Why “Signification” Beats Simple “Explain Your Choice”
Most training platforms can tell you what someone clicked. Some can even ask a follow-up: “Why did you choose that?” But if you’ve ever reviewed those responses
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Practical notes on training design, analytics, and decision-making learning.
Why Bayesian Skill Tracking Produces More Accurate Training Than Scores or Completion
Most training systems reduce learning to a final state. Completed or not. Passed or failed. Certified or incomplete. This model is administratively convenient,
From Documents to Decisions: How PathBind Automates Scenario-Based Training
Most organizational knowledge lives in static documents. Policies sit in PDFs. Procedures live in manuals. Critical know-how is buried in Word files and interna
How Self-Signification Reveals Learner Reasoning in Decision-Based Training
Most training platforms can tell you what choice a learner made. They cannot tell you why. This limitation is not cosmetic. It is structural. Traditional e-lear
Why Traditional E-Learning Fails at Teaching Judgment
Most workplace training systems still rely on a model borrowed from exams. A learner selects an answer. The system evaluates it. If the answer is wrong, the lea