E-Learning and AI: The Direction of Future Education

As the world continues to go digital, all existing industries are also undergoing significant changes.

Amid all these changes, the E-Learning industry is no exception. Unlike in the past, the newest E-Learning platform has evolved in a variety of ways. With the rise of Artificial Intelligence, E-Learning has gradually begun to adopt advanced technologies. Business owners in the education sector are aware of the impact of AI on E-Learning to gain competitiveness and provide the best learning experience for learners. On this page, we will preview the direction of future education with AI.

What is E-Learning?

To get started, let’s establish an E-Learning definition. E-Learning is electronic learning or online learning that delivers learning and training through digital resources. Although E-Learning is based on formalized learning, it’s provided through electronic devices such as computers, tablets, and even mobile phones. It makes it easy for learners to learn anytime, anywhere. In terms of business, organizations use it to train their employees, partners and customer to adopt, retention and improve performance. Without any more cumbersome curriculum, high-quality education can lead users in the direction they want.

Artificial Intelligence in E-Learning market overview

Artificial Intelligence has been drastically changing the E-Learning industry for many years.

1. AI Adoption in E-Learning: About 50% of global companies are using AI to E-Learning programs.

2. Global Trends: According to the 2023 Global Learning Technology Report, 45% of companies have introduced E-Learning solutions using AI.

3. Industry-specific Data: In the technology industry, the adoption rate of AI-based E-Learning reaches 60%, and in the financial services industry, about 55% of companies use AI-based E-Learning.

The effects of the AI based education market are expected to be significant. According to reports, the AI-powered education market is expected to reach around $32.3 billion by 2030, up from around $18.2 billion in 2021, which is equivalent to a 36% annual average growth rate (CAGR).

The growth is being driven by a variety of factors. For example, the digitalization of education and tech advances are driving innovative changes across the industry. During the pandemic, the surge in demand for untact learning solutions has accelerated the introduction of AI-driven training tools. Solutions such as chatbots and virtual tutors provide real-time support and personalized learning experiences for students and teachers. In conclusion, the education market using AI is expected to show great growth in the next few years. It will play an important role in innovating educational methods and improving learning outcomes.

AI Use Cases For E-Learning

We looked at How E-Learning is using AI earlier. So exactly what AI use cases are used in E-Learning? Here are some of the most useful cases.

Intelligent Tutoring

Intelligent Tutoring Systems (ITS) are advanced computer-based education systems designed to provide personalized learning and feedback. It uses AI tech to mimic human teacher behavior and provide a customized learning experience tailored to the needs and progress of individual learners. ITS can help break down complex concepts and guide learners step-by-step through questions they have trouble with. As the learners master concepts, the AI tools adjust the course content to keep them challenging.

Chatbots

Chatbots are computer programs that users can communicate manly through text or voice. Chatbots use AI tech, especially natural language processing (NLP), to understand user’s questions or commands and provide appropriate responses. From banking to retail, the use of chatbots has become so widespread that it is almost possible to imagine a world without chatbots. In E-Learning, chatbots are one of the most frequent cases of AI use. Students can ask questions to chatbots or receive educational resources 24/7. It soon performs the same role as a personal teaching assistant.

Faceswap

Faceswap offers the function to accurately recognize and change the target’s face. This applies the faces of past characters to create more realistic educational videos. Unlike boring repeated videos, E-Learning using faceswap helps to increase concentration and participation. Genbler’s faceswap can make more sophisticated videos than other websites, which shows excellent outputs in building efficient teaching methods in E-Learning.

Genbler’s technologies help learners vividly experience valuable moments in history. For instance, applying the faces of historical figures to a video can make students feel immersed, as if they are talking directly to the characters. It contributes to improving the quality of education and maximizing the learning effect. In addition, these techs make educational content on various topics more interesting.

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Concerns about AI in E-Learning

E-Learning using AI comes with many advantages; personalization, improved efficiency, etc.

So, there is not a concern?

Bias and fairness

AI algorithms can generate biased results based on trained data. For example, AI learning data that reflects biases against a particular group may result in unfavorable outcomes for students in that group. This can undermine the fairness of educational opportunities.

Technological dependence

Depending on AI technological excessively disrupts flexibility of educational environment. Technical error or system down can disrupt educational activities, which can cause inconvenience to learners.

AI to replace humans

Another concern is that AI is likely to replace teachers. While AI-powered assessment tools can save time and resources, students can also lack the sensitivity and empathy of a human teacher, resulting in a less personalized learning experience.

Data security and privacy

AI systems collect and analyze students’ personal data to provide a customized learning experience. However, such data can be exposed to the risk of hacking or misuse. Data leakage can expose private information, which can lead to serious security issues.

Conclusion

E-Learning using AI provides diverse advantages in the education industry, but we must consider concerns. To solve these problems, it is necessary not only to develop tech, but also ethical guidelines, strengthen data security and fair algorithms. Therefore, Genbler, a front-runner of tech reformation, will do its best in this development and strive to expand and apply new AI in E-Learning. Genbler’s approach opens up new possibilities for E-Learning and directs future education. These advances are beneficial to both educators and learners and play an important part in serving a more effective educational environment.