The System 3 Method: integrating intuition, reason and creative metacognition for deep learning

Area of Science:

• Educational Psychology
• Cognitive Science
• Learning Sciences

Background:

• Current educational psychology frameworks struggle to integrate deep learning, learner agency, and metacognition.
• A need exists for coherent models explaining how students construct and transform knowledge creatively.

Purpose of the Study:

• Introduce the System 3 Method as a pedagogical framework.
• Define System 3 as a functional coordination construct for regulated learning shifts.
• Propose NUD (novelty, usefulness, diversity) as a metric for creative learning trajectories.

Main Methods:

• Conceptual analysis defining System 3 and its translation into the GRIMT (Generation, Reflection, Integration/Iteration, Metacontrol, Time) method.
• Situating the System 3 Method within existing theories like self-regulated learning and generative learning.
• Providing a worked instructional example and discussing boundary conditions.

Main Results:

• System 3 facilitates iterative cycles integrating intuitive and rational processing under metacognitive control.
• The GRIMT framework operationalizes System 3 for practical application.
• NUD offers a complementary evaluation alongside academic mastery, focusing on learner-relative creativity.

Conclusions:

• The System 3 Method provides a falsifiable framework for a pedagogy of creative metacognition.
• Education should prioritize training learners to actively construct, evaluate, integrate, and transform knowledge.
• Technology can support learning scaffolds when human authorship and verification are preserved.