Editor’s note: The focus for this piece is digital marketing but can be swapped out for learning too. The message here is to focus on what digital learning looks like in its entirety rather than buying off the shelf solutions to deliver a digital experience (thankyou to Meg Peppin for sharing).
Editor’s note: Data from Spotify shows that podcasts are popular throughout the day, not just the commute to and from work. More reason to add podcasts as a learning channel?
Editor’s note: The context for this data is not available so you don’t get to see what types of video/content is leading to this this viewing behaviour. However, in our quantative data terms this does provide a picture of the preferred length for an engaging video.
Editor’s note: Research shows that providing a counter-argument, rather than saying information is wrong, is the more effective way to get people to change their minds. Application potential in learning?
Editor’s note: Some great examples here of how learning is being disrupted by chat bots in mixed reality. Amazing stuff and it is happening now.
This data is US-focused but if the UK is similar then organisations need to look at a future, older working population that is also more generationally diverse. These trends will have important implications for learning and talent development.
The Top 200 Tools for Learning 2017 (11th Annual Survey) has been compiled by Jane…
In the new report, “The 2017 State of Digital Transformation,” we surveyed more than 500…
Editor’s note: Will the ability to create and share videos in LinkedIn just add to the showboating noise of the platform? Or will it see the creation and sharing of genuinely useful content? Time will tell . . .
Editor’s note: How design thinking was used to rethink compliance training in an Australian bank. Great tips and insights here.
Editor’s note: Interesting piece debunking the notion that we have very short attention spans (due to the rise of technology). This piece explores attention as well as debunks myths around it.
Editor’s note: How good is algorithmic, personalised learning really? It might be stopping us from reading more widely . . .
Editor’s note: Columbia Journalism School’s Tow Center for Digital Journalism has produced a timeline of developments at major platforms such as Google, Facebook, Instagram, Snapchat and so on. It goes back to 2000. This is a good resource for keeping tabs on how what these major platforms are developing.
Editor’s note: Repeat something enough times and we tend to think it is right. Why? Because of ‘cognitive ease’. Great video on truth or what we create as truth.
Editor’s note: VR is transforming lesson time for children in the US. Could this be the future of classroom-based training in the workplace? Clearly there will be some use cases for technical skills.