E-Learning 3.0 Newsletter
Newsletter archives are
here
Conversation With Ben Werdmuller
I returned yesterday from Saudi Arabia, got some sleep, and then leapt straight into a conversation with Ben Werdmuller. I've been reading your posts with interests, and thanks to those of you who commented on my first draft of the 'Graph' article for this week (you can still view it
here - I'm still working on it, and the final version will be highlighted tomorrow.
Videos
Conversation with Ben Werdmuller
Nov 08, 2018 video Now working with Unlock, Ben Werdmuller co-founded Elgg and Known, worked on Medium and Latakoo, and invested in innovative media startups to support a stronger democracy at Matter. We talked about blockchain, decentralized applications, indieweb, and how people can have their own online presence. URL: https://www.youtube.com/watch?v=_QM8mAX3cV0
Resources
Gab and the decentralized web
Ben Werdmuller,
2018/11/08
This post, referenced during our conversation today, references the case of Gab and raises the issue of whether the decentralized web is a haven for objectionable content. It's also a good example of a website using WebMentions to link to comments made on other website (including, of everything works, this one).
Web: [Direct Link] [This Post]
Posts
#El30 Graphing
Keith Lyons,
#EL30 – Clyde Street,
2018/11/08
Week 3 of Stephen Downes’ E-Learning 3.0 course is looking at Graphs. Stephen recommended some resources for this topic. These included: Vaidehi Joshi’s (2017) gentle introduction to graph theory. In her discussion of graphs, Vaidehi observes “in mathematics, graphs are a way to formally represent a network, which is basically just a collection of objects … Continue reading #EL30 Graphing
Web: [Direct Link] [This Post]
Learning Record Store (Downes-Shelly Blake-Plock Conversation) E-Learning 3.0
ioannouolga,
connecting data to information to knowledge,
2018/11/08
xAPI: The Experience API (or xAPI) is a new specification for learning technology that makes it possible to collect data about the wide range of experiences a person has (online and offline). This API captures data in a consistent format about a person or group’s activities from many technologies. Very different systems are able to securely communicate […]
Web: [Direct Link] [This Post]
#El30 Week 2 – Cloud
daveymoloney,
Davey Moloney,
2018/11/08
In the second week of #EL30 we explored the topic of Cloud. Stephen begins by introducing the idea: The joke is that “the cloud” is just shorthand for “someone else’s computer.” The conceptual challenge is that it doesn’t matter whose computer it is, that it could change any time, and that we should begin to … Continue reading "#EL30 Week 2 – Cloud"
Web: [Direct Link] [This Post]
E-Lerning 3.0 Week 3 Model Graph Task
Frank,
Doin’ Stuff,
2018/11/08
I think I get the idea of AI and neural networks and that a graph is an abstraction of human functions like the zoo of neural networks described in The Neural Network Zoo . However, I was a bit stumped with the week’s task to create a model graph besides the social network graph that Stephen … Continue reading "E-Lerning 3.0 Week 3 Model Graph Task"
Web: [Direct Link] [This Post]
E-Learning 3.0 : Graph
jennymackness,
e-learning 3.0 – Jenny Connected,
2018/11/08
Graph is the Topic for Week 3 of Stephen Downes’ E-Learning 3.0 MOOC. Again, he has provided a good Synopsis – see https://el30.mooc.ca/cgi-bin/page.cgi?module=7. In the last three paragraphs in this synopsis he writes: In connectivism we have explored the idea… Continue reading →
Web: [Direct Link] [This Post]
#El30 Week 3: Plumbing?
x28,
EL30 – x28's new Blog,
2018/11/08
It bugs me when some peer nerds urge all the rest of the world to adopt our way of thinking. Probably they are confusing two important things.
Continue reading →
Web: [Direct Link] [This Post]
Stranger Things, Season 1 In Graphs
Gerald Ardito,
Inventing Learning,
2018/11/08
This week in the #EL30 course with Stephen Downes, we are looking at graphs. First, two passages from his recent draft monograph on graphs. “In connectivism we have explored the idea of thinking of knowledge as a graph, and of learning as the growth and manipulation of a graph. It helps learners understand that each […]
Web: [Direct Link] [This Post]
Connectivism Mathified #El30
tokyokevin,
kevinryan.com,
2018/11/08
I am in this online course, an extension of a MOOC, called E-Learning 3.0, hosted by Stephen Downes. Over 10 weeks (12 if you count the warm-up) we look at the technical and social sides of where learning online (edtech?) is going, or at least where it is right now. MOOCS have been closely associated … Continue reading "Connectivism mathified #el30"
Web: [Direct Link] [This Post]
Containers (Part 2) And Harvesting Feeds In #El30 Week 2
Laura,
lauraritchie.com,
2018/11/08
It’s coursework day for me and I did two things: Watched the video on Applications, Algorithms and Data: Open Educational Resources and the Next Generation of Virtual Learning and I sorted harvesting the course feeds in both Feedly and gRSShopper, which was a suggested task to go with this week. This post is divided into two sections, […]
The post Containers (part 2) and Harvesting feeds in #el30 Week 2 appeared first on lauraritchie.com.
Web: [Direct Link] [This Post]
Why Long Tails Matter
Roland,
Learning with Moocs,
2018/11/08
This is an important article by Ton Zijlstra about “distributed technology” and the long tail. In fact, he applies it to Mastodon, a decentralized combination of microblogging and virtual communities. I quote: This is the notion that tool usage having a long tail is a measure of distribution, and as such a proxy for networked […]
Web: [Direct Link] [This Post]
Task
This week's task has three parts
- Create a model graph of some aspect of the E-Learning 3.0 course (it doesn't have to be an actual graph, only a representation of what an actual graph might look like. We've already seen, eg., graphs on the relations between people in the course. Could there be other types of graphs?
- In your model, consider how the states of the entities in that graph might vary. Consider not only how nodes might vary (eg., a person might have a different height over time) but also how the edges might vary (eg., a person might have a different strength of relation (calculated how?) with another person over time).
- In your model, consider how knowledge about the changes in states in the graph might be used.
Record the results in your blog or website. And share with #el30.
Course Newsletter RSS
A course RSS feed is now available. Now you don't need to read the newsletter or even visit the website - you can take this course from the comfort of your own feed reader,
WordPress, gRSShopper application, or whatever. Here it is:
https://el30.mooc.ca/course_newsletter.xml
