From Courses to Campaigns : using the 70:20:10 approach

Charles Jennings

It’s cheaper and more practical to learn how drive a tank, land an aircraft or space vehicle, or manage a nuclear power plant safely in a simulator than risk the cost and damage of making errors in the real thing.

Course 219

The Best of Times, The Worst of Times: opportunities and challenges for the L&D profession

Charles Jennings

All-in-all the implication for L&D professionals has been to make their traditional offerings of carefully designed, time-consuming and often slowly developed structured modules, courses and programmes relevant to fewer and fewer stakeholder needs.

Survey 235

Learning and Performance Support Systems

Stephen Downes: Half an Hour

These courses are typically quite short, ranging from one day to a week, and are expensive, often costing several thousand dollars, not including transportation and time off work.

System 272

Listening

Clark Quinn

In making the Workplace of the Future project with Learnnovators, we were barreling along full tilt, working on the second module, and I was getting increasingly worried about the fact that we hadn’t tested the first. My diagramming bent had me map out the workflow of a client’s production process, to identify opportunities to tweak the process to bring in better learning science with minimal interruption. Listening, as I mentioned, in this case to Guy Wallace.

Text-to-Speech Overview and NLP Quality

Tony Karrer

Text-to-speech can create professional voice narration without any recording which provides significant advantages: keeps narrated presentations continuously up to date (it's too time consuming/expensive to rerecord human narration) faster development - streamlined workflow lower costs. Translates the incoming text into a phonetic language, which specifies exactly how each word is to be pronounced (Letter-To-Sound (LTS) module). This post is a new kind of thing for me.

Atlantic Workshop on Semantics and Services - Day 1

Stephen Downes: Half an Hour

Thus we can develop a workflow ontology in OWL. So ontology modules can be efficiently interchanged. You can get different perspectives to a module. The knowledge base of the 'utilizer' modules are augmented by sets of nominals from 'realizer' modules. After augmentation, the knowledge engines are not expected to take into account the realizer modules any more. Diagram of 'requirements' module). These are defined by other modules.

Module 100