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My takeaways from Stephen Downes’ talk on personal learning

In general, I have great intentions to watch recorded presentations. However, in reality, just like the number of philosophy books I get around to reading in a given year, I can count the number I sit down to watch on the fingers of one hand.

I’ve been meaning to watch Stephen Downes’ talk on personal learning since he gave it at the at the Canada MoodleMoot back in February. Since I’m talking with him this afternoon about Project MoodleNet, that served as a prompt to get around to watching it.

(as an aside, it’s a blessing to be able to play YouTube videos at 1.5 or double speed — presentations, by their nature aren’t as information-dense as text!)

Groups vs Networks

Downes has been talking about groups vs networks since before 2006. In fact, I often reference this:

Groups vs Networks
CC BY-NC Stephen Downes

The presentation builds on this, and references a tool/environment he’s built called gRSShopper.

Groups vs Networks

Downes doesn’t link any of this to politics, but to my mind this is the difference between authoritarianism and left libertarianism. As such, I think it’s a wider thing than just an approach to learning. It’s an approach to society. My experience is that some people want paternalism as it provides a comfort blanket of security.

Personalized vs Personal

There’s plenty of differences between the two approaches. In his discussion of the following slide, Downes talks about the difference between a ‘custom’ car and a customised car, or an off-the-self suit versus one that’s tailored for you.

Personalized vs Personal

My position on all of this is very similar to Downes. However, I don’t think we can dismiss the other view quite so easily. There has to be an element of summative assessment and comparison for society to function — at least the way we currently structure it…

Personal Learning Environments

Downes’ custom-build system, gRSShopper, is built with him (the learner) in the middle. It’s a PLE, a Personal Learning Environment:

gRSShopper workflow

All of this is based on APIs that pull data from various systems, allow him to manipulate it in various ways, and then publish outputs in different formats.

Note that all of this, of course, depends upon open APIs, data, and resources. It’s a future I’d like to see, but depends upon improving the average technical knowledge and skills of a global population. At the same time, centralised data-harvesting services such Facebook are pointing in the opposite direction, and dumbing things down.

Personal Learning Record

So gRSShopper creates what Downes calls a Personal Learning Record, complete with ‘personal graph’ that is private to the learner. This is all very much in keeping with the GDPR.

Data aggregation and analytics

The real value in all of this comes in being able to aggregate learning data from across platforms to provide insights, much as Exist does with your personal and health data.

Analytics and Big Data

Downes made comments about pulling resources and data between systems, about embedding social networks within the PLE, and browser plugins/extensions to make life easier for learners. I particularly liked his mention of not just using OERs as you learn, but creating them through the process of learning.

Conclusion

I’m looking forward to our conversation this afternoon, as I’m hoping it will either validate, or force me to rethink the current approach to Project MoodleNet.


Main image CC0 Marvin Meyer

Change MOOC – #change11

After seeing several MOOCs (Massive Open Online Courses) come and go over the past couple of years, I’ve decided to play a part in a new one being facilitated by Dave Cormier, George Siemens and Stephen Downes.

What’s a MOOC?

Allow Dave Cormier to enlighten you:

[youtube http://www.youtube.com/watch?v=eW3gMGqcZQc?rel=0&w=640&h=390]

What do you have to do?

Pretty much anything you like. To paraphrase from change.mooc.ca

This is an unusual course. It does not consist of a body of content you are supposed to remember. Rather, the learning in the course results from the activities you undertake, and will be different for each person.

This type of course is called a ‘connectivist’ course and is based on four major types of activity:

  1. Aggregate
  2. Remix
  3. Repurpose
  4. Feed Forward

When a connectivist course is working really well, we see this greate cycle of content and creativity begin to feed on itself, people in the course reading, collecting, creating and sharing. It’s a wonderful experience you won’t want to stop when the course is done.

And – because you can share anywhere – you won’t have to. This course can last as long as you want it to.

The schedule consists of people who are pretty much who’s-who in my corner of the digitally-connected world; I’m particularly looking forward to:

  • Week 3 – Martin Weller (Digital Scholarship)
  • Week 9 – Dave Cormier (Rhizomatic Learning)
  • Week 17 – Howard Rheingold ([How] can [using] the web [intelligently] make us smarter?)
  • Week 25 – Stephen Downes (Knowledge, Learning and Community)
  • Week 30 – Alec Couros (Facilitating Networked Learners)
  • Week 33 – George Siemens (Sensemaking, wayfinding, networks, and analytics)
  • Week 34 – Bonnie Stewart (Digital Identities & Subjectivities)

That’s because these are people I know will provide interesting stimulus material and sound guidance. However, I’m also looking forward to being surprised by others!

MOOCs have a structure that allows you to dip in and dip out. This course is running (at least) until 20th May 2012 so there’ll be times when I can pay more or less attention. Given that I’m handing in my thesis in the next 14 days I should, on average, have a whole lot more time on my hands to get involved.

Why don’t YOU take part as well? It’s a great way to meet new people and think through new ideas!

http://change.mooc.ca

Project Reclaim: or, how I learned to start worrying and love my data.

The irony of a 'trailblazer' being rendered inert

A few days ago, via Stephen Downes, I came across Project Reclaim, an attempt by Boone Gorges to ‘reclaim’ his data from the multiple silos he’s been putting them in. He’s talking about those places where it’s easy to get data into but not so easy to get them out of: Facebook, YouTube, Twitter… the list goes on. I was in the right frame of mind to take action after listening to Jason Scott be interviewed recently about the importance of digital heritage.

To be clear: none of what follows is about getting a warm fuzzy feeling from being more ‘open’. It’s everything to do with having access to my data when I’m the same age as my parents. This stuff is important.

Eventually, I’d like to be running open everything, but the first step is to have control of my data. I certainly can’t trust Facebook to host my data, but that’s not to say it can’t be an output – a place where data from other places is mirrored.

The first thing I decided to do was to map as many places where I store things online. I highlighted those services in green that are based on Open Source technologies. Those in orange are services where it’s reasonably straightforward to get your data out. Those in red are those where it’s difficult to download and export your data.

Project Reclaim - mindmap

Over the rest of 2011 I’m going to be trying to make that mindmap greener. You can see that I’ve started to add (in pink) alternative services. I may have mis-coloured some elements (Dropbox should be orange, for example) – but the idea is sound.

Where am I going to start? I’m going to invest in Linode which means I’ll be able to host things like Sparkleshare (to replace Dropbox) and FlexPaper to replace SlideShare and Issuu. I’m not so concerned with the Google-based stuff at the moment as their committed (at the moment) to making exporting your data fairly painless – but I wish I could bulk-download my YouTube videos…

Image CC BY ecastro

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