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Step 10 of 13

Becoming: how engagement may change the person

Repeated, reflective episodes may alter future habits, judgment, and mode choice. CCT supplies a proposed cognitive mechanism for that return path.

Co-production context

Person, AI tool, task, and context jointly shape each episode.

1

Dispositions

What tendencies does the person bring?

  • Intellectual Humility
  • Internal Locus of Evaluation
  • Investment in Process
  • Tolerance for Ambiguity
  • Tinkering Disposition

2

Principles

What rules guide the person's choices?

  • Authorship
  • Productive Friction
  • Calibrated Trust
  • Dialogue
  • Voice Preservation
  • Reflection

3

Eight modes

What function is the interaction performing?

  • Oracle
  • Production Assistant
  • Tutor
  • Collaborative Problem-Solver
  • Verification Agent
  • Creative Expander
  • Critical Challenger
  • Problem Setter

4

Outcomes

What may strengthen or weaken?

  • Learning
  • Judgment
  • Agency
  • Voice
  • Flourishing*

Becoming closes the loop

Cognitive Continuum Theory helps explain how task cues can move cognition between more intuitive and more analytic processing. Reflection on repeated episodes may then change what the person brings to later work. This developmental return path is proposed and requires longitudinal evidence.

Becoming is the return path from outcomes and reflection into later dispositions and choices. It is a developmental proposition, not a sixth layer. *Flourishing remains a theoretical long-run outcome.

Hammond's Cognitive Continuum Theory, or CCT, rejects a simple choice between intuition and analysis. Cognition can range from fast, pattern-based judgment through quasi-rational mixtures to deliberate, rule-based analysis. Task properties can induce movement along that continuum, and performance depends on cognitive fit.

Generative AI changes the task cues. Fluent output can invite quick acceptance, while explicit criteria, comparison, challenge, and independent checking can induce more deliberate processing. AIEM's modes name observable functions through which those shifts may occur. The model does not claim that analytic cognition is always superior.

CCT explains switching; reflection explains development

CCT helps explain movement within an episode: why a task or AI response may keep cognition near a quick intuitive judgment or prompt more analytic evaluation. Becoming concerns change across episodes. Practice becomes development only when feedback and reflection update what the person notices, values, and does next.

One productive conversation does not install a disposition. Repeated behavior without reflection may only automate the same habit.

The mechanism under the return path

These sources support cognitive fit and reflective practice. They do not establish that AIEM instruction causes durable development.

Supports Cognitive fit

  • Cognitive Continuum Theory

    What it established. Task properties can induce cognition toward intuition, analysis, or a quasi-rational middle, and performance depends on the fit between cognition and task.

    What it licenses here. AIEM can treat AI-supported tasks and engagement modes as conditions that shift cognitive processing. It does not license the claim that analytic cognition is always better.

    Hammond (1996), Human Judgment and Social Policy. Source

Supports Becoming

  • The reflective practitioner

    What it established. Competent professionals think in action and reflect on action afterwards, and it is that reflection, not the accumulation of experience by itself, that turns practice into expertise.

    What it licenses here. The Becoming loop. Doing a thing repeatedly does not by itself change the person doing it; reflecting on it is the mechanism, which is the reason the model is teachable rather than merely descriptive. Schön was writing about human practice without AI, and whether the same conversion works when the practice is mediated is an open empirical question, not a settled one.

    Schön, D. A. (1983). The Reflective Practitioner: How Professionals Think in Action. Basic Books. (Routledge reissue, 2017.) Source

Quick check

What does Cognitive Continuum Theory predict about intuition and analysis?

This mechanism creates testable predictions: task cues should change mode selection; forced evaluation should change later unaided performance; and repeated reflective practice should predict later choices better than simple exposure. The evidence step separates what has been tested from what remains proposed.