What's New in eLearning? Major Trends and Predictions for 2021/22

eLearning has been developing at a steady pace for the last 20 years. Today, it supports education at all levels globally. eLearning enables flexible and convenient training delivery. The sector is in a constant search of new ways to engage students and create a rich learning environment. This is the reason why it experiences never-ending transformations. Here are the top 10 trends that will shape eLearning in the nearest future.

1. Adaptive Learning

eLearning focuses on the delivery of an adaptive learning experience. It means that students get personalized programs, feedback, and resources. Incorporating adaptive training, eLearning acquires a student-centered approach. It aims to accommodate the needs of each student, providing the best possible learning experience. With adaptive eLearning, students:

  • spend their learning sessions efficiently;

  • shift the focus of lessons if needed;

  • build confidence in their knowledge;

  • get personalized learning programs;

  • produce faster results;

  • study at their own pace.

2. Microlearning

eLearning promotes the idea of learning information in small meaningful chunks. It allows moving to a learning objective one step at a time. For example, instead of reading lengthy chapters for history lessons, students can watch short animated videos on YouTube. Bite-sized pieces of information usually form courses where they are structured and organized around larger topics.

Microlearning is time-effective and flexible. It supports fast results and better knowledge retention in eLearning. This trend also inspires students to take charge of their learning progress.

3. Content Curation

The internet provides unlimited access to information and multiple research opportunities. Yet, finding relevant information in such a large pool can be overwhelming. Content curation becomes crucial for eLearning. It allows searching and organizing content to fulfill a certain learning objective.

Content curation saves hours. Instead of searching for pieces of information in multiple books and journal articles, a student can find relevant insights immediately. This trend also supports multi-device learning. It makes all kinds of resources accessible from any device and at any time. With content curation, eLearning materials also get timely updates. This gives them a significant advantage over traditional textbooks that might become outdated by the time they are published.

4. Artificial Intelligence (AI)

AI also supports the focus on personalization in eLearning. AI tutors and chatbots help students with online training 24/7. For example, chatbots can answer frequently asked questions. Therefore, they perform some duties instead of human teachers, saving them time for more complex or creative tasks.

Besides, AI tutors can analyze the learning behavior of a student. The results of such analysis help to optimize classes according to one's educational needs. AI can guide learners through the course, suggesting learning activities based on actual performance. Naturally, learning remains social and human-centric. The role of technologies is to increase the efficiency of the process, making routine tasks automated.

5. Augmented (AR) and Virtual Reality (VR)

Immersive learning with AR and VR flourishes in education. eLearning is not an exception. Visualizing and experiencing the content of lessons enables better understanding and knowledge retention. It is much more effective than reading or listening because it enables meaningful interaction with learning materials.

Learning by doing, empowered by AR and VR, helps a learner to practice even without expensive equipment. Simulated situations allow students to exercise their decision-making in a safe environment. What is even more important, AR and VR can awaken students' interest and boost engagement.

6. Data-Driven Learning

eLearning is changing continuously. The influence of technology, new learning habits, and industry requirements are only some of the factors that call for transformation in online education. Yet, effective changes are impossible without qualitative and quantitative data. It allows tailoring eLearning to the specific needs of each student.