Data

Data

Activities

2018/10/24 12:00 Conversation with Shelly Blake-Plock

Synopsis

This week the course addresses two conceptual challenges: first, the shift in our understanding of content from documents to data; and second, the shift in our understanding of data from centralized to decentralized.

The first shift allows us to think of content - and hence, our knowledge - as dynamic, as being updated and adapted in the light of changes and events. The second allows us to think of data - and hence, of our record of that knowledge - as distributed, as being copied and shared and circulated as and when needed around the world.

There is a history of decentralized data applications on the web, from web servers to email to the peer2peer applications of the 1990s and 2000s such as Napster and Gnutella. Yet their primary application was limited to file sharing and broadcasting, and genuine peer-to-peer interaction online was limited to platforms such as social networks and learning management systems.

This week we look at new technologies enabling safe and secure interaction and data sharing based on authenticated personal content storage and linked data networks.

Linked data brings into play a wide range of content sources not previously considered, or available, for collecting and sharing. We are beginning to see how we generate geographic data as we travel, economic data as we shop, and political data as we browse videos on YouTube and Tumbler. A piece of media isn’t just a piece of media any more: it’s what we did with it, who we shared it with, and what we created by accessing it.

Learning in dynamic distributed data networks becomes a process of creating and curating our own data. We will think of our learning resources as something we create, own and share, and not just as rentals from the college textbook or online publishers. It also becomes a process of being able to comprehend data, to be able to look at representations of data though dashboards and visualizations, and to be able to recognize patterns and draw conclusions.

Learning with data isn’t the same as learning with books. It’s interactive, immersive and engaging, a process of learning how to perceive and comprehend rather than to decode and store. We need to think of knowledge as recognition rather than remembering and learning as a process of adjusting and adapting to changing circumstances as they present themselves anew each day.

Tasks

Create a Blog and Add Its RSS Feed to the Course

There are three parts to this task:

create a blog of some sort (you can use Blogger, WordPress, Edublogs, or any other service you like, or if you are feeling adventurous, you can install your own version of gRSShopper on Reclaim - I'll be providing video instructions).
find the RSS feed for your blog - you can use the OERu Feed Finder to do this. Don't worry - you don't even need to log in.
Enter the RSS Feed URL into the form I will be providing in a day or two (it exists, but it hasn't finished testing yet).

Due: Oct 26, 2018

Media

AI in Education Symposium - Introduction Oct 22, 2018 video Artiﬁcial Intelligence and 21st Century Education in Ottawa, my brief introduction and posing of a problem.

Conversation with Shelly Blake-Plock Oct 24, 2018 video Week 1 of E-Learning 3.0 with Shelly Blake-Plock, Co-Founder, President and CEO - Yet Analytics.

Installing gRSShopper on Reclaim Oct 24, 2018 video Demonstration in real time showing how to install gRSShopper on Reclaim Hosting

Resources

Feature Article E-Learning 3.0, Part 1: Data
stephen@downes.ca, Oct 26, 2018.

When we create and share our own data, we are look at and learning about these associations from the other side. By linking our own data and creating our own patterns, we can become more sensitive to them in the world. We see and manage our connections with each other, with the world of things, and with our own learning records and accomplishments

Why Data Culture Matters
Alejandro Díaz, Kayvaun Rowshankish, Tamim Saleh, McKinsey Quarterly,

This article explores the transition from document-based culture to data-based culture. It identifies "seven of the most prominent takeaways from conversations we’ve had with these and other executives who are at the data-culture fore." It presents data as a trool for making decisions, the democratizing effect of data, data as an element in risk management, data as an enterprise's "crown jewel" asset, and the link between data and management and talent.

Activities

Synopsis

Tasks

Media

Resources

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