November 29, 2023

Examples of AI in online learning

Artificial intelligence has made leaps and bounds in recent years, changing from a theoretical concept to an everyday reality. Most of us use some form of artificial intelligence when we unlock our smartphones, log into social networks, use our smart home devices or make electronic payments. It was only natural that artificial intelligence took over the world of online learning as well. In this article, we’ll explore 5 ways you can use AI in online learning to take your eLearning course one step closer to the future.

5 AI features to include in your eLearning course

Adaptive learning

To reach their maximum potential, students need specific content that adapts to their knowledge gaps, abilities, and learning goals. Usually a teacher, instructor or mentor is responsible for this. However, this is not possible when you have multiple students, especially if many of them are remote. AI-powered adaptive learning uses algorithms that assess a user’s current skill set and identify their gaps to deliver tailored content. In addition, the system can analyze the way the user interacts with the course and make the necessary adjustments.

Natural language processing

This feature is often used in language learning applications to recognize repetition of phrases and assess pronunciation accuracy. However, an AI system that recognizes natural speech can be very useful for your eLearning course. Let’s say you’re training sales reps to deal with different customer personas. You can use this technology to diversify branching scenarios so that students can also speak and not just write. In this way, the training will not only become more realistic, but you will also be able to assess and work on other elements such as tone of voice, volume, pace of speech, 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 round-the-clock support by answering students’ questions immediately and at any time. This can be very beneficial for student engagement as participants do not have to wait hours or even days for their instructor to get back to them. However, AI chatbots do not only answer pre-set questions. They also learn from interacting with online students, allowing them to predict answers to questions that have not yet been asked. Finally, an AI assistant for online learning can also be programmed to guide students through the course and help them get the most out of it.

Additional resources

Similar to adaptive learning, artificial intelligence can be programmed to automatically identify and gather additional resources for online learners. Specifically, based on the interaction with the student and their specific interests and goals, the system can suggest relevant material that will enrich the learning experience. Additionally, it helps personalize the process as each student receives unique suggestions. Note that a comprehensive resource library must already exist for this feature to be successful.

Gamification with artificial intelligence

The positive effects of gamification on online student engagement have been proven many times. However, as technology continues to evolve, simpler forms of gamification may lose their appeal. 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 are never frustrated enough to give up. Additionally, it can predict when a user is likely to lose interest and implement an activity that recaptures their interest. Finally, artificial intelligence can generate personalized content according to the learner’s preferences, thus maintaining a high level of motivation.

Limiting the use of AI in online learning

The uses of AI we have described above create a compelling concept for the future of AI-based online learning. However, before you decide to embark on the journey of incorporating AI into your eLearning course, we think it’s important to consider the following limitations.

1. Limited personal connection

Although the use of artificial intelligence in eLearning can significantly improve the learning process, we should not forget that technology cannot replace the instructor. Students still need the social interaction that comes from communicating with their teacher and peers. A lack of direct and regular interaction can lead to oversights and less than satisfactory experiences.

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 is that AI does not (yet) have emotional intelligence. This makes his decision-making process prone to more errors when complicated or unexpected circumstances arise.

3. Necessity for AI expertise

Finally, incorporating artificial intelligence into your (online) learning programs depends on your technical prowess as an instructor. In addition, you will be expected to maintain machine functionality and troubleshoot problems as they arise. Unfortunately, this is a field that few people have mastered to this day.


As AI continues to evolve, more and more features are introduced and made available for widespread use. In this way, instructors now have access to this technology and use it to create online courses that are more engaging and effective than ever before. In this article, we’ve covered some of the ways you can use AI in online learning, as well as some of the limitations you need to keep in mind to get the most out of it.

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