How Will AI Transform Online Education?

Technology is drastically changing the e-learning industry, as evidenced by its growing market size. The global e-learning industry is expected to grow at a CAGR of roughly 17.53% between 2022-2030, reaching USD 848.1 billion by 2030.

Did you know that 83% of companies globally have switched to online learning in corporate sectors? It is a big transformation, which shows the demand for flexible learning solutions in today’s digital era. Artificial intelligence (AI is one of the major factors responsible for this transformation. AI in online education offers various opportunities to both students and educators to make learning sessions more effective.

The far-reaching impact of AI in education can be very well understood with the help of statistics available online. Valued at USD 4 billion in 2022, artificial intelligence in online learning is expected to grow by almost 10% between 2023 and 2032 due to growing preferences for personalized learning.

From data-driven insights, adaptive learning algorithms, and intelligent tutoring systems, AI’s capabilities boost learning experiences and outcomes. This article explores AI’s contributions to the field of education, particularly in the e-learning sector.

How AI in Online Education Makes a Difference?

1.   Adaptive Learning

Personalized learning experience is one of the revolutionary aspects of artificial intelligence in online learning. Personalized or adaptive learning holds promise for students and educators in making the learning sessions interactive and effective.

Every person is unique, so their learning capabilities will also differ. Not all students learn at the same pace. In the traditional classroom learning approach, teachers often struggle to handle and resolve their students’ diverse needs. AI in the education sector has worked like magic.

AI precisely understands learners’ needs by analyzing their interests, preferences, capabilities, and habits in real-time. This is possible due to adaptive learning algorithms that predict student responses and adjust their study schedules accordingly. Personalized learning environments open the path to optimal success.

Such adaptive learning platforms work with advanced and complex algorithms that create individual review schedules adapted to the learner’s strengths, weaknesses, and pace to drive the best results. That’s how platforms like Achievable help students prepare for their exams effectively and conveniently, optimizing the time and energy they spend on preparations. The adaptive learning algorithms adjust the difficulty levels of the learning material by tracking students’ performance and progress in real-time to help optimize learning outcomes.

2.   Intelligent Tutoring Systems

Another significant advancement in the eLearning industry is ITS or Intelligent Tutoring Systems. They can potentially revolutionize the way learners learn today. ITSs are software programs that offer students individualized instructions, specific feedback, and one-to-one educational experiences. The four components of the system are knowledge base, student model, pedagogical module, and user interface. With machine learning & natural language processing, ITS interprets and understands students’ queries and offers instant feedback and explanations, allowing them to break down complex concepts for easy learning.

3.   Data-Driven Insights

Artificial Intelligence has the power to analyze and drill down huge volumes of data, which offers valuable insights to educators about student performance and behaviors. Educators also learn how students engage with the content, thereby modifying their teaching methods accordingly. These insights help them develop strategies aligned with their students’ success.

4.   Student Engagement

Success in learning stems from student engagement levels. AI in education courses can greatly drive student engagement. This is possible due to personalized content and interactive environments. Similarly, gamification AI in the online education sector can make sessions more engaging.

AI can also help develop collaborative learning environments where students can easily connect with their colleagues and peers with shared goals and complementary skills. This provides motivation and support for peer-to-peer interaction.

5.   Self-paced Learning

AI in online education allows for greater self-paced learning opportunities. This means students have complete flexibility to learn and upgrade their skills at their own pace and convenience. Students can access courses whenever they choose, for as long as they need, and whenever they have internet connectivity.

It ensures effective learning and success for students. This aspect also makes learning an inclusive ecosystem where school and college students, as well as working professionals, can access courses 24/7 to improve their skill sets.

6.   Continuous Improvement and Innovation

AI in online education is not limited to a static role. As technology continues to evolve, continuous improvement is expected in the eLearning industry. With more data points and advanced algorithms, things are only going to improve in terms of accuracy and effectiveness. Thus, there’s a lot of scope for improvement. Users can expect to improve their performances with advanced technologies and features. For instance, augmented and virtual technologies can further level up online learning experiences through immersive learning.


AI in education offers personalized and engaging learning experiences to students and learners. Through adaptive learning algorithms, data-driven insights, and intelligent tutoring systems, artificial intelligence can spearhead the education industry by allowing students to learn according to their capabilities, availability, and convenience.

Platforms like Achievable use the power of AI in the online education sector to effectively predict student outcomes and adapt study schedules for student success. AI helps foster continuous improvement in content creation and delivery, making eLearning accessible for all learners.