Big data has led to some major changes in the field of education. We have covered some of these trends in the past, but new changes are still emerging each year.
You should pay close attention to developments in big data in academia. Keep reading to learn more.
How is Big Data Affecting the State of Education?
The e-Learning industry is currently undergoing a revolution due to recent technological breakthroughs. E-learning began in the early 1990s as a means to enhance face-to-face teaching. Over the years, it has evolved into a new approach toward learning and development that outshines the methods it was supposed to promote.
While numerous businesses were affected by COVID-19, the eLearning industry grew significantly and demonstrated significant promise for technological advancement. Big data has been especially influential in the field of education. Experts anticipate the the market for big data in education will be worth nearly $48 billion by 2027.
The world is in awe of the potential of online learning. Organizations, educational institutions, and non-profit groups are now adopting online learning, usually delivered via a learning management system, or LMS.
With the growing interest in online education among the worldwide economic community, eLearning trends have shifted, resulting in significant technological advancements in the industry. Academic institutions are going to have to rely more on big data than ever.
In this piece, we will look at the top eLearning trends driven by big data that are taking hold in 2022, which will be the most useful in implementing eLearning programs across enterprises without taking a break from your learning and development process.
1. AI (Artificial Intelligence)
Artificial intelligence is one of the hottest e-learning trends. For better or worse, it is changing the state of education forever. The use of AI in online learning is becoming increasingly crucial, as it has demonstrated noteworthy potential in personalizing e-learning.
Learners’ competencies, weaknesses, preferences, and expertise are collected and analyzed using AI from LMS platforms. Learning platforms that use AI to make intelligent recommendations also help students absorb and gain knowledge more effectively.
Corporations and large educational institutions are utilizing artificial intelligence to create voice-enabled bots to make content searching easier. It will help the learners find the courses they want and enhance their learning experience.
2. Immersive Technologies.
Immersive technologies, like Artificial Intelligence (AI), have the potential to transform the e-learning landscape. They include Augmented Reality (AR), Virtual Reality (VR), and Extended Reality (ER).
Augmented reality (AR) is the most widely used immersive technology in e-Learning. This technology uses captivating pictures and graphics to supplement existing training materials.
Virtual reality incorporates 360-degree images, real-time interactions, and other intriguing components. These elements work together to bridge the gap between theory and practical application.
These innovations are still in their infancy, but the results they provide are impressive.
3. The Metaverse
The emergence of the metaverse opens up a whole new realm of possibilities for learning and development. Virtual reality is already one of the most popular eLearning innovations. An article published in ED Tech Magazine last month discussed some of these developments.
Technological breakthroughs in big data allow learners and instructors to communicate as lifelike avatars in a digital realm. Employees can access the learning area via VR headsets, smartphones, or PCs from anywhere in the world and benefit from group learning.
The metaverse also provides the kind of hands-on interaction that helps learners retain what they’ve learned.
4. Microlearning
Microlearning is a way of delivering bite-sized content to learners in order to encourage rapid knowledge consumption and retention. Small learning nuggets (2–7 minutes) generally replace long, text-heavy content in this form of learning.
As the flow of information has significantly increased, the average learner’s attention span is getting shorter. An employee has an average of 24 minutes a week to devote to professional growth. This innovative learning method has proven to be incredibly beneficial in L&D in combating the problem of short attention span and information retention.
5. Video-Based Learning
Static e-learning content is being challenged by video-based learning. Videos have recently become an important feature of online courses and will continue to be a focus of e-Learning.
Demos, tutorials, discussions, and how-tos in video format are preferred by today’s learners above plain text instructions.
There are numerous reasons to assume that video is the way of the future in education. For starters, videos are more aesthetically appealing, dynamic, and entertaining than text. These factors contribute to video content retaining the learner’s attention for longer than other types of learning. Even better, it encourages rapid information dissemination, improves content consumption, and boosts retention rates.
The widespread use of interactive videos, in particular, is causing waves in the e-Learning sector. The most effective thing about such videos is that they break the passiveness of conventional videos.
6. Adaptive Learning
Donald Taylor conducted the L&D Global Sentiment Survey in 2017. Adaptive learning emerged as the most popular L & D trend, knocking out AR & VR, Microlearning, and social learning.
Personalized learning is emphasized in this form of e-learning. In this type of learning, learners can learn at their own speed and leisure.
It uses powerful analytics, confidence-based evaluations, and pre-learning tests to assist businesses in avoiding the pitfalls of generic learning.
Adaptive learning, now being merged with artificial intelligence, is predicted to reach new heights in 2022. Learners are able to pick and select the learning paths they want to take based on their training requirements. It allows the learner to enjoy the process and get the most out of it. Organizations, on the other hand, can actively utilize resources to achieve optimal training ROI.
7. Mobile Learning
Mobile learning is becoming a part of many companies’ learning and development strategies. It allows learners to consume content whenever and wherever they wish.
The advantages of mobile learning, such as flexibility and adaptability, will ensure that this e-learning trend holds for many years.
E-learning will progress from mobile-friendly to mobile-first. The process of creating learning material for desktops and then customizing it for smartphones will be reversed so that a high-quality mobile experience is achieved.
It is especially significant because, as a result of the pandemic, more and more people are resorting to working and learning from home.
Big Data is Changing the Future of Education
With the widespread adoption of Learning Management Systems, education has become inextricably linked to big data technology, both now and in the future. Big data is going to be even more important to the future of education as new technological breakthroughs emerge.
Trends come and go, but the e-learning trends that we have mentioned above aren’t going away anytime soon. While we can’t predict exactly where e-learning will go in the future, these trends give us a good idea of where the sector will go in the following years. With online learning management systems, learning will be more interactive, mobile, customized, goal-oriented, and flexible in the near future.
The post Top 7 Data-Driven E-Learning Trends Changing the Face Of Education appeared first on SmartData Collective.
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