Is it really a choice? I don’t think so. How you adopt technology in education? Well, that’s quite another thing…
Category: #FELTAG
Open Badges seem so simple, don’t they?
But wait – don’t make assumptions – ask questions! They’ve got stuff inside. Data. Authenticated data.
But the big news? – you can take them with you because they’re built on an open standard. They can be connected together to form a learning pathway. The data structure inside the badge can even be extended for a particular purpose.
Curious? There’s loads more information (and pictures) here: OB101
I’m sure there are many ways to define a learning technologist, but I liked this thought originating from a comment by Stephan at #efair2015…
Categories
The Badge Cycle
This is a generic version of the badge cycle visual thought I created for the BBC. In it I’m trying to bring to life the process of earning and issuing badges. It was included as part of the FELTAG report.
Categories
edTech innovation
I’ve got a few tech products off the ground in my time, and I’m still not sure how it happens. I did this thinking for the FELTAG report, looking at how the customer, the builders and the backers all need to play their part in the innovation.
Categories
Qualification Sweet Spot
One thing I’ve learnt from being part of City & Guilds, is that it’s not easy getting a public funded qualification off the ground. So where’s the sweet spot for a qualification? Here’s a thought from Patrick Craven, Director of Assessment and Policy at City & Guilds. This ended up being part of the FELTAG report.
This comment came from one of the first prep meetings for The Big Think – the kickoff of the Think Out Loud Club. It was a question asked by Bob Harrison who at the time was in the thick of the FELTAG report process.
Categories
What makes good evidence?
I’ve learnt a lot about what makes good evidence from talking with people at City & Guilds (who are a knowledgeable lot). This drawing came out of a conversation with Patrick Craven, head of assessment.I’ve learnt a lot about what makes good evidence from talking with people at City & Guilds (who are a knowledgeable lot). This drawing came out of a conversation with Patrick Craven, head of assessment.
I met Deb Millar at BETT who told me all about the super Digipals programme she had set up at Blackburn College – so I tried to capture some of the essence in a drawing.
What if Amazon did learning? Or at least the Amazon prediction engine. Might a system be able to suggest items of learning based on what others did at a similar point? This thought was picked up later for the FELTAG report.