Personal Learning the Web 2.0 Way Stephen Downes May 20, 2007.

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Presentation transcript:

Personal Learning the Web 2.0 Way Stephen Downes May 20, 2007

Overview AI and Expert Systems Learning Design The Connectivist Alternative Personal Learning

Expert Systems Two major aspects: –Representation –Inference engine Analogy: the wizard

Properties of Expert Systems Expert systems are goal oriented Good expert systems are efficient Expert systems should be adaptive

AI Requires… Knowledge Acquisition –Subject matter expert Knowledge Representation –Eg. creation of resources Knowledge Encoding –Eg. creation of if-then structures

Learning Design “Much of the work on Learning Design focuses on technology to automatically “run” the sequence of student activities (facilitated by the educator via computers), but an activity in a Learning Design could be conducted without technology.” – James Dalziel arning-design-and-open-source-teaching/

IMS Learning Design Based on Education Modelling Language (Rob Koper) Examples… –Programmed instruction –Role play –Competency-based learning Idea that LDs are “pedagogically neutral”

Competency-Based Learning

LD: Conceptual Model Koper

LD Tools Nr. Tool NameLinkAuthorLevels 1 CopperAuthorwww.copperauthor.orgOUNLA 2 Reload LD Editor tml ReloadA,B,C 3 ASK LDTwww.ask.iti.grUniversity of Piraeus A,B 4 Mot+ gp/eng/productions/mot.htm University of Quebec A 5 Cosmoswww.unfold- project.net:8085/UNFOLD/ general_resources_folder/co smos_tool.zip University of Duisburg A,B Berggren et.al.

The Lego Metaphor Berlanda & Garcia

The Learning Refinery LD but one element of a larger picture Includes Learning Objects, repositories, etc “LDs by themselves are of limited value without a bundle of surrounding documentation, metadata, and taxonomies” Greller

Connectionism Minsky: Symbolic vs. Analogical Man: Top-Down vs. Bottom Up

Messy vs. Neat

Enter the Network Everything is connected to everything else (Theory-laden data)

Pattern Recognition… Gibson

stands for? Or is caused by? Distributed Representation = a pattern of connectivity Hopfield

Where is the PLE?

The way networks learn is the way people learn…

Network Learning… Hebbian associationism based on concurrency Back propagation based on desired outcome Boltzman based on ‘settling’, annealing This…

Leads to This… Personal Learning… To teach is to model and to demonstrate To learn is to practice and reflect

What is the PLE?

We can get an idea of what the PLE looks like by drilling down into the pieces… Model - conceptual frameworks - wiki (wiki API, RSS) - concept maps (SVG, mapping format) - gliffy (SVG?) - reference frameworks - Wikipedia - video / 2L 3D representation – embedded spaces The question is – how to transport and represent models that are actually used?

Demonstrate - reference examples - code library - image samples - thought processes - show experts at work (Chaos Manor) - application - case studies - stories The question is, how can we connect the learner with the community at work?

Practice - supported practice - game interfaces - sandboxes - job aids - flash cards - cheat sheets - games and simulations - mod kits - mmorpgs The question is, how can we enable access to multiple environments that support various activities?

Reflection - guided reflection - forms-based input - presentations and seminars - journaling - blogs, wikis - communities - discussion, sharing The question is, how can we assist people to see themselves, their practice, in a mirror?

Choice – Identity - Creativity - simulated or actual environments that present tasks or problems - OpenID, authentication, feature or profile development - Portfolios & creative libraries People talk about ‘motivation’ – but the real issue here is ownership

Downes