At this time of the year, you look out for trends that can enhance your training delivery. In this article, I share the eLearning Trends in 2019 you can use to enhance, measure, and maximize the impact and returns on your learning strategies.
As I began my exercise to predict eLearning Trends in 2019, the fourth one in this series, I took a step back to see why anyone seeks upcoming trends.
The top 5 reasons why L&D teams look at trends are listed here. They prompt them to adopt new or better approaches that:
In this article, I take this need as the thread to share the eLearning Trends in 2019. I have grouped them as follows:
With this approach, I am confident that the featured eLearning Trends in 2019 in this article will offer tremendous value in enhancing your learning strategies in the new year.
Upcoming Release: I also have a Free eBook on eLearning Trends in 2019 releasing on Jan 15th.
Without further ado, here is my list of eLearning Trends in 2019 banded logically to facilitate their impact and application.
Over the last 4–5 years, the adoption of Mobile Learning has been on the rise. This is on account of the flexibility it provides to learners (learning on the go, multi-device support – including smartphones, tablets or laptops/desktops, and anytime and anywhere access).
From an organization’s perspective, this is clearly an approach that resonates better with learners, offers higher engagement, provides better completion rates, and can be used to support both formal and informal trainings.
What I see changing in 2019 is the maturing of Mobile Learning solutions, leading to a bifurcation into mobile friendly or adaptive designs and mobile first or fully responsive designs. The latter will align better to the way learning is expected to be consumed (notably on smartphones) and will feature learning interactions optimized for them.
Additionally, Mobile Learning will be used to offer almost the entire spectrum of corporate training needs. It will feature high-impact formats including videos, microlearning, and apps for learning.
While the ILT mode is not dying, it will soon start getting limited to niche programs. 2019 will see further increase in the Digitalization of ILT (to blended or fully online). Even the core ILT delivery will get supported by online resources including pre- and post-workshop material and assessments.
The triggers include push from learners to reduced training budgets and shorter cycles to train employees.
My assessment is that in 2019, we will see a higher percentage of programs going to the fully online format that can be consumed on the device of the learner’s choice (ranging from smartphones/tablets to laptops/desktops).
Performance support tools or PSTs are learning aids or job aids that are designed to address a specific learning need.
They are available to the learners within their workflow and hence can be easily accessed and used without having to log on to an LMS.
Designed to support formal training (focusing on knowledge acquisition), PSTs can facilitate learning application thereby improving the training impact and learner proficiency. They can be used to support ILT as well as online training, and they effectively serve as a measure to offset the “forgetting curve.”
2019 will see further adoption of PSTs riding high on the increase in mobile learning, microlearning, and video-based learning.
The fact that learning happens through multiple channels (and not just formal training) is an established one.
Many of us may be familiar with the 70-20-10 model for Learning and Development. According to this model,
While we may debate on the percentages shown here, the model does affirm the need of organizations to create a support system and the opportunities to promote informal learning in their workplace.
The usage of measures like performance support tools or PSTs as well as platforms to promote social learning will see significant increase in 2019.
In our early years, our learning is purely from others and it shouldn’t come as a surprise that this is true for learning at the workplace too. Over the last 3–5 years, L&D teams have seen value in adopting and promoting social learning.
With the options of platforms, next gen LMS, and learning experience platforms, social learning is finally poised for growth in 2019.
In general terms, self-directed learning is the approach of moving the onus of learning to the learner rather than the teacher. As an extension, in the context of corporate training, it maps to empowering learners to choose how they want to learn.
Unlike training programs that are “pushed” through LMS, self-directed learning is all about giving this control to the learners. They can decide on what they want to learn, how they wish to learn, when they choose to learn, over what time frame would they want to learn and so on.
As you will note, this approach provides control to the learners and gives them the option to decide their learning path. Alongside social learning and informal learning, organizations are recognizing the value of promoting self-directed learning that can help them create learning as a continuum. This trend will continue in 2019.
The debate on the value and impact of macrolearning (or traditional eLearning) and microlearning (bite-sized, short learning nuggets of 2–7 mins run length each designed to meet a specific outcome) goes on.
However, the fact is that the usage of microlearning-based training has revolutionized training delivery over the last 2 years, and I see this trend accelerating further in 2019.
Today, you can opt for microlearning-based training to offer formal training and informal training and support ILT. Its flexibility to be delivered as a single, short nugget to meet a specific outcome to a learning path that can have an array of learning nuggets makes it a powerful choice for corporate training. I see an increased adoption of microlearning in 2019.
Till a few years ago, the impact of gamification-based training had a big question mark associated with it. While gamification provides fun-based learning to users, does it indeed help them achieve a specific learning outcome?
The usage of gamification for serious learning has been on the upswing in the last 2 years, and I see this trend increasing in 2019.
The application of gamification, including the game-based approach, or partial gamification will see an increased application across various corporate training needs. With the reduction in development costs and shorter time frame to develop, L&D teams will see higher value in this investment in 2019.
Video-based learning is fast becoming a standard piece of online training. This includes its usage in traditional eLearning formats to its extensive usage in the microlearning-based trainings.
In 2019, I see this trend continuing. Equally interesting is the wider adoption of interactive videos that overcome the passivity of traditional videos and increase learner engagement manifold through interactivities and assessments.
Another usage of video-based learning in 2019 will be through the curation of public domain videos.
The widespread adoption of mobile learning and its updated avatar of mobile first or responsive design leads to an important fact that the learning experiences on smartphones must be optimized to the devices. The interactions must mimic the way we use these devices.
On similar lines, similar to Apps that learners use, mobile apps for learning can provide a very effective strategy for online training. The training can be personalized and updated with ease.
The cost and longer lead time to develop mobile apps for learning have led to its limited adoption. I see this as a very powerful approach; I see it play a significant role in training formats.
Today’s learners do not have the patience or the attention span to go through learning that is generic and doesn’t map to what they are looking for.
This is where personalization of learning fits in and provides a custom learning path to learners. You can personalize learning based on the learner’s role, proficiency, area of interest and so on.
The Microlearning-based training approach provides the required granularity to draw up highly personalized learning paths for various learner profiles. Rendered over mobile devices, this approach can provide a highly relevant and personalized learning path to each learner.
This trend is worth a watch in 2019 wherein we will also see the usage of machine learning and AI to create more meaningful learning experiences.
While we may be spoilt for choice on data and information that is easily accessible on the Internet, tagging it and identifying the relevant info is a time-consuming process.
Content curation addresses these pain areas and provides relevant learning resources to users. Learners have the flexibility to opt for the recommended learning path or configure their own version.
Furthermore, the exercise also promotes user participation by encouraging user-generated content to keep the knowledge base current and relevant.
This is not all. Content curation enables organizations to tap into resources that are available in the public domain, and they do not need to re-create them.
This trend has been on an upswing, and I see a similar traction in 2019. This too will benefit from emerging techniques like AI for learning, machine learning and so on, to create even more relevant learning paths to the users.
Learning Engagement Platforms (LXP) provide a highly personalized learning experience to users through learning pathways. Besides this, they feature social or collaborative learning, inclusive learning, content curation and facilitation of user-generated content.
In contrast to LMS, the LXPs empower learners to define their learning path from a set of learning assets featuring varied formats. Besides facilitating self-directed learning, they encourage learner participation through user-generated content.
They feature social learning and offer recognition to active participants. They do feature assessments along with badges and certification.
They are fun, more engaging, and relevant for learners, and they will help learners meet specific learning outcomes.
In the short term, including in 2019, they will co-exist with LMS. Many existing LMS players are already offering the LXP option as an add-on. Then, there are new participants that offer AI-based recommendations and aspects like “career pathways” that resonate very well with the learners.
2019 will continue to see the usage of learner analytics to review learner behavior and what additional measures can be adopted to increase engagement, motivation, and facilitate the application of acquired learning.
A wider adoption of Tin Can API will provide the relevant cues in this endeavor. Furthermore, the usage of Artificial Inteligence (AI) in learning will further facilitate the usage of this analytics to create more relevant and personalized learning experiences.
I see this trend seeing further traction in 2019, resulting in learning designs that appeal to learners and create the required value and ROI that businesses seek.
Big Data refers to voluminous data that is aggregated from various sources (typically, LMS, LCMS, learning portals, and surveys/polling or assessments in the context of eLearning). Given its volume, complexity, and the fact that it is dynamic, there is no tool that can manage and analyze it.
Big Data-reporting and analytics refers to the methodology to present the data in formats that are actionable. When processed right, this can give us tremendous insights on how learners learn, the impact of training on skills or behavioral change, and the impact on business and eventually ROI determination.
I see an increase in Big Data-reporting and analytics in 2019, leading to further optimization of the training delivery. This analysis can be used to understand learner behavior, the way they want to learn, the learning paths chosen, and how to update the existing training delivery. These cues can then be used to create personalized and more effective learning paths that enable learners to learn, practice, obtain feedback and remediation, and so on.
L&D Teams’ hunt to evaluate immersive learning strategies is an on-going endeavor. Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) are acknowledged as superb approaches to provide highly immersive learning experiences for a few years now.
High price and substantial lead time to develop them have been two factors that have limited their wider usage. Also, the use cases that justify the investment and ROI are limited.
With main authoring tool providers like Adobe and Trivantis getting into VR solutions, the price points have dropped. Their design approach also makes it easier to author these learning experiences in a short time. I see further traction on VR solutions in 2019 as these solutions become more affordable and can be offered to supplement the formal training.
In my opinion, 2019 will see a wider adoption of AR-based training, including mobile apps that embed VR features. The use cases will expand to include soft skills training as well as learning to trigger behavioral change.
The usage of Artificial Intelligence (AI) in learning is one trend in 2019 that you should watch out for.
AI can facilitate the creation of highly customized learning paths by analyzing the data it collects. This data can then be used to understand the learner’s interest, proficiency, and recommend further learning assets that they may not be aware of. Potentially, personalized learning will not only engage the learner better but also help L&D teams gain the impact they seek.
I hope this article helps demystify the value and impact of each eLearning trend I have listed and provides the context of why you should use them.
If you have any queries or need any specific support, do contact me at firstname.lastname@example.org.
Do watch out for my Free eBook eLearning Trends In 2019 – Your guide to enhance, measure, maximize the impact and returns on your learning strategies in 2019.
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