M-Learning Trends – The 5 Most Important Trends That Matter in 2019
Top M-Learning Trends to Watch Out For:
M-Learning adoption is growing steadily across the globe in the last few years. With newer technologies and devices, the approach and mode of eLearning adoption are changing rapidly, too.
Let’s look at these 5 M-Learning trends that will become stronger in 2019.
1. Adaptive Learning
Adaptive learning is an educational method which uses computer algorithms to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner.
Learner information/profile, behaviours, and performance benchmarks that can be used to adapt a learning experience, e.g.
- Performance – How has the learner done across a series of tasks/lessons?
- Behaviours – How long did the learner take to complete the task?
- Information – Learners can share how confident they feel in material, content type preferences, or personal data to alter what happens next.
The ways the lesson can adapt based on the learner’s performance.
- Real-time Feedback – Offer appropriate help when it is needed most, e.g. hints based on a shown misconception (as if learners are being guided by a tutor looking over their shoulder).
- Differentiated Pathways – Offer varying sequences of content to each learner, e.g. provide extra help to a learner for a particular concept before continuing to the next topic, fast-track advanced learners, or allow learners to decide what they’ll learn next.
Microlearning deals with relatively small learning units and short-term learning activities. Therefore, a Micro-Learning App would typically display content specifically designed for shorter attention spans & quick learning.
An approach for skills-based education, microlearning typically offer smaller learning units. Hence, a micro learning system would be strategically designed to achieve short-term goals in learning/education/skills.
Microlearning is more viable and effective compared to other forms of learning. Other forms of training often happen outside of learners’ day-to-day contexts, or are longer, making it more difficult to apply knowledge to specific on-the-job objectives. Microlearning lets learners select and use assets most applicable to their current needs on whatever device is most handy, making the training even more relevant to their work. In other words, Microlearning enables the learner to choose and learn modules that are useful to their area of work/learning accessible through any device. This learner-driven nature of microlearning increases engagement improves training and job efficiency and builds learner interest in seeking out additional training opportunities.
3. Artificial Intelligence
M-learning equipped with intelligence can recognize learners’ understanding of a concept automatically, and then suggest different paths of learning depending on the current level of mastery.
This will enable different learners to master content at their own pace and will ensure that all learners in a given class or community are successful.
M-learning technology equipped with new models of artificial intelligence, however, addresses points of confusion as soon as they arise. Artificial intelligence can act as a virtual tutor and answer questions on the fly. AI enables tutors to understand the questions asked across forums and provide easier clarification to all learners.
The gamification of learning is an educational approach to motivate learners to learn by using video game design and game elements in learning environments. The goal is to maximize enjoyment and engagement by capturing the interest of learners and inspiring them to continue learning.
Gamification, broadly defined, is the process of defining the elements which comprise games that make those games fun and motivate players to continue playing, and using those same elements in a non-game context to influence behaviour. In other words, gamification is the introduction of game elements in a non-game situation.
AR-technology is a real boon for the educational process. The main task of augmented reality is to “enrich” real objects with other capabilities and characteristics. To date, there are a huge number of AR-applications that interact with the printed text. For example, augmented reality applications for language learning are presented in the form of the game Put a Spell. This program was developed by Ogmento specifically for the iPhone, as well as Google Goggles or Word Lens. It allows scanning various inscriptions in a foreign language and immediately suggests the translation. And this is not a single way of AR application, as it can be used in other realms too.
VR assists in acquiring bits of knowledge through experience and hence bridges the gap between theory and practice. One of the most beneficial features of virtual reality is its ability to cut distraction. By blocking visual and auditory distraction factors, VR can help deeply connect with the material. Subsequently, it will increase interest. VR can generate astonishing experiences that you may not explore in real life. Reduce distraction plus increases interest results in excellent team engagement.