Initial training with difficult items facilitates information integration, but not rule-based category learning.

Area of Science:

• Cognitive Psychology
• Learning Science
• Perceptual Learning

Background:

• Prior research presents conflicting findings on optimal learning strategies for complex cognitive skills.
• Debate exists on whether to start with easy or difficult examples for skill acquisition.

Purpose of the Study:

• To investigate the impact of training example difficulty order on learning a perceptual categorization task.
• To clarify the debate on whether easy-to-difficult or difficult-to-easy learning sequences are more effective.

Main Methods:

• Two experiments were conducted using a difficult perceptual categorization task.
• Participants were assigned to one of three training conditions: easy-to-difficult, difficult-to-easy, or random order.
• The task involved learning categories that were either rule-based or information-integration.

Main Results:

• Training procedure effectiveness varied based on category type.
• For rule-based categorization, all three training orders yielded similar performance.
• For information-integration tasks, participants starting with difficult examples significantly outperformed those in the other two conditions.

Conclusions:

• The optimal learning sequence for cognitive skills is task-dependent.
• Explicitly learnable (rule-based) categories are less sensitive to training order.
• Implicitly learned (information-integration) categories benefit from an initial exposure to difficult examples.