Cognitive Model Specification · Draft v0.1

Cognition as a structured system

Iqra's cognitive model treats understanding as measurable and improvable. It guides the mentor's behavior and the learning engine's decisions.

Core constructs

Cognitive Activation

Engaging the learner's mind through challenge.

Reconstruction

The internal rebuilding of ideas that produces understanding.

Misconceptions

Cognitive errors that distort understanding and require precise correction.

Memory Stability

The strength and durability of retained knowledge over time.

Transfer

The ability to apply knowledge across domains and contexts.

Identity Integration

Incorporating learning into self-concept.

Cognitive variables

Activation Level

Measures how deeply the learner is thinking.

Reconstruction Quality

Accuracy and depth of internal idea rebuilding.

Misconception Density

Number and severity of cognitive errors.

Memory Strength

Predicts retention and decay curves.

Transfer Capability

Assesses cross-domain application.

Identity Alignment

How learning influences identity and confidence.

Cognitive processes

Challenge Processing

How the learner responds to cognitive friction.

Conceptual Mapping

How the learner organizes ideas and relationships.

Error Correction

How misconceptions are identified and resolved.

Memory Reinforcement

How spaced revisits strengthen retention.

Cross-Domain Application

How knowledge is transferred to new contexts.

Reflective Integration

How reflection deepens identity and capability.

Cognitive states

  1. Activated State

    The learner is engaged and thinking deeply.

  2. Reconstruction State

    The learner is rebuilding ideas internally.

  3. Clarification State

    The mentor provides targeted explanation.

  4. Reinforcement State

    Memory is strengthened through revisits.

  5. Transfer State

    Understanding is tested across contexts.

  6. Reflection State

    Identity is shaped through journaling.

Cognitive signals

Behavioral Signals

Response patterns, hesitation, confidence, error frequency.

Linguistic Signals

Clarity, structure, conceptual accuracy, reasoning depth.

Memory Signals

Recall speed, retention stability, revisit needs.

Transfer Signals

Cross-domain reasoning and analogy quality.

Model outputs & applications

Personalized Guidance

Adaptive explanations and challenges.

Misconception Maps

Structured representations of cognitive errors.

Memory Curves

Predictions of retention and decay.

Transfer Profiles

Assessments of cross-domain mastery.

Identity Growth Patterns

Insights into learning identity formation.

Model Applications

Mentor behavior, personalization, graph navigation, and experience design.

The goal: the world's most advanced understanding of human learning — enabling a mentor that strengthens every mind.