eLearning Trends

Find here the latest news and trends in eLearning. Read articles about the future of the learning industry with forecasts, written from our e-learning experts

January 26, 2016

Top 6 eLearning Trends For 2016

Want to know what lies ahead for the world of eLearning in 2016? In this article, I'll forecast the 6 top trends for the coming year, so that you can keep up to date with the latest and greatest in eLearning. So, get ready to welcome the New Year by integrating some of these modern tools, technologies, and ideologies into your eLearning strategy.
by Christopher Pappas
January 20, 2016

What Is The Role Of Big Data In eLearning?

I’m not sure everyone will agree with me, but I have this theory about our eLearning industry. My, entirely personal, view based on the completely unscientific sample of what I have seen and heard over the years is that we take to new technology just that shade suspiciously. Once the initial acceptance is in place, though we go about adopting it quite enthusiastically. A glance at the adoption curve of mLearning will probably substantiate what I mean. There is another technology trend that has been sweeping the world for a few years now but has only just started appearing more commonly in eLearning – Big Data.
by Anand Timothy
January 12, 2016

The 4 Hottest eLearning Trends For 2016

With 2016 upon us, we now have a firm footing into the 21st century. Although we’re not quite at the Johnny Five stage yet (the robot demonstrated the ability to scan and instantly assimilate information in the 1986 movie, Short Circuit), technology is starting to revolutionize the learning landscape. In this article I will share the 4 hottest eLearning trends for 2016.
by Ruby Spencer, CTDP
January 9, 2016

A Sneak Peek Inside The 2016 Learning And Development Community

It’s that time of year again! Learning and Development leaders are reflecting on what went well and what didn’t go so well to create a more effective plan for the coming year. With L&D adapting to continuous technology advances, leaders in the space need to have a good understanding of where the industry is going.
by Andrew Fayad
December 27, 2015

Artificial Intelligence In Sparky Prose

This impassioned fourth geek article, which is actually rather nerdy, meanders (a)musingly around a (human) writer’s actual paragraph attempts at writing something sagacious on artificial Intelligence (AI), and an alien (non-human-created) AI, who is drawn in by the writer’s maelstrom of contradictory thoughts. The alien AI finds the human writer entertaining and even murmurs something to itself as it flits away.
by Chris Alexander
December 21, 2015

Stop With “The Future Of Learning” Already

I see articles every week that have “the future of learning” in them. It may be gamification, micro-learning, social learning, device agnostic content, learning paths, etc. I believe that none of these are the future of learning, because within an organizational context, there are really three different goals we are trying to achieve - often simultaneously.
by Bill Bruck, Ph.D.
December 3, 2015

Video-Based Learning – The New Pitch and Resolution of Learning

The demand for video-based learning has surreptitiously witnessed an upward spiral in the recent times. Short, crisp, engaging, and elucidating video nuggets on various subjects are scaling across YouTube and other video social blogging and learning platforms. While it may sound more like a means of informal learning, video-based learning may soon become the most sought after phenomenon across the corporate and academic learning ambiance, specifically after the advent and rise in the use of smartphones in the education domain. This article explores the phenomena of video-based learning from the instructional design perspective and elucidates our nascent experience with this novel phenomenon in the academic domain.
by Sharjeel Ahmad
February 23, 2015

The Rise Of Personalized Learning

In the last couple of years a new trend named "Big Data" has become very popular. A large number of start-ups specialize in collection and analysis of huge amounts of data. Large corporations are also not far behind, currently working to establish new departments and teams in order to develop products of this kind. It’s important to understand that the intention is not just to collect large amounts of data, but also to handle it effectively.
by Michael Treser