Examples Of AI In Online Learning
Artificial Intelligence has made leaps in recent years, turning from a theoretical concept to an everyday reality. Most of us use some form of AI when we unlock our smartphones, log into social media, use our smart home devices, or make electronic payments. It was only natural for AI to take over the world of online learning as well. In this article, we explore 5 ways you can utilize AI in online learning to bring your eLearning course one step closer to the future.
5 AI Functions To Include In Your eLearning Course
To achieve their maximum potential, learners need specific content that adapts to their knowledge gaps, abilities, and learning goals. Usually, a teacher, instructor, or mentor is responsible for that. However, that’s not possible when you have multiple learners, especially if many of them are remote. AI-powered adaptive learning uses algorithms that assess a user’s current skillset and identify their gaps to provide customized content. In addition, the system can analyze the way the user interacts with the course and make necessary adjustments.
Natural Language Processing
This function is often used in language learning applications to recognize iterations of phrases and assess pronunciation accuracy. However, an AI system that recognizes natural speech can be very helpful for your eLearning course. Let’s say you’re training sales reps on handling different customer personalities. You can use this technology to diversify your branching scenarios so that trainees can also speak and not only type. This way, not only will the training become more realistic, but you’ll also be able to assess and work on additional elements, such as tone of voice, volume, speech tempo, etc.
Virtual Support And Tutoring
Artificial Intelligence has brought a plethora of new tools to the world of online learning, such as chatbots and virtual assistants. These tools offer 24/7 support by answering learner questions immediately and at any time. This can be highly beneficial for learner engagement, as trainees don’t have to wait hours or even days for their instructor to get back to them. However, AI chatbots don’t only answer preset questions. They also learn from their interaction with online learners, which allows them to predict answers to questions that haven’t been asked yet. Finally, an AI assistant for online learning can also be programmed to navigate learners through a course, helping them make the most out of it.
Much like in adaptive learning, AI can be programmed to automatically identify and gather additional resources for online learners. Specifically, based on the interaction with the learner and their specific interest and goals, the system can suggest relevant material to enrich the learning experience. In addition, this helps personalize the process, as each learner receives unique suggestions. Keep in mind that, for this function to be successful, a comprehensive resource library must already be in place.
The positive effects of gamification on online learner engagement have been proven numerous times. However, as technology continues to evolve, simpler forms of gamification might be losing their charm. Why not use Artificial Intelligence to create a more dynamic experience? AI-powered gamification can keep the learner engaged by adjusting the level of difficulty so that they never get frustrated enough to give up. Moreover, it can predict when the user is likely to lose interest and introduce an activity that will recapture their interest. Finally, AI can generate personalized content according to the learner’s preferences, thus keeping motivation levels high.
Limitations Of Using AI In Online Learning
The AI uses we described above paint a compelling concept for the future of AI-powered online learning. But before you decide to embark on this journey of incorporating Artificial Intelligence in your eLearning course, we think it’s important that you consider the following limitations.
1. Reduced Personal Connections
Although using AI in eLearning can significantly improve the learning process, we shouldn’t forget that technology cannot substitute for the instructor. Learners still need the social interaction that comes from communicating with their tutor and peers. Lack of direct and regular interaction can lead to oversights and a less-than-satisfactory experience.
2. Questionable Emotional Intelligence
Let’s face it; machines used for learning purposes may be smart, but not enough to replace humans. The main reason for that is that AI doesn’t (yet) have emotional intelligence. This makes its decision-making process prone to more mistakes when complicated or unexpected circumstances are in place.
3. Necessity For AI Expertise
Finally, incorporating AI in your (online) learning programs depends on your tech-savviness as an instructor. Besides, you are the one who is expected to maintain the machine’s functionality and solve problems when they arise. Unfortunately, this is a field of expertise that few have mastered to this day.
As Artificial Intelligence keeps evolving, more and more functionalities are introduced and made available for wide use. This way, instructors are now able to access this technology and use it to create online courses that are more engaging and efficient than ever before. In this article, we described a few ways you can use AI in online learning, as well as some limitations you need to keep in mind to make the most of it.
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