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Polina Ionina

Community Manager

iSpring Solutions

6 E-learning trends you can't

ignore in 2019

Trend #1. AR & VR are on the rise

Augmented reality and virtual reality have been

buzzwords for a couple of years now and have

finally made their way to learning and


Imagine you're in charge of training people who

do insurance inspections after a fire or other

disaster. With AR or VR technology, you can

take a real house and overlay it with smoke

damage. The investigator goes in and learns

how to identify and mark it. Then you can

change the task from one caused by smoke

and fire, to damage from a collapsed roof or a

flood. All just like magic, without the need to

change the physical house.

"I see enormous potential for augmented reality.

Everybody is kind of in love with VR, and it's very

sexy and very cool, but I think there is a lot of

practical application now for augmented reality."

Jane Bozarth, Director of Research, The

eLearning Guild

AR offers better accessibility as users need only

their smartphones, which most of them already

have. As for VR, the biggest issue is the need to

wear a headset, which can be a problem for two

reasons: the price and the limitation it puts on

users' mobility.

"If you have lots of teams going after 'We want

to do the next greatest things with virtual reality,'

that's fine. But you might spend your entire

learning budget or time doing it, which is

problematic. So maybe it is a question of

playing with it to see what is possible, but wait

for it to come to you rather than for you to rush

towards it. Maybe it is the best way to

overcome this obstacle of huge time or


Richard Goring, Director, BrightCarbon

Trend #2. AI is becoming normal

Businesses have already started adopting AI.

It's only a matter of time before those

algorithms will be extended to e-learning.

Similarly, to online shopping (if you buy this

item you might like these items), AI can

improve the learning experience (If you took

this course, the following courses may also be

useful). Or if an algorithm detects that people

seem to struggle in a certain area of a test,

then instructional designers can fortify the

learning content on that topic.



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