E-Learning 3.0 Newsletter


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Week 3: Graph

Greetings from Riyadh as we begin week three.

This is a large and complex topic and we will only be able to touch the surface in this week. To give everyone a sense of the scale of the topic, I have assembled a set of five resources. These resources are not intended for deep reading (unless you really want to). Look at the resources, study the illustrations, and maybe follow some of the links. We run the range from basic graph theory to deep AI to complex data structures and the future of the web - all in one week.

This week's guest is Ben Werdmuller - the founder of Elgg, the founder of Known, and now working with Matter. We'll talk a bit about his work in the past but I'm far more interested to know where he sees the future of initatives like IndieWeb taking us in the years ahead. Please note that because of my travel on Wednesday, we will be having our chat on Thursday, November 8.

Remember, this MOOC is only as good as all of you make it. The harvester is harvesting and I'm watching for your articles and posts. Also, the #el30 hashtag is active on Twitter. And if you want to review, you can view all the course videos (including yesterday's conversation with Tony Hirst) on the website.

Resources

A Gentle Introduction To Graph Theory
Vaidehi Joshi, BaseCS, 2018/11/05

This is a gentle introduction to graph theory. Graphs are data structires in which entities - called 'nodes' - are connected to other entitis via some sort of a link - called an 'edge'. In graph theory there are no limits on what can be connected, nor how they can be connected. Defining graphs in specific ways, however, creates the structures that underlie most of the modern web.

Web: [Direct Link] [This Post]

The Neural Network Zoo
Fjodor van Veen, 2018/11/05

Neural Networks are types of graphs. In the past I have stated that in order to be a network, a change of state in one entity in a graph must be capable of producing a change of state in another entity. Neural networks are therefore dynamic and interactive graphs. This resource describes a bunch of different neural networks. Different neural networks have different capabilities, and today are playing an increasingly important role in artificial intelligence.

Web: [Direct Link] [This Post]

Types of Machine Learning Algorithms in One Picture
Vishakha Jha, TechLeer, 2018/11/05

The diagram in this resource descibes some different types of neural networks. Take a look at the specific tasks they perform - neural networks are good at things like classification and recgnition, as well as regression (that is, finding a trend or regulrity in data). I got this image from this page, which has more resourcs on neural networks.

Web: [Direct Link] [This Post]

Graph Data Structure And Algorithms
GeeksforGeeks, 2018/11/05

Graphs are important types of data structures. Instead of thinking of things in rows and columns (the way we would in a spreadsheet or a database) we think of things as nodes and edges. This page has a very brief description of a graph data structure and then a long list of things that can be done with graphs - cycling, sortinfg, spanning, searching. This page is meant to explor, not to learn - ollow the links, try running some of the code (click on the r'run in IDE button').

Web: [Direct Link] [This Post]

What college students should learn about Git
Christopher Jeffery, Medium, 2018/11/05

You may have heard of GitHub - the open source software repository that was recently acquired by Microsoft for $7.5 billion. GitHub is important because it allows authors to release related versions of their software, to incorporate and merge contributions from many authors, and to allow people to create their own version (or 'fork') any application. To do this, GitHub is structured as a Directed Acyclic Graph, creating a series of relationships among code libraries.

Web: [Direct Link] [This Post]

Posts

Don’T Do Things To People, Do Things With People
gibirger, via פλenK, 2018/11/05

Short presentation in which Stewen Downes outlines the elements of the classical approach to workplace learning that can be and are being challenged by new forms of enterprise organization and workplace learning. I graped  the quotation Don’t do things to people, do things with people. Will keep it in mind . via OLDaily

Web: [Direct Link] [This Post]

Post-It Found! The Low-Tech Side Of Elearning 3.0 ;-)
noreply@blogger.com (Apostolos K. ("AK")), Multilitteratus Incognitus, 2018/11/05

Greetings fellow three-point-oh'ers (or is it just fellow eLearners?) This past week in eLearning 3.0 (Week 2, aka 'the cloud'). This week's guest was Tony Hirsch, and what was discussed was the cloud, and specifically Docker.  Before I get into my (riveting) thoughts on the cloud, let me go back  to Week 0 (two weeks ago) and reflect a little on the thoughts I jotted down on my retrieved post-it note.

Web: [Direct Link] [This Post]

#El30: Interpreting The Cloud
Learning Complexity, 2018/11/05

The point of the computing cloud for me has been the continued abstraction of data and services from the computing platform. I've been using computers since early 1980s (In 1982, I wrote my dissertation on the University of Miami's UNIVAC 1100), and I became a Mac user in 1987, so I am well-versed in the problems with exchanging data on one platform with users on another platform.

Web: [This Post]

Connected Learning By Playing With Rss, Blog Feeds, Aggregators And Harvesters
Roland, Learning with Moocs, 2018/11/05

I created this site on Reclaim Hosting, the hosting service for ‘educators and institutions’ (and, I guess, for learners in general) co-founded by Jim Groom. Jim previously gave the world the word Edupunk and he facilitated the digital storytelling course ds106. Learning with Moocs is all about connected learning and more specifically about a number […]

Web: [Direct Link] [This Post]

Indiewebifying This Site
Roland, Learning with Moocs, 2018/11/05

So I installed the IndieWeb plugin and it authenticates me on Indielogin – I only had to enter my domain name learningwithmoocs.com. Also other members of the IndieWeb-universe were able to comment on this site just by commenting on their own site. So far so good, but it’s still useful to consult the Getting Started […]

Web: [Direct Link] [This Post]

Containers (Part 2) And Harvesting Feeds In #El30 Week 2
Laura, lauraritchie.com, 2018/11/05


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]

Building With Learning #El30: Week 2
Laura, lauraritchie.com, 2018/11/05


While watching the discussion between Tony Hirst and Stephen Downes as part of the cmooc #el30 (my other posts are here) there were moments of clarity on my part but also I found myself really not understanding. Things that I thought were the important points were not. My lack of understanding only came clear when […] The post Building with learning #el30: Week 2 appeared first on lauraritchie.com.

Web: [Direct Link] [This Post]

Taking A Course By Following A Course
Gerald Ardito, Inventing Learning, 2018/11/05

My brain isn’t very happy with the paradigm shift (yet), but I am taking Stephen Downes’s cMOOC E Learning 3.0 by following it in my feed reader (Feedspot). When I say my brain isn’t very happy I mean that the part of my brain that is used to a course having one specific path and […]

Web: [Direct Link] [This Post]



Please note: these posts were added to the newsletter using the harvester. Apologies if I missed you. Don't forget, you can submit your feed here!. The 'Submit Feed' link also appears on the course menu. We've had a number of submissions so far (and I've added the feeds where I've found posts to list for this week). You can see them on the Feeds Page.

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