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pLearn blog - personal learning environment - NRC / Rita

ELIS Wheel explains the concept of PLE (Personal Learning Environment) from a different angle. Its implementation should allow learners to self-train throughout life. It includes four steps in the management and control of their self-training:

  • Explore: Investigate, Find, Collect resources needed to learn new material.
  • Learn: Learn, mix and remix contents from other resources to create new content.
  • Interact: Interact with the community, create a collective intelligence and enrich other contents.
  • Socialize: Create a social network to interact with others.

idea from Deeming Wheel or PDCA (Plan Do Act Check) Wheel for business process improvement.

Stephen Downes’ vision for a PLE - 1. A personal profiler that would collect and store personal information. 2. An information and resource aggregator to collect information and resources. 3. Editors and publishers enabling people to produce and publish artifacts to aid the learning and interest of others. 4. Helper applications that would provide the pedagogical backbone of the PLE and make connections with other internet services to help the learner make sense of information, applications and resources. 5. Services of the learners

my stuff

functional equivalent to Stephen's artifacts to aid learners and helper application

  • Learning Spaces - paths, guides for learners - assume many learners would like some direction - not curriculum exactly but include some assessment to suggest level of understanding and applicability that has been acquired/accomplished

Learn more...

  • Stephen Downes - Learning Object Repositories - a harvesting-based repository network is more efficient than a repository federation.
  • Research Scope - A national portal designed to raise the profile of Open Access research in Ireland. Interestingly, uses the harvester developed by the Public Knowledge Project
  • APML (Attention Profile Markup Language) is a means of sharing an individual attention profile. APML is concerned with the mobility of a more coarse-grained profile, consisting of a collection of weighted concepts, either self-asserted or aggregated from services. The spec is generally simple enough to implement, despite a few odd design choices, consisting basically of a list of "concepts" (keywords or labels) and "sources" (URLs) that are of interest to the subject, all of which have a weighting from 0 to 1 and some additional metadata about where the weightings come from. APML (Attention Profile Markup Language)