Continue the eduKateSG Learning Node Series through the reading routes below. Return to the Learning Node reading index or the Education Hub for the wider map.
Reflection, coordination and learning improvement
- How Attributional Retraining Works | Change the Explanation of Failure So the Next Strategy Can Change
- How After-Action Reviews Work | Turn Experience Into Evidence Before Memory Rewrites the Story
- How Learning Analytics Works | Turn Digital Traces Into Evidence Without Mistaking Activity for Learning
- How Training Needs Analysis Works | Find the Performance Gap Before Designing the Course
- How Socially Shared Regulation of Learning Works | Help a Group Plan, Monitor and Adapt Without Pretending Collaboration Regulates Itself
- How Design-Based Implementation Research Works | Improve an Educational Idea and the System That Must Carry It
- How Learning Engineering Works | Combine Learning Science, Design, Data and Iteration Without Letting the Tool Become the Goal
Training, simulation and professional competence
- How Cognitive Task Analysis Works | Extract Expert Decisions, Cues and Hidden Knowledge Before Designing Training
- How Practice-Based Teacher Education Works | Rehearse, Decompose and Approximate Teaching Before the Stakes Are Real
- How Entrustable Professional Activities Work | Turn Competence Into Decisions About What a Learner Can Be Trusted to Do
- How Whole-Task Learning Works | Train the Whole Performance Without Overloading the Novice
- How Simulation-Based Learning Works | Practise Consequences Before the Real Stakes Arrive
- How Precision Teaching Works | Measure Learning Rate, Not Just Final Accuracy
- How Scenario-Based Training Works | Practise Decisions Inside Unfolding Situations, Not Isolated Steps
- How Simulation Prebriefing Works | Prepare the Learner Without Solving the Scenario Before It Starts
- How Simulation Debriefing Works | Turn an Experience Into a Better Next Performance
- How Rapid-Cycle Deliberate Practice Works | Stop, Fix, Rewind and Repeat the Weak Moment
- How Part-Task Practice Works | Isolate a Bottleneck Without Losing the Whole Performance
Practice feedback and motor learning
- How Behavioral Skills Training Works | Instruct, Model, Rehearse and Give Feedback Until the Skill Is Observable
- How Self-Controlled Feedback Works | Let Learners Ask for Information Without Turning Choice Into Dependence
- How Dyad Practice Works | Alternate Doing and Watching So Two Learners Get More Learning From the Same Practice Time
- How Attentional Focus Instructions Work | Direct Attention Toward the Effect of the Action Without Turning the Body Into a Checklist
- How Knowledge of Results Works | Tell the Learner What Happened Without Doing the Correction for Them
- How Knowledge of Performance Works | Show the Learner How the Action Was Executed Without Turning Feedback Into a Script
- How Summary Feedback Works | Let Several Attempts Accumulate Before Revealing the Error Pattern
- How Average Feedback Works | Show the Pattern Across Attempts Without Making Every Trial a Correction Event
- How Feedback Frequency Works | Decide How Often External Correction Should Arrive Without Creating Dependence
- How Concurrent Feedback Works | Guide the Action While It Is Happening Without Making the Display Part of the Skill
- How Terminal Feedback Works | Let the Learner Finish the Action Before External Correction Arrives
- How Error Augmentation Works | Make the Mistake Larger So the Learner Can Detect and Correct It
- How Sensory Augmentation Works | Add Visual, Auditory or Haptic Information Without Replacing the Learner’s Own Senses