Benefits of Incorporating Artificial Intelligence in E-Learning
Artificial intelligence is already very much present in eLearning platforms meant not only for life-long learning but formal education as well. Duolingo and Thinkster are only two examples of prominent, globally-applied AI eLearning platforms which are already far beyond their testing phases. Using such platforms and applying the same AI algorithms to other learning tools already deployed in formal education does present a moral quandary.
Will AI help students become better prepared for the job markets of tomorrow, or will it hinder their abilities and dull their instincts? The benefits of using AI in eLearning far outweigh such questions because there are too many people who need personalized learning assistance out there.
“As the population grows, more and more children and college students will need AI assistance because there aren’t that many teachers to cater to everyone’s needs.”
Let’s take a look at the benefits of incorporating AI into learning and eLearning and see how it can help make teachers’ jobs easier going forward.
Firstly, the people who will benefit the most from introducing AI into eLearning are existing educational professionals. While there aren’t enough teachers to cover the needs of every student on the planet, AI can help the existing teachers and make their jobs easier. AI can analyze student performance data, advise on grading, as well as chart a personalized learning flow for each student and present it to teachers.
While teachers themselves can do these things, they are time-consuming and take away from paying closer attention to students. This applies to both corporate and formal education, as AI can act as an assistant to teachers, coaches, and instructors. In some cases, AI can be used to moderate eLearning for long-distance students entirely, where teachers act only as supervisors and administrators.
Enabling students in K-12 and higher education institutions to learn about robotics via eLearning is an important benefit to consider in using AI for learning. Robotics canimprove educationin schools and students can learn about how it works via dedicated eLearning platforms, courses, and materials. In these instances, professors can act as mentors and intermediaries between students and the eLearning platforms they use in the classroom.
AI present in the eLearning platform can quickly deduct how accurately a student is replicating the exercises and models presented by the curriculum. AI would know if a student made mistakes in building a robot model, how to improve on it, and which lessons to present them with.
What distinguishes us from artificial intelligence is the fact that each person is a unique individual. This means that traditional educational systems won’t be able to accommodate future generations in terms of educating them on the latest job market trends. Personalized eLearning powered by an AI curator will allow people to acquire new skills, hone existing ones, and stay in touch with industry trends.
All this would be possible at their own pace, meaning that there isn’t a strict schedule or exact learning routine to follow.
