparing a personalized learning path for each student with relevant topics improves time efficiency and increases students’ motivation levels.
There is a single learning path and the course creator with the traditional training approach.
If incorporating eLearning platforms is a first step towards creating more effective corporate development systems.AI, onboarding is the second.
- Better Decision Making: Advanced Analytics
When evaluating your employees’ performance, instructors and training leaders face common limitations.
However, by leveraging an AI-based intelligence eLearning platform, it becomes possible to quickly analyze huge amounts of data and identify.
- Creating eLearning courses in less time
Automatic translation and localization feature. But with AI, it is now possible to develop multi-language content for branches in multiple countries.
Using an authoring tool like SHIFT, companies can reduce the time involved in localization services of an eLearning program from norths to just days; boosting the development process for projects that require content available is
- Expanded Engagement: Chatbots and virtual Tutors to support learners
Through AI, assessments can be performed easily and process inquiries from employees in real-time, accelerating and personalizing the learning process.
Like chatbots, virtual assistants can help both students and instructors by answering questions that might otherwise have been sent directly to the instructor or by assisting students to navigate course material in a friendlier way.
In addition, eLearning platforms that use chatbots become a guide for students o support them every step of the way for instance, assisting them to discover relevant resources based on their profile and topics of interest by suggesting various learning assets, eliminating the time and effort that it would take to perform this task manually.
The Future of eLearning
Over a couple of years, the use of this tech in the training and development industry increased by 47.5%, and investment in artificial intelligence I expected to reach $190.61 billion by 2025.
In the future, we expect many processes that today fall on people will be in charge of AI, but it is not to be alarmed: this only means that people will be better trained and that they will be able to make more complex tasks.
By harnessing the power of AI, companies can offer personalized learning at scale to save both instructors and employees time, allowing them to focus on more critical tasks.