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03 September 2004

Workflow learning (or workflow-based e-learning) is a term that’s emerged over the past couple of years to describe a process and ensuing technology. Workflow learning is characterized by 

  • task and work support embedded in real-time workflow
  • real-time collaboration with people and systems
  • learning and performance nodes modeled with business process modeling tools
  • short, granular bursts of learning and performance support embedded at specific nodes of a business process
  • dynamic generation of on-the-fly tasks as work evolves
  • continuous performance improvement and automated performance measurement
  • personalized delivery, management, and routing of tasks and task support.

Companies are analyzing workflow in order to reduce the time needed for tasks and business processes, thereby increasing productivity and cutting costs. Embedding learning into the workflow can reduce the time needed for both training and informal learning.

 

How does workflow learning differ from electronic performance support systems (EPSS)? Unlike EPSS, workflow learning

  • is iterative and evolves as work processes evolve
  • has a strong bi-directional interaction
  • has robust measurement, monitoring, and modification feedback loops.

Workflow learning applications integrate with enterprise applications—for example, ERP or CRM systems—to link worker performance with organizational data, business intelligence, and productivity metrics.

 

Often, the combination of these applications takes the form of a personalized workflow portal or dashboard—one computer screen that gives workers access to various application functions. Instead of every worker using the same set of software, the functions offered are job role-based.

 

Learning also must be delivered according to specific workflow and job tasks. Traditional application training or business process training won’t meet the needs of a worker who uses a customized interface. Workflow, then, becomes the foundation and context for enterprise learning.

 

There’s no learning transfer—learning takes place as a result of a worker interacting with the system. Work and learning are now simultaneous and just-in-time learning is too late.

 

(Personal capture of Adkin's work review; taken from Learning Circuits, where this text was adapted from Sam Adkins)


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